A B C D E F G H I J K L M N O P Q R S T U V W Z

## A

AbstractBooleanPrefJDBCDataModel - Class in org.apache.mahout.cf.taste.impl.model.jdbc
AbstractBooleanPrefJDBCDataModel(DataSource, String, String, String, String, String, String, String, String, String, String, String, String, String, String, String, String, String, String, String) - Constructor for class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractBooleanPrefJDBCDataModel
AbstractCluster - Class in org.apache.mahout.clustering
AbstractCluster() - Constructor for class org.apache.mahout.clustering.AbstractCluster
AbstractCluster(Vector, int) - Constructor for class org.apache.mahout.clustering.AbstractCluster
AbstractCluster(Vector, Vector, int) - Constructor for class org.apache.mahout.clustering.AbstractCluster
AbstractDataModel - Class in org.apache.mahout.cf.taste.impl.model
  Contains some features common to all implementations.
AbstractDataModel() - Constructor for class org.apache.mahout.cf.taste.impl.model.AbstractDataModel
AbstractDistributedVectorSimilarity - Class in org.apache.mahout.math.hadoop.similarity.vector
  abstract base implementation of `DistributedVectorSimilarity`
AbstractDistributedVectorSimilarity() - Constructor for class org.apache.mahout.math.hadoop.similarity.vector.AbstractDistributedVectorSimilarity
AbstractIDMigrator - Class in org.apache.mahout.cf.taste.impl.model
AbstractIDMigrator() - Constructor for class org.apache.mahout.cf.taste.impl.model.AbstractIDMigrator
AbstractJDBCComponent - Class in org.apache.mahout.cf.taste.impl.common.jdbc
  A helper class with common elements for several JDBC-related components.
AbstractJDBCComponent() - Constructor for class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent
AbstractJDBCDataModel - Class in org.apache.mahout.cf.taste.impl.model.jdbc
  An abstract superclass for `JDBCDataModel` implementations, providing most of the common functionality that any such implementation would need.
AbstractJDBCDataModel(DataSource, String, String, String, String, String, String, String, String, String, String, String, String, String, String, String) - Constructor for class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
AbstractJDBCDataModel(DataSource, String, String, String, String, String, String, String, String, String, String, String, String, String, String, String, String, String, String, String) - Constructor for class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
AbstractJDBCDiffStorage - Class in org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc
  A `DiffStorage` which stores diffs in a database.
AbstractJDBCDiffStorage(JDBCDataModel, String, String, String, String[], String[], String, String, String, String, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.AbstractJDBCDiffStorage
AbstractJDBCIDMigrator - Class in org.apache.mahout.cf.taste.impl.model
  Implementation which stores the reverse long-to-String mapping in a database.
AbstractJDBCIDMigrator(DataSource, String, String) - Constructor for class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator
AbstractJDBCItemSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity.jdbc
  An `ItemSimilarity` which draws pre-computed item-item similarities from a database table via JDBC.
AbstractJDBCItemSimilarity(DataSource, String) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.jdbc.AbstractJDBCItemSimilarity
AbstractJDBCItemSimilarity(DataSource, String, String, String, String, String) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.jdbc.AbstractJDBCItemSimilarity
AbstractJob - Class in org.apache.mahout.common
  Superclass of many Mahout Hadoop "jobs".
AbstractJob() - Constructor for class org.apache.mahout.common.AbstractJob
AbstractLongPrimitiveIterator - Class in org.apache.mahout.cf.taste.impl.common
AbstractLongPrimitiveIterator() - Constructor for class org.apache.mahout.cf.taste.impl.common.AbstractLongPrimitiveIterator
AbstractNaiveBayesClassifier - Class in org.apache.mahout.classifier.naivebayes
  Class implementing the Naive Bayes Classifier Algorithm
AbstractNaiveBayesClassifier(NaiveBayesModel) - Constructor for class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier
AbstractOnlineLogisticRegression - Class in org.apache.mahout.classifier.sgd
  Generic definition of a 1 of n logistic regression classifier that returns probabilities in response to a feature vector.
AbstractOnlineLogisticRegression() - Constructor for class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
AbstractParameter<T> - Class in org.apache.mahout.common.parameters
AbstractParameter(Class<T>, String, String, Configuration, T, String) - Constructor for class org.apache.mahout.common.parameters.AbstractParameter
AbstractRecommender - Class in org.apache.mahout.cf.taste.impl.recommender
AbstractRecommender(DataModel, CandidateItemsStrategy) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender
AbstractRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender
AbstractVectorClassifier - Class in org.apache.mahout.classifier
  Defines the interface for classifiers that take input as a vector.
AbstractVectorClassifier() - Constructor for class org.apache.mahout.classifier.AbstractVectorClassifier
AbstractVectorModelDistribution - Class in org.apache.mahout.clustering.dirichlet.models
AbstractVectorModelDistribution() - Constructor for class org.apache.mahout.clustering.dirichlet.models.AbstractVectorModelDistribution
AbstractVectorModelDistribution(VectorWritable) - Constructor for class org.apache.mahout.clustering.dirichlet.models.AbstractVectorModelDistribution
accept(Path) - Method in class org.apache.mahout.clustering.kmeans.OutputLogFilter
AdaptiveLogisticRegression - Class in org.apache.mahout.classifier.sgd
  This is a meta-learner that maintains a pool of ordinary OnlineLogisticRegression learners.
AdaptiveLogisticRegression(int, int, PriorFunction) - Constructor for class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
AdaptiveLogisticRegression.TrainingExample - Class in org.apache.mahout.classifier.sgd
AdaptiveLogisticRegression.TrainingExample(long, String, int, Vector) - Constructor for class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.TrainingExample
AdaptiveLogisticRegression.Wrapper - Class in org.apache.mahout.classifier.sgd
  Provides a shim between the EP optimization stuff and the CrossFoldLearner.
AdaptiveLogisticRegression.Wrapper(int, int, PriorFunction) - Constructor for class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
AdaptiveWordValueEncoder - Class in org.apache.mahout.vectorizer.encoders
  Encodes words into vectors much as does WordValueEncoder while maintaining an adaptive dictionary of values seen so far.
AdaptiveWordValueEncoder(String) - Constructor for class org.apache.mahout.vectorizer.encoders.AdaptiveWordValueEncoder
add(long) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
add(int, double) - Method in class org.apache.mahout.classifier.evaluation.Auc
  Adds a score to the AUC buffers.
add(int, int) - Method in class org.apache.mahout.classifier.evaluation.Auc
add(Integer) - Method in class org.apache.mahout.common.IntegerTuple
  add an entry to the end of the list
add(int) - Method in class org.apache.mahout.common.IntTuple
  add an entry to the end of the list
add(String) - Method in class org.apache.mahout.common.StringTuple
  add an entry to the end of the list
add(int[], int[]) - Static method in class org.apache.mahout.df.data.DataUtils
  foreach i : array1[i] += array2[i]
add(State<T>) - Method in class org.apache.mahout.ep.EvolutionaryProcess
add(int, long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
addable(long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
addAll(long[]) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
addAll(FastIDSet) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
addAll(FrequentPatternMaxHeap, int, long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
addChild(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
addChild(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
addCount(int, long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
addCount(int, long) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.CompactRunningAverage
addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.CompactRunningAverageAndStdDev
addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverage
addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage
addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
addDatum(double) - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverage
addDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
addDatum(double, double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
addDelta(Vector) - Method in class org.apache.mahout.classifier.discriminative.LinearModel
  Update the hyperplane by adding delta.
addDependency(Refreshable) - Method in class org.apache.mahout.cf.taste.impl.common.RefreshHelper
  Add a dependency to be refreshed first when the encapsulating object does.
addFlag(String, String, String) - Method in class org.apache.mahout.common.AbstractJob
  Add an option with no argument whose presence can be checked for using `containsKey`method on the map returned by `AbstractJob.parseArguments(String[])`;``
addHeaderCount(int, long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
addHeaderNext(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
addInputOption() - Method in class org.apache.mahout.common.AbstractJob
  Add the default input directory option, '-i' which takes a directory name as an argument.
addInstance(String, ClassifierResult) - Method in class org.apache.mahout.classifier.ConfusionMatrix
addInstance(String, String) - Method in class org.apache.mahout.classifier.ConfusionMatrix
addInstance(String, ClassifierResult) - Method in class org.apache.mahout.classifier.ResultAnalyzer
addInteractionToVector(String, String, double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder
  Adds a value to a vector.
addInteractionToVector(byte[], byte[], double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder
  Adds a value to a vector.
addModel(OnlineLogisticRegression) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
addOption(String, String, String) - Method in class org.apache.mahout.common.AbstractJob
  Add an option to the the set of options this job will parse when `AbstractJob.parseArguments(String[])` is called.
addOption(String, String, String, boolean) - Method in class org.apache.mahout.common.AbstractJob
  Add an option to the the set of options this job will parse when `AbstractJob.parseArguments(String[])` is called.
addOption(String, String, String, String) - Method in class org.apache.mahout.common.AbstractJob
  Add an option to the the set of options this job will parse when `AbstractJob.parseArguments(String[])` is called.
addOption(Option) - Method in class org.apache.mahout.common.AbstractJob
  Add an arbitrary option to the set of options this job will parse when `AbstractJob.parseArguments(String[])` is called.
addOutputOption() - Method in class org.apache.mahout.common.AbstractJob
  Add the default output directory option, '-o' which takes a directory name as an argument.
addPattern(List<Integer>, long) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
addPointToCanopies(Vector, Collection<Canopy>) - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer
  This is the same algorithm as the reference but inverted to iterate over existing canopies instead of the points.
addPointToClusters(List<SoftCluster>, Vector) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
addPointToNearestCluster(Vector, Iterable<Cluster>) - Method in class org.apache.mahout.clustering.kmeans.KMeansClusterer
  Sequential implementation to add point to the nearest cluster
addSample(int, String, double) - Method in class org.apache.mahout.math.stats.GlobalOnlineAuc
addSample(int, double) - Method in class org.apache.mahout.math.stats.GlobalOnlineAuc
addSample(int, String, double) - Method in class org.apache.mahout.math.stats.GroupedOnlineAuc
addSample(int, double) - Method in class org.apache.mahout.math.stats.GroupedOnlineAuc
addSample(int, String, double) - Method in interface org.apache.mahout.math.stats.OnlineAuc
addSample(int, double) - Method in interface org.apache.mahout.math.stats.OnlineAuc
addText(byte[]) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder
  Adds text to the internal word counter, but delays converting it to vector form until flush is called.
addText(String) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder
  Adds text to the internal word counter, but delays converting it to vector form until flush is called.
addToHistory(int, Vector) - Method in class org.apache.mahout.classifier.sgd.RankingGradient
addToVector(String, double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.AdaptiveWordValueEncoder
  Adds a value to a vector.
addToVector(byte[], double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.ConstantValueEncoder
addToVector(byte[], double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.ContinuousValueEncoder
  Adds a value to a vector.
addToVector(String, Vector) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
  Adds a value expressed in string form to a vector.
addToVector(byte[], Vector) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
  Adds a value expressed in byte array form to a vector.
addToVector(String, double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
  Adds a weighted value expressed in string form to a vector.
addToVector(byte[], double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
addToVector(String, double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder
  Adds a value to a vector.
addToVector(byte[], double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder
  Adds a value to a vector.
addToVector(byte[], double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder
  Adds a value to a vector after tokenizing it by splitting on non-alphanum characters.
addToVector(byte[], double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.WordValueEncoder
  Adds a value to a vector.
adjustedProbability(VectorWritable, int) - Method in class org.apache.mahout.clustering.dirichlet.DirichletState
  return the adjusted probability that x is described by the kth model
advanceResultSet(ResultSet, int) - Method in class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent
advanceResultSet(ResultSet, int) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.MySQLBooleanPrefJDBCDataModel
advanceResultSet(ResultSet, int) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.MySQLJDBCDataModel
AFFINITY_DIMENSIONS - Static variable in interface org.apache.mahout.clustering.spectral.eigencuts.EigencutsKeys
  Refers to the dimensions of the raw affinity matrix input.
AFFINITY_PATH - Static variable in interface org.apache.mahout.clustering.spectral.eigencuts.EigencutsKeys
  Refers to the Path to the SequenceFile representing the affinity matrix
AffinityMatrixInputJob - Class in org.apache.mahout.clustering.spectral.common
AffinityMatrixInputMapper - Class in org.apache.mahout.clustering.spectral.common
  Handles reading the files representing the affinity matrix.
AffinityMatrixInputMapper() - Constructor for class org.apache.mahout.clustering.spectral.common.AffinityMatrixInputMapper
AffinityMatrixInputReducer - Class in org.apache.mahout.clustering.spectral.common
  Tasked with taking each DistributedRowMatrix entry and collecting them into vectors corresponding to rows.
AffinityMatrixInputReducer() - Constructor for class org.apache.mahout.clustering.spectral.common.AffinityMatrixInputReducer
age(double, double, double) - Method in class org.apache.mahout.classifier.sgd.ElasticBandPrior
age(double, double, double) - Method in class org.apache.mahout.classifier.sgd.L1
age(double, double, double) - Method in class org.apache.mahout.classifier.sgd.L2
age(double, double, double) - Method in interface org.apache.mahout.classifier.sgd.PriorFunction
  Applies the regularization to a coefficient.
age(double, double, double) - Method in class org.apache.mahout.classifier.sgd.TPrior
age(double, double, double) - Method in class org.apache.mahout.classifier.sgd.UniformPrior
AggregateAndRecommendReducer - Class in org.apache.mahout.cf.taste.hadoop.item
  computes prediction values for each user
AggregateAndRecommendReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.AggregateAndRecommendReducer
AggregatorMapper - Class in org.apache.mahout.fpm.pfpgrowth
  outputs the pattern for each item in the pattern, so that reducer can group them and select the top K frequent patterns
AggregatorMapper() - Constructor for class org.apache.mahout.fpm.pfpgrowth.AggregatorMapper
AggregatorReducer - Class in org.apache.mahout.fpm.pfpgrowth
  groups all Frequent Patterns containing an item and outputs the top K patterns containing that particular item
AggregatorReducer() - Constructor for class org.apache.mahout.fpm.pfpgrowth.AggregatorReducer
Algorithm - Interface in org.apache.mahout.classifier.bayes.interfaces
  The algorithm interface for implementing variations of bayes Algorithm
AllUnknownItemsCandidateItemsStrategy - Class in org.apache.mahout.cf.taste.impl.recommender
  returns all items the user has not rated yet
AllUnknownItemsCandidateItemsStrategy() - Constructor for class org.apache.mahout.cf.taste.impl.recommender.AllUnknownItemsCandidateItemsStrategy
alpha(double) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
alpha(double) - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
  Chainable configuration option.
ALPHA_0_KEY - Static variable in class org.apache.mahout.clustering.dirichlet.DirichletDriver
ALPHA_I - Static variable in class org.apache.mahout.classifier.naivebayes.trainer.NaiveBayesTrainer
ALPHA_OPTION - Static variable in class org.apache.mahout.clustering.dirichlet.DirichletDriver
ALPHA_SMOOTHING_FACTOR - Static variable in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesConstants
ALPHA_SMOOTHING_FACTOR - Static variable in class org.apache.mahout.classifier.naivebayes.BayesConstants
ANALYZER_CLASS - Static variable in class org.apache.mahout.vectorizer.DocumentProcessor
apply(String, int, Vector, AbstractVectorClassifier) - Method in class org.apache.mahout.classifier.sgd.DefaultGradient
  Provides a default gradient computation useful for logistic regression.
apply(String, int, Vector, AbstractVectorClassifier) - Method in interface org.apache.mahout.classifier.sgd.Gradient
apply(String, int, Vector, AbstractVectorClassifier) - Method in class org.apache.mahout.classifier.sgd.MixedGradient
apply(String, int, Vector, AbstractVectorClassifier) - Method in class org.apache.mahout.classifier.sgd.RankingGradient
apply(T, double[]) - Method in interface org.apache.mahout.ep.EvolutionaryProcess.Function
apply(double) - Method in class org.apache.mahout.ep.Mapping.Exponential
apply(double) - Method in class org.apache.mahout.ep.Mapping.Identity
apply(double) - Method in class org.apache.mahout.ep.Mapping.LogLimit
apply(double) - Method in class org.apache.mahout.ep.Mapping.SoftLimit
apply(double[]) - Method in interface org.apache.mahout.ep.ThreadedEvolutionaryProcess.Function
ArrayIterator<T> - Class in org.apache.mahout.common.iterator
  Simple, fast `Iterator` for an array.
ArrayIterator(T[]) - Constructor for class org.apache.mahout.common.iterator.ArrayIterator
  Creates an over an entire array.
asArray(JsonObject, String) - Static method in class org.apache.mahout.classifier.sgd.ModelSerializer
asFormatString(String[]) - Method in class org.apache.mahout.clustering.AbstractCluster
asFormatString() - Method in class org.apache.mahout.clustering.canopy.Canopy
asFormatString(String[]) - Method in interface org.apache.mahout.clustering.Cluster
  Produce a custom, human-friendly, printable representation of the Cluster.
asFormatString(String[]) - Method in class org.apache.mahout.clustering.dirichlet.DirichletCluster
asFormatString(String[]) - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
asFormatString(String[]) - Method in class org.apache.mahout.clustering.dirichlet.models.L1Model
asFormatString(String[]) - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModel
asFormatString(String[]) - Method in class org.apache.mahout.clustering.dirichlet.models.SampledNormalModel
asFormatString() - Method in class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
asFormatString() - Method in class org.apache.mahout.clustering.kmeans.Cluster
asFormatString() - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopy
asJsonString() - Method in class org.apache.mahout.clustering.AbstractCluster
asJsonString() - Method in interface org.apache.mahout.clustering.Cluster
  Produce a textual representation of the Cluster using Json format.
asJsonString() - Method in class org.apache.mahout.clustering.dirichlet.DirichletCluster
asJsonString() - Method in class org.apache.mahout.clustering.dirichlet.models.AbstractVectorModelDistribution
asJsonString() - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
asJsonString() - Method in class org.apache.mahout.clustering.dirichlet.models.L1Model
asJsonString() - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModel
asJsonString() - Method in interface org.apache.mahout.clustering.ModelDistribution
  Return a JSON string representing the receiver.
assign(HmmModel) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Assign the content of another HMM model to this one
assignToModel(VectorWritable) - Method in class org.apache.mahout.clustering.dirichlet.DirichletClusterer
  Assign the observation to one of the models based upon probabilities
asString(String) - Method in class org.apache.mahout.vectorizer.encoders.ConstantValueEncoder
asString(String) - Method in class org.apache.mahout.vectorizer.encoders.ContinuousValueEncoder
  Converts a value into a form that would help a human understand the internals of how the value is being interpreted.
asString(String) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
  Converts a value into a form that would help a human understand the internals of how the value is being interpreted.
asString(String) - Method in class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder
  Converts a value into a form that would help a human understand the internals of how the value is being interpreted.
asString(String) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder
  Converts a value into a form that would help a human understand the internals of how the value is being interpreted.
asString(String) - Method in class org.apache.mahout.vectorizer.encoders.WordValueEncoder
  Converts a value into a form that would help a human understand the internals of how the value is being interpreted.
AsymmetricSampledNormalDistribution - Class in org.apache.mahout.clustering.dirichlet.models
  An implementation of the ModelDistribution interface suitable for testing the DirichletCluster algorithm.
AsymmetricSampledNormalDistribution() - Constructor for class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalDistribution
AsymmetricSampledNormalDistribution(VectorWritable) - Constructor for class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalDistribution
AsymmetricSampledNormalModel - Class in org.apache.mahout.clustering.dirichlet.models
AsymmetricSampledNormalModel() - Constructor for class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
AsymmetricSampledNormalModel(int, Vector, Vector) - Constructor for class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
at(int) - Method in class org.apache.mahout.common.IntTuple
  Fetches the string at the given location
attribute(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
attribute(int) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
Auc - Class in org.apache.mahout.classifier.evaluation
  Computes AUC and a few other accuracy statistics without storing huge amounts of data.
Auc(double) - Constructor for class org.apache.mahout.classifier.evaluation.Auc
  Allocates a new data-structure for accumulating information about AUC and a few other accuracy measures.
Auc() - Constructor for class org.apache.mahout.classifier.evaluation.Auc
auc() - Method in class org.apache.mahout.classifier.evaluation.Auc
  Computes the AUC of points seen so far.
auc() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
  What is the AUC for the current best member of the population.
auc() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
auc() - Method in class org.apache.mahout.math.stats.GlobalOnlineAuc
auc() - Method in class org.apache.mahout.math.stats.GroupedOnlineAuc
auc() - Method in interface org.apache.mahout.math.stats.OnlineAuc
AverageAbsoluteDifferenceRecommenderEvaluator - Class in org.apache.mahout.cf.taste.impl.eval
  A `RecommenderEvaluator` which computes the average absolute difference between predicted and actual ratings for users.
AverageAbsoluteDifferenceRecommenderEvaluator() - Constructor for class org.apache.mahout.cf.taste.impl.eval.AverageAbsoluteDifferenceRecommenderEvaluator
AveragingPreferenceInferrer - Class in org.apache.mahout.cf.taste.impl.similarity
  Implementations of this interface compute an inferred preference for a user and an item that the user has not expressed any preference for.
AveragingPreferenceInferrer(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.AveragingPreferenceInferrer

## B

backwardAlgorithm(HmmModel, int[], boolean) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmAlgorithms
  External function to compute a matrix of beta factors
Bagging - Class in org.apache.mahout.df
  Builds a tree using bagging
Bagging(TreeBuilder, Data) - Constructor for class org.apache.mahout.df.Bagging
bagging(Random) - Method in class org.apache.mahout.df.data.Data
  if data has N cases, sample N cases at random -but with replacement.
bagging(Random, boolean[]) - Method in class org.apache.mahout.df.data.Data
  if data has N cases, sample N cases at random -but with replacement.
BayesAlgorithm - Class in org.apache.mahout.classifier.bayes.algorithm
  Class implementing the Naive Bayes Classifier Algorithm
BayesAlgorithm() - Constructor for class org.apache.mahout.classifier.bayes.algorithm.BayesAlgorithm
BayesClassifierDriver - Class in org.apache.mahout.classifier.bayes.mapreduce.bayes
  Create and run the Bayes Classifier
BayesClassifierMapper - Class in org.apache.mahout.classifier.bayes.mapreduce.bayes
  Reads the input train set(preprocessed using the `BayesFileFormatter`).
BayesClassifierMapper() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesClassifierMapper
BayesClassifierReducer - Class in org.apache.mahout.classifier.bayes.mapreduce.bayes
  Can also be used as a local Combiner.
BayesClassifierReducer() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesClassifierReducer
BayesConstants - Class in org.apache.mahout.classifier.bayes.mapreduce.common
  Class containing Constants used by Naive Bayes classifier classes
BayesConstants - Class in org.apache.mahout.classifier.naivebayes
  Class containing Constants used by Naive Bayes classifier classes
BayesDriver - Class in org.apache.mahout.classifier.bayes.mapreduce.bayes
  Create and run the Bayes Trainer.
BayesDriver() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesDriver
BayesFeatureCombiner - Class in org.apache.mahout.classifier.bayes.mapreduce.common
  Can also be used as a local Combiner.
BayesFeatureCombiner() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureCombiner
BayesFeatureDriver - Class in org.apache.mahout.classifier.bayes.mapreduce.common
  Create and run the Bayes Feature Reader Step.
BayesFeatureDriver() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureDriver
BayesFeatureMapper - Class in org.apache.mahout.classifier.bayes.mapreduce.common
  Reads the input train set(preprocessed using the `BayesFileFormatter`).
BayesFeatureMapper() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureMapper
BayesFeatureMapper.IteratorTokenStream - Class in org.apache.mahout.classifier.bayes.mapreduce.common
  Used to emit tokens from an input string array in the style of TokenStream
BayesFeatureMapper.IteratorTokenStream(Iterator<String>) - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureMapper.IteratorTokenStream
BayesFeatureOutputFormat - Class in org.apache.mahout.classifier.bayes.mapreduce.common
  This class extends the MultipleOutputFormat, allowing to write the output data to different output files in sequence file output format.
BayesFeatureOutputFormat() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureOutputFormat
BayesFeatureReducer - Class in org.apache.mahout.classifier.bayes.mapreduce.common
  Can also be used as a local Combiner.
BayesFeatureReducer() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureReducer
BayesFileFormatter - Class in org.apache.mahout.classifier
  Flatten a file into format that can be read by the Bayes M/R job.
BayesJob - Interface in org.apache.mahout.classifier.bayes.mapreduce.common
  Implementors of this interface provide a way for running bayes training jobs on a hadoop cluster.
BayesParameters - Class in org.apache.mahout.classifier.bayes.common
  BayesParameter used for passing parameters to the Map/Reduce Jobs parameters include gramSize,
BayesParameters() - Constructor for class org.apache.mahout.classifier.bayes.common.BayesParameters
BayesParameters(int) - Constructor for class org.apache.mahout.classifier.bayes.common.BayesParameters
  Deprecated. use `BayesParameters.BayesParameters()` and `BayesParameters.setGramSize(int)` instead
BayesTfIdfDriver - Class in org.apache.mahout.classifier.bayes.mapreduce.common
  The Driver which drives the Tf-Idf Generation
BayesTfIdfDriver() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.common.BayesTfIdfDriver
BayesTfIdfMapper - Class in org.apache.mahout.classifier.bayes.mapreduce.common
  Naive Bayes Tfidf Mapper.
BayesTfIdfMapper() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.common.BayesTfIdfMapper
BayesTfIdfOutputFormat - Class in org.apache.mahout.classifier.bayes.mapreduce.common
  This class extends the MultipleOutputFormat, allowing to write the output data to different output files in sequence file output format.
BayesTfIdfOutputFormat() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.common.BayesTfIdfOutputFormat
BayesTfIdfReducer - Class in org.apache.mahout.classifier.bayes.mapreduce.common
  Can also be used as a local Combiner beacuse only two values should be there inside the values
BayesTfIdfReducer() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.common.BayesTfIdfReducer
BayesThetaNormalizerDriver - Class in org.apache.mahout.classifier.bayes.mapreduce.bayes
  Create and run the Bayes Theta Normalization Step.
BayesThetaNormalizerDriver() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesThetaNormalizerDriver
BayesThetaNormalizerMapper - Class in org.apache.mahout.classifier.bayes.mapreduce.bayes
  Mapper for Calculating the ThetaNormalizer for a label in Naive Bayes Algorithm
BayesThetaNormalizerMapper() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesThetaNormalizerMapper
BayesThetaNormalizerReducer - Class in org.apache.mahout.classifier.bayes.mapreduce.bayes
  Can also be used as a local Combiner beacuse only two values should be there inside the values
BayesThetaNormalizerReducer() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesThetaNormalizerReducer
BayesWeightSummerDriver - Class in org.apache.mahout.classifier.bayes.mapreduce.common
  Create and run the Bayes Trainer.
BayesWeightSummerDriver() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.common.BayesWeightSummerDriver
BayesWeightSummerMapper - Class in org.apache.mahout.classifier.bayes.mapreduce.common
  Calculates weight sum for a unique label, and feature
BayesWeightSummerMapper() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.common.BayesWeightSummerMapper
BayesWeightSummerOutputFormat - Class in org.apache.mahout.classifier.bayes.mapreduce.common
  This class extends the MultipleOutputFormat, allowing to write the output data to different output files in sequence file output format.
BayesWeightSummerOutputFormat() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.common.BayesWeightSummerOutputFormat
BayesWeightSummerReducer - Class in org.apache.mahout.classifier.bayes.mapreduce.common
  Can also be used as a local Combiner
BayesWeightSummerReducer() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.common.BayesWeightSummerReducer
beta - Variable in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
BETA - Static variable in interface org.apache.mahout.clustering.spectral.eigencuts.EigencutsKeys
  B_0, or the user-specified minimum eigenflow half-life threshold for an eigenvector/eigenvalue pair to be considered.
BOOLEAN_DATA - Static variable in class org.apache.mahout.cf.taste.hadoop.item.RecommenderJob
BooleanItemPreferenceArray - Class in org.apache.mahout.cf.taste.impl.model
  Like `BooleanUserPreferenceArray` but stores preferences for one item (all item IDs the same) rather than one user.
BooleanItemPreferenceArray(int) - Constructor for class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
BooleanItemPreferenceArray(List<Preference>, boolean) - Constructor for class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
BooleanPreference - Class in org.apache.mahout.cf.taste.impl.model
  Encapsulates a simple boolean "preference" for an item whose value does not matter (is fixed at 1.0).
BooleanPreference(long, long) - Constructor for class org.apache.mahout.cf.taste.impl.model.BooleanPreference
BooleanUserPreferenceArray - Class in org.apache.mahout.cf.taste.impl.model
  Like `GenericUserPreferenceArray` but stores, conceptually, `BooleanPreference` objects which have no associated preference value.
BooleanUserPreferenceArray(int) - Constructor for class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
BooleanUserPreferenceArray(List<Preference>) - Constructor for class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
build(int, Random, PredictionCallback) - Method in class org.apache.mahout.df.Bagging
  Builds one tree
build(Random, Data) - Method in class org.apache.mahout.df.builder.DefaultTreeBuilder
build(Random, Data) - Method in interface org.apache.mahout.df.builder.TreeBuilder
  Builds a Decision tree using the training data
build(int, PredictionCallback) - Method in class org.apache.mahout.df.mapreduce.Builder
build(int, PredictionCallback) - Method in class org.apache.mahout.df.ref.SequentialBuilder
buildClusters(Configuration, Path, Path, DistanceMeasure, double, double, boolean) - Static method in class org.apache.mahout.clustering.canopy.CanopyDriver
  Build a directory of Canopy clusters from the input vectors and other arguments.
buildClusters(Configuration, Path, Path, ModelDistribution<VectorWritable>, int, int, double, boolean) - Static method in class org.apache.mahout.clustering.dirichlet.DirichletDriver
  Iterate over the input vectors to produce cluster directories for each iteration
buildClusters(Configuration, Path, Path, Path, DistanceMeasure, double, int, float, boolean) - Static method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver
  Iterate over the input vectors to produce cluster directories for each iteration
buildClusters(Configuration, Path, Path, Path, DistanceMeasure, int, String, boolean) - Static method in class org.apache.mahout.clustering.kmeans.KMeansDriver
  Iterate over the input vectors to produce cluster directories for each iteration
buildClusters(Configuration, Path, Path, DistanceMeasure, double, double, double, int, boolean) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyDriver
  Iterate over the input clusters to produce the next cluster directories for each iteration
buildDataModel(FastByIDMap<PreferenceArray>) - Method in interface org.apache.mahout.cf.taste.eval.DataModelBuilder
  Builds a `DataModel` implementation to be used in an evaluation, given training data.
Builder - Class in org.apache.mahout.df.mapreduce
  Base class for Mapred DecisionForest builders.
Builder(TreeBuilder, Path, Path, Long, Configuration) - Constructor for class org.apache.mahout.df.mapreduce.Builder
buildModel() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
buildPreference(ResultSet) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractBooleanPrefJDBCDataModel
buildPreference(ResultSet) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
buildRandom(Path, Path, int, DistanceMeasure) - Static method in class org.apache.mahout.clustering.kmeans.RandomSeedGenerator
buildRecommender(DataModel) - Method in interface org.apache.mahout.cf.taste.eval.RecommenderBuilder
  Builds a `Recommender` implementation to be evaluated, using the given `DataModel`.
buildRefreshed(Collection<Refreshable>) - Static method in class org.apache.mahout.cf.taste.impl.common.RefreshHelper
  Creates a new and empty `Collection` if the method parameter is `null`.
buildTransposeJobConf(Path, Path, int) - Static method in class org.apache.mahout.math.hadoop.TransposeJob
ByScoreLabelResultComparator - Class in org.apache.mahout.classifier.bayes.common
  Compare two results of classification and return the lowest valued one
ByScoreLabelResultComparator() - Constructor for class org.apache.mahout.classifier.bayes.common.ByScoreLabelResultComparator
bytesForString(String) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
ByValueRecommendedItemComparator - Class in org.apache.mahout.cf.taste.impl.recommender
  Defines a natural ordering from most-preferred item (highest value) to least-preferred.
ByValueRecommendedItemComparator() - Constructor for class org.apache.mahout.cf.taste.impl.recommender.ByValueRecommendedItemComparator

## C

Cache<K,V> - Class in org.apache.mahout.cf.taste.impl.common
  An efficient Map-like class which caches values for keys.
Cache(Retriever<? super K, ? extends V>) - Constructor for class org.apache.mahout.cf.taste.impl.common.Cache
  Creates a new cache based on the given `Retriever`.
Cache(Retriever<? super K, ? extends V>, int) - Constructor for class org.apache.mahout.cf.taste.impl.common.Cache
  Creates a new cache based on the given `Retriever` and with given maximum size.
Cache<K,V> - Interface in org.apache.mahout.common.cache
CachingContinuousValueEncoder - Class in org.apache.mahout.vectorizer.encoders
CachingContinuousValueEncoder(String, int) - Constructor for class org.apache.mahout.vectorizer.encoders.CachingContinuousValueEncoder
CachingItemSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
  Caches the results from an underlying `ItemSimilarity` implementation.
CachingItemSimilarity(ItemSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.CachingItemSimilarity
  Creates a `CachingItemSimilarity` on top of the given `ItemSimilarity`.
CachingItemSimilarity(ItemSimilarity, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.CachingItemSimilarity
  Creates a `CachingItemSimilarity` on top of the given `ItemSimilarity`.
CachingRecommender - Class in org.apache.mahout.cf.taste.impl.recommender
  A `Recommender` which caches the results from another `Recommender` in memory.
CachingRecommender(Recommender) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
CachingStaticWordValueEncoder - Class in org.apache.mahout.vectorizer.encoders
CachingStaticWordValueEncoder(String, int) - Constructor for class org.apache.mahout.vectorizer.encoders.CachingStaticWordValueEncoder
CachingTextValueEncoder - Class in org.apache.mahout.vectorizer.encoders
CachingTextValueEncoder(String, int) - Constructor for class org.apache.mahout.vectorizer.encoders.CachingTextValueEncoder
CachingUserNeighborhood - Class in org.apache.mahout.cf.taste.impl.neighborhood
  A caching wrapper around an underlying `UserNeighborhood` implementation.
CachingUserNeighborhood(UserNeighborhood, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.neighborhood.CachingUserNeighborhood
CachingUserSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
  Caches the results from an underlying `UserSimilarity` implementation.
CachingUserSimilarity(UserSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.CachingUserSimilarity
  Creates a `CachingUserSimilarity` on top of the given `UserSimilarity`.
CachingUserSimilarity(UserSimilarity, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.CachingUserSimilarity
  Creates a `CachingUserSimilarity` on top of the given `UserSimilarity`.
calculate(int, int, int, int) - Method in class org.apache.mahout.vectorizer.TF
calculate(int, int, int, int) - Method in class org.apache.mahout.vectorizer.TFIDF
calculate(int, int, int, int) - Method in interface org.apache.mahout.vectorizer.Weight
  Experimental
call() - Method in class org.apache.mahout.ep.ThreadedEvolutionaryProcess.EvalTask
  Computes a result, or throws an exception if unable to do so.
CandidateItemsStrategy - Interface in org.apache.mahout.cf.taste.recommender
  Used to retrieve all items that could possibly be recommended to the user
Canopy - Class in org.apache.mahout.clustering.canopy
  This class models a canopy as a center point, the number of points that are contained within it according to the application of some distance metric, and a point total which is the sum of all the points and is used to compute the centroid when needed.
Canopy() - Constructor for class org.apache.mahout.clustering.canopy.Canopy
  Used for deserializaztion as a writable
Canopy(Vector, int, DistanceMeasure) - Constructor for class org.apache.mahout.clustering.canopy.Canopy
  Create a new Canopy containing the given point and canopyId
CANOPY_PATH_KEY - Static variable in interface org.apache.mahout.clustering.canopy.CanopyConfigKeys
CanopyClusterer - Class in org.apache.mahout.clustering.canopy
CanopyClusterer(DistanceMeasure, double, double) - Constructor for class org.apache.mahout.clustering.canopy.CanopyClusterer
CanopyClusterer(Configuration) - Constructor for class org.apache.mahout.clustering.canopy.CanopyClusterer
CanopyConfigKeys - Interface in org.apache.mahout.clustering.canopy
canopyCovers(Canopy, Vector) - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer
  Return if the point is covered by the canopy
canopyCovers(Canopy, Vector) - Method in class org.apache.mahout.clustering.canopy.ClusterMapper
CanopyDriver - Class in org.apache.mahout.clustering.canopy
CanopyDriver() - Constructor for class org.apache.mahout.clustering.canopy.CanopyDriver
CanopyReducer - Class in org.apache.mahout.clustering.canopy
CanopyReducer() - Constructor for class org.apache.mahout.clustering.canopy.CanopyReducer
capacity() - Method in interface org.apache.mahout.common.cache.Cache
  returns the total capacity of the cache defined at contruction time
capacity() - Method in class org.apache.mahout.common.cache.HybridCache
capacity() - Method in class org.apache.mahout.common.cache.LeastKCache
capacity() - Method in class org.apache.mahout.common.cache.LFUCache
capacity() - Method in class org.apache.mahout.common.cache.LRUCache
capEstimate(float) - Method in class org.apache.mahout.cf.taste.impl.recommender.EstimatedPreferenceCapper
CaseAmplification - Class in org.apache.mahout.cf.taste.impl.transforms
  Applies "case amplification" to similarities.
CaseAmplification(double) - Constructor for class org.apache.mahout.cf.taste.impl.transforms.CaseAmplification
  Creates a transformation based on the given factor.
categoricalIg(Data, int) - Method in class org.apache.mahout.df.split.DefaultIgSplit
  Computes the Information Gain for a CATEGORICAL attribute
CategoricalNode - Class in org.apache.mahout.df.node
CategoricalNode() - Constructor for class org.apache.mahout.df.node.CategoricalNode
CategoricalNode(int, double[], Node[]) - Constructor for class org.apache.mahout.df.node.CategoricalNode
CBayesAlgorithm - Class in org.apache.mahout.classifier.bayes.algorithm
  Class implementing the Complementary Naive Bayes Classifier Algorithm
CBayesAlgorithm() - Constructor for class org.apache.mahout.classifier.bayes.algorithm.CBayesAlgorithm
CBayesDriver - Class in org.apache.mahout.classifier.bayes.mapreduce.cbayes
  Create and run the Bayes Trainer.
CBayesDriver() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.cbayes.CBayesDriver
CBayesThetaNormalizerDriver - Class in org.apache.mahout.classifier.bayes.mapreduce.cbayes
  Create and run the Bayes Trainer.
CBayesThetaNormalizerDriver() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.cbayes.CBayesThetaNormalizerDriver
CBayesThetaNormalizerMapper - Class in org.apache.mahout.classifier.bayes.mapreduce.cbayes
  Mapper for Calculating the ThetaNormalizer for a label in Naive Bayes Algorithm
CBayesThetaNormalizerMapper() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.cbayes.CBayesThetaNormalizerMapper
CBayesThetaNormalizerReducer - Class in org.apache.mahout.classifier.bayes.mapreduce.cbayes
  Can also be used as a local Combiner beacuse only two values should be there inside the values
CBayesThetaNormalizerReducer() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.cbayes.CBayesThetaNormalizerReducer
changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.CompactRunningAverage
changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.CompactRunningAverageAndStdDev
changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverage
changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage
changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
changeDatum(double) - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverage
changeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
changeDatum(double, double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
checkNotNullAndLog(String, Object) - Static method in class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent
checkNotNullAndLog(String, Object[]) - Static method in class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent
childAtIndex(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
childAtIndex(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
childCount(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
childCount() - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
childCount(int) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
childWithAttribute(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
childWithAttribute(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
CHOOSE_THRESHOLD - Static variable in class org.apache.mahout.cf.taste.impl.eval.GenericRecommenderIRStatsEvaluator
  Pass as "relevanceThreshold" argument to `GenericRecommenderIRStatsEvaluator.evaluate(RecommenderBuilder, DataModelBuilder, DataModel, IDRescorer, int, double, double)` to have it attempt to compute a reasonable threshold.
chooseRandomPoints(Iterable<Vector>, int) - Static method in class org.apache.mahout.clustering.kmeans.RandomSeedGenerator
CLASS_VECTORS - Static variable in class org.apache.mahout.classifier.naivebayes.trainer.NaiveBayesTrainer
Classifier - Class in org.apache.mahout.df.mapreduce
  Mapreduce implementation that classifies the Input data using a previousely built decision forest
Classifier(Path, Path, Path, Path, Configuration, boolean) - Constructor for class org.apache.mahout.df.mapreduce.Classifier
Classifier.CMapper - Class in org.apache.mahout.df.mapreduce
Classifier.CMapper() - Constructor for class org.apache.mahout.df.mapreduce.Classifier.CMapper
Classifier.CTextInputFormat - Class in org.apache.mahout.df.mapreduce
  TextInputFormat that does not split the input files.
Classifier.CTextInputFormat() - Constructor for class org.apache.mahout.df.mapreduce.Classifier.CTextInputFormat
CLASSIFIER_TUPLE - Static variable in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesConstants
ClassifierContext - Class in org.apache.mahout.classifier.bayes.model
  The Classifier Wrapper used for choosing the `Algorithm` and `Datastore`
ClassifierContext(Algorithm, Datastore) - Constructor for class org.apache.mahout.classifier.bayes.model.ClassifierContext
ClassifierResult - Class in org.apache.mahout.classifier
  Result of a Document Classification.
ClassifierResult() - Constructor for class org.apache.mahout.classifier.ClassifierResult
ClassifierResult(String, double) - Constructor for class org.apache.mahout.classifier.ClassifierResult
ClassifierResult(String) - Constructor for class org.apache.mahout.classifier.ClassifierResult
classify(Vector) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier
  Classify a vector returning a vector of numCategories-1 scores.
classify(Matrix) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier
  Returns n-1 probabilities, one for each category but the last, for each row of a matrix.
Classify - Class in org.apache.mahout.classifier
  Runs the Bayes classifier using the given model location(HDFS/HBASE)
classify(Vector) - Method in class org.apache.mahout.classifier.discriminative.LinearModel
  Classify a point to either belong to the class modeled by this linear model or not.
classify(Vector) - Method in class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier
classify(Vector) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
  Returns n-1 probabilities, one for each category but the 0-th.
classify(Vector) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
classify(Vector) - Method in class org.apache.mahout.clustering.VectorModelClassifier
classify(Data, PredictionCallback) - Method in class org.apache.mahout.df.DecisionForest
  Classifies the data and calls callback for each classification
classify(Random, Instance) - Method in class org.apache.mahout.df.DecisionForest
  predicts the label for the instance
classify(Instance) - Method in class org.apache.mahout.df.node.CategoricalNode
classify(Instance) - Method in class org.apache.mahout.df.node.Leaf
classify(Instance) - Method in class org.apache.mahout.df.node.MockLeaf
classify(Instance) - Method in class org.apache.mahout.df.node.Node
  predicts the label for the instance
classify(Instance) - Method in class org.apache.mahout.df.node.NumericalNode
classifyDocument(String[], Datastore, String) - Method in class org.apache.mahout.classifier.bayes.algorithm.BayesAlgorithm
classifyDocument(String[], Datastore, String, int) - Method in class org.apache.mahout.classifier.bayes.algorithm.BayesAlgorithm
classifyDocument(String[], Datastore, String) - Method in class org.apache.mahout.classifier.bayes.algorithm.CBayesAlgorithm
classifyDocument(String[], Datastore, String, int) - Method in class org.apache.mahout.classifier.bayes.algorithm.CBayesAlgorithm
classifyDocument(String[], Datastore, String) - Method in interface org.apache.mahout.classifier.bayes.interfaces.Algorithm
  Classify the document and return the Result
classifyDocument(String[], Datastore, String, int) - Method in interface org.apache.mahout.classifier.bayes.interfaces.Algorithm
  Classify the document and return the top `numResults`
classifyDocument(String[], String) - Method in class org.apache.mahout.classifier.bayes.model.ClassifierContext
  Classify the document and return the Result
classifyDocument(String[], String, int) - Method in class org.apache.mahout.classifier.bayes.model.ClassifierContext
  Classify the document and return the top `numResults`
classifyFull(Vector) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier
  Returns n probabilities, one for each category.
classifyFull(Vector, Vector) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier
  Returns n probabilities, one for each category into a pre-allocated vector.
classifyFull(Matrix) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier
  Returns n probabilities, one for each category, for each row of a matrix.
classifyNoLink(Vector) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier
  Classify a vector, but don't apply the inverse link function.
classifyNoLink(Vector) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
classifyNoLink(Vector) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
classifyParallel(BayesParameters) - Static method in class org.apache.mahout.classifier.bayes.TestClassifier
classifyScalar(Vector) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier
  Classifies a vector in the special case of a binary classifier where `classify(Vector)` would return a vector with only one element.
classifyScalar(Matrix) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier
  Returns a vector of probabilities of the first category, one for each row of a matrix.
classifyScalar(Vector) - Method in class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier
classifyScalar(Vector) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
  Returns a single scalar probability in the case where we have two categories.
classifyScalar(Vector) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
classifyScalar(Vector) - Method in class org.apache.mahout.clustering.VectorModelClassifier
classifyScalarNoLink(Vector) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
classifySequential(BayesParameters) - Static method in class org.apache.mahout.classifier.bayes.TestClassifier
ClassParameter - Class in org.apache.mahout.common.parameters
ClassParameter(String, String, Configuration, Class<?>, String) - Constructor for class org.apache.mahout.common.parameters.ClassParameter
CLEAN_EIGENVECTORS - Static variable in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob
cleanup(Mapper<IntWritable, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.trainer.NaiveBayesThetaComplementaryMapper
cleanup(Mapper<IntWritable, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.trainer.NaiveBayesThetaMapper
cleanup(Mapper<IntWritable, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.trainer.NaiveBayesWeightsMapper
cleanup(Mapper<WritableComparable<?>, MeanShiftCanopy, Text, MeanShiftCanopy>.Context) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyMapper
cleanup(Reducer<Text, MeanShiftCanopy, Text, MeanShiftCanopy>.Context) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyReducer
cleanup(Mapper<LongWritable, Text, TreeID, MapredOutput>.Context) - Method in class org.apache.mahout.df.mapreduce.partial.Step1Mapper
cleanup(Mapper<LongWritable, Text, TreeID, MapredOutput>.Context) - Method in class org.apache.mahout.df.mapreduce.partial.Step2Mapper
clear() - Method in class org.apache.mahout.cf.taste.impl.common.Cache
  Clears the cache.
clear() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
clear() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
clear() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
clear(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
  Clears cached recommendations for the given user.
clear() - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
  Clears all cached recommendations.
clear() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
clearConditional() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
clearTempPrefs() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
clone() - Method in class org.apache.mahout.cf.taste.hadoop.EntityCountWritable
clone() - Method in class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable
clone() - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
clone() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
clone() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
clone() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
clone() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
clone() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
clone() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
clone() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
clone() - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
clone() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Get a copy of this model
clone() - Method in class org.apache.mahout.common.IntPairWritable
clone() - Method in class org.apache.mahout.df.data.Data
clone() - Method in class org.apache.mahout.df.mapreduce.MapredOutput
clone() - Method in class org.apache.mahout.df.mapreduce.partial.Step0Job.Step0Output
clone() - Method in class org.apache.mahout.df.mapreduce.partial.TreeID
clone() - Method in class org.apache.mahout.math.VarIntWritable
clone() - Method in class org.apache.mahout.math.VarLongWritable
close() - Method in class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesThetaNormalizerReducer
close() - Method in class org.apache.mahout.classifier.bayes.mapreduce.cbayes.CBayesThetaNormalizerReducer
close() - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesTfIdfReducer
close() - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesWeightSummerReducer
close() - Method in interface org.apache.mahout.classifier.OnlineLearner
  Prepares the classifier for classification and deallocates any temporary data structures.
close() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
close() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
close() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
close() - Method in class org.apache.mahout.common.FileLineIterator
close() - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader
close() - Method in class org.apache.mahout.ep.EvolutionaryProcess
close() - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesSquaredMapper
closelyBound(MeanShiftCanopy, Vector) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyClusterer
  Return if the point is closely covered by the canopy
Cluster - Interface in org.apache.mahout.clustering
  Implementations of this interface have a printable representation and certain attributes that are common across all clustering implementations
cluster(int) - Method in class org.apache.mahout.clustering.dirichlet.DirichletClusterer
  Iterate over the sample data, obtaining cluster samples periodically and returning them.
Cluster - Class in org.apache.mahout.clustering.kmeans
Cluster() - Constructor for class org.apache.mahout.clustering.kmeans.Cluster
  For (de)serialization as a Writable
Cluster(Vector, int, DistanceMeasure) - Constructor for class org.apache.mahout.clustering.kmeans.Cluster
  Construct a new cluster with the given point as its center
CLUSTER_CONVERGENCE_KEY - Static variable in interface org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansConfigKeys
CLUSTER_CONVERGENCE_KEY - Static variable in interface org.apache.mahout.clustering.kmeans.KMeansConfigKeys
  Configuration key for convergence threshold.
CLUSTER_CONVERGENCE_KEY - Static variable in interface org.apache.mahout.clustering.meanshift.MeanShiftCanopyConfigKeys
CLUSTER_PATH_KEY - Static variable in interface org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansConfigKeys
CLUSTER_PATH_KEY - Static variable in interface org.apache.mahout.clustering.kmeans.KMeansConfigKeys
  Configuration key for iteration cluster path
clusterData(Configuration, Path, Path, Path, DistanceMeasure, double, double, boolean) - Static method in class org.apache.mahout.clustering.canopy.CanopyDriver
clusterData(Configuration, Path, Path, Path, boolean, double, boolean) - Static method in class org.apache.mahout.clustering.dirichlet.DirichletDriver
  Run the job using supplied arguments
clusterData(Path, Path, Path, DistanceMeasure, double, float, boolean, double, boolean) - Static method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver
  Run the job using supplied arguments
clusterData(Configuration, Path, Path, Path, DistanceMeasure, String, boolean) - Static method in class org.apache.mahout.clustering.kmeans.KMeansDriver
  Run the job using supplied arguments
clusterData(Configuration, Path, Path, Path, boolean) - Static method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyDriver
  Run the job using supplied arguments
CLUSTERED_POINTS_DIR - Static variable in interface org.apache.mahout.clustering.Cluster
CLUSTERING_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
clusteringOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for clustering specification.
ClusteringRecommender - Interface in org.apache.mahout.cf.taste.recommender
  Interface implemented by "clustering" recommenders.
ClusterMapper - Class in org.apache.mahout.clustering.canopy
ClusterMapper() - Constructor for class org.apache.mahout.clustering.canopy.ClusterMapper
ClusterObservations - Class in org.apache.mahout.clustering
ClusterObservations(double, Vector, Vector) - Constructor for class org.apache.mahout.clustering.ClusterObservations
ClusterObservations(int, double, Vector, Vector) - Constructor for class org.apache.mahout.clustering.ClusterObservations
ClusterObservations() - Constructor for class org.apache.mahout.clustering.ClusterObservations
clusterPoints(List<VectorWritable>, ModelDistribution<VectorWritable>, double, int, int, int, int) - Static method in class org.apache.mahout.clustering.dirichlet.DirichletClusterer
  Create a new instance on the sample data with the given additional parameters
clusterPoints(Iterable<Vector>, List<SoftCluster>, DistanceMeasure, double, double, int) - Static method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
  This is the reference k-means implementation.
clusterPoints(Iterable<Vector>, List<Cluster>, DistanceMeasure, int, double) - Static method in class org.apache.mahout.clustering.kmeans.KMeansClusterer
  This is the reference k-means implementation.
clusterPoints(Iterable<Vector>, DistanceMeasure, double, double, double, int) - Static method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyClusterer
  This is the reference mean-shift implementation.
CLUSTERS_DIR - Static variable in interface org.apache.mahout.clustering.Cluster
CLUSTERS_IN_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
ClusterSimilarity - Interface in org.apache.mahout.cf.taste.impl.recommender
  Returns the "similarity" between two clusters of users, according to some definition of similarity.
clustersInOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for clusters input directory specification.
collapse(String, Analyzer, File, Charset, File) - Static method in class org.apache.mahout.classifier.BayesFileFormatter
  Collapse all the files in the inputDir into a single file in the proper Bayes format, 1 document per line
collect(K, V) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.ContextWriteOutputCollector
collect(Integer, List<Pair<List<Integer>, Long>>) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.integer.IntegerStringOutputConverter
collect(K, V) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.SequenceFileOutputCollector
collect(String, List<Pair<List<String>, Long>>) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.string.StringOutputConverter
collect(Integer, FrequentPatternMaxHeap) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.TopKPatternsOutputConverter
CollocCombiner - Class in org.apache.mahout.vectorizer.collocations.llr
  Combiner for pass1 of the CollocationDriver.
CollocCombiner() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.CollocCombiner
CollocDriver - Class in org.apache.mahout.vectorizer.collocations.llr
  Driver for LLR Collocation discovery mapreduce job
CollocMapper - Class in org.apache.mahout.vectorizer.collocations.llr
  Pass 1 of the Collocation discovery job which generated ngrams and emits ngrams an their component n-1grams.
CollocMapper() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.CollocMapper
CollocMapper.Count - Enum in org.apache.mahout.vectorizer.collocations.llr
CollocMapper.IteratorTokenStream - Class in org.apache.mahout.vectorizer.collocations.llr
  Used to emit tokens from an input string array in the style of TokenStream
CollocMapper.IteratorTokenStream(Iterator<String>) - Constructor for class org.apache.mahout.vectorizer.collocations.llr.CollocMapper.IteratorTokenStream
CollocReducer - Class in org.apache.mahout.vectorizer.collocations.llr
  Reducer for Pass 1 of the collocation identification job.
CollocReducer() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.CollocReducer
CollocReducer.Skipped - Enum in org.apache.mahout.vectorizer.collocations.llr
CommandLineUtil - Class in org.apache.mahout.common
CompactRunningAverage - Class in org.apache.mahout.cf.taste.impl.common
  Like `FullRunningAverage` but uses smaller values (short, float) to conserve memory.
CompactRunningAverage() - Constructor for class org.apache.mahout.cf.taste.impl.common.CompactRunningAverage
CompactRunningAverageAndStdDev - Class in org.apache.mahout.cf.taste.impl.common
  Extends `CompactRunningAverage` to add a running standard deviation computation.
CompactRunningAverageAndStdDev() - Constructor for class org.apache.mahout.cf.taste.impl.common.CompactRunningAverageAndStdDev
compare(WritableComparable, WritableComparable) - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.CountUsersKeyWritable.CountUsersGroupComparator
compare(RecommendedItem, RecommendedItem) - Method in class org.apache.mahout.cf.taste.impl.recommender.ByValueRecommendedItemComparator
compare(ClassifierResult, ClassifierResult) - Method in class org.apache.mahout.classifier.bayes.common.ByScoreLabelResultComparator
compare(WritableComparable, WritableComparable) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.FeatureLabelComparator
compare(byte[], int, int, byte[], int, int) - Method in class org.apache.mahout.common.IntPairWritable.Comparator
compare(byte[], int, int, byte[], int, int) - Method in class org.apache.mahout.common.IntPairWritable.FirstGroupingComparator
compare(Object, Object) - Method in class org.apache.mahout.common.IntPairWritable.FirstGroupingComparator
compare(WritableComparable, WritableComparable) - Method in class org.apache.mahout.math.hadoop.similarity.SimilarityMatrixEntryKey.SimilarityMatrixEntryKeyComparator
compare(long, long) - Static method in class org.apache.mahout.math.hadoop.similarity.SimilarityMatrixEntryKey.SimilarityMatrixEntryKeyComparator
compare(double, double) - Static method in class org.apache.mahout.math.hadoop.similarity.SimilarityMatrixEntryKey.SimilarityMatrixEntryKeyComparator
compare(WritableComparable, WritableComparable) - Method in class org.apache.mahout.math.hadoop.similarity.SimilarityMatrixEntryKey.SimilarityMatrixEntryKeyGroupingComparator
compare(int, int) - Static method in class org.apache.mahout.math.hadoop.similarity.WeightedRowPair
compareTo(EntityEntityWritable) - Method in class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable
compareTo(CountUsersKeyWritable) - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.CountUsersKeyWritable
compareTo(SimilarUser) - Method in class org.apache.mahout.cf.taste.impl.recommender.SimilarUser
  Defines an ordering from most similar to least similar.
compareTo(GenericItemSimilarity.ItemItemSimilarity) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
  Defines an ordering from highest similarity to lowest.
compareTo(GenericUserSimilarity.UserUserSimilarity) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
  Defines an ordering from highest similarity to lowest.
compareTo(ModelDissector.Weight) - Method in class org.apache.mahout.classifier.sgd.ModelDissector.Weight
compareTo(IntegerTuple) - Method in class org.apache.mahout.common.IntegerTuple
compareTo(BinaryComparable) - Method in class org.apache.mahout.common.IntPairWritable
compareTo(IntPairWritable.Frequency) - Method in class org.apache.mahout.common.IntPairWritable.Frequency
compareTo(IntTuple) - Method in class org.apache.mahout.common.IntTuple
compareTo(LongPair) - Method in class org.apache.mahout.common.LongPair
compareTo(StringTuple) - Method in class org.apache.mahout.common.StringTuple
compareTo(Step0Job.Step0Output) - Method in class org.apache.mahout.df.mapreduce.partial.Step0Job.Step0Output
compareTo(State<T>) - Method in class org.apache.mahout.ep.State
  Natural order is to sort in descending order of score.
compareTo(Pattern) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
compareTo(DistributedRowMatrix.MatrixEntryWritable) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
compareTo(SimilarityMatrixEntryKey) - Method in class org.apache.mahout.math.hadoop.similarity.SimilarityMatrixEntryKey
compareTo(WeightedRowPair) - Method in class org.apache.mahout.math.hadoop.similarity.WeightedRowPair
compareTo(VarIntWritable) - Method in class org.apache.mahout.math.VarIntWritable
compareTo(VarLongWritable) - Method in class org.apache.mahout.math.VarLongWritable
ComplementaryNaiveBayesClassifier - Class in org.apache.mahout.classifier.naivebayes
  Class implementing the Naive Bayes Classifier Algorithm
ComplementaryNaiveBayesClassifier(NaiveBayesModel) - Constructor for class org.apache.mahout.classifier.naivebayes.ComplementaryNaiveBayesClassifier
CompositeParameter<T extends Parametered> - Class in org.apache.mahout.common.parameters
  A placeholder for some sort of class with more parameters.
CompositeParameter(Class<T>, String, String, Configuration, T, String) - Constructor for class org.apache.mahout.common.parameters.CompositeParameter
compute() - Method in interface org.apache.mahout.clustering.GaussianAccumulator
  Compute the mean, variance and standard deviation
compute() - Method in class org.apache.mahout.clustering.OnlineGaussianAccumulator
compute() - Method in class org.apache.mahout.clustering.RunningSumsGaussianAccumulator
computeCentroid() - Method in class org.apache.mahout.clustering.AbstractCluster
  Compute the centroid by averaging the pointTotals
computeConvergence(Cluster) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
  Return if the cluster is converged by comparing its center and centroid.
computeConvergence(DistanceMeasure, double) - Method in class org.apache.mahout.clustering.kmeans.Cluster
  Return if the cluster is converged by comparing its center and centroid.
computeConvergence(Cluster) - Method in class org.apache.mahout.clustering.kmeans.KMeansClusterer
computeFrequencies(Data, int, double[]) - Method in class org.apache.mahout.df.split.OptIgSplit
computeParameters() - Method in class org.apache.mahout.clustering.AbstractCluster
computeParameters() - Method in class org.apache.mahout.clustering.dirichlet.DirichletCluster
computeParameters() - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
computeParameters() - Method in class org.apache.mahout.clustering.dirichlet.models.L1Model
computeParameters() - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModel
computeParameters() - Method in interface org.apache.mahout.clustering.Model
  Compute a new set of posterior parameters based upon the Observations that have been observed since my creation
computePi(List<SoftCluster>, List<Double>) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
computePredictions(Random) - Method in class org.apache.mahout.df.callback.ForestPredictions
  compute the prediction for each instance.
computeProbWeight(double, Iterable<Double>) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
  Computes the probability of a point belonging to a cluster
computeSplit(Data, int) - Method in class org.apache.mahout.df.split.DefaultIgSplit
computeSplit(Data, int) - Method in class org.apache.mahout.df.split.IgSplit
  Computes the best split for the given attribute
computeSplit(Data, int) - Method in class org.apache.mahout.df.split.OptIgSplit
Condition - Class in org.apache.mahout.df.data.conditions
  Condition on Instance
Condition() - Constructor for class org.apache.mahout.df.data.conditions.Condition
conditional(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
conf(Parametered) - Static method in class org.apache.mahout.common.parameters.Parametered.ParameteredGeneralizations
config(DistanceMeasure, double, double) - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer
  Configure the Canopy for unit tests
config(Collection<Canopy>) - Method in class org.apache.mahout.clustering.canopy.ClusterMapper
  Configure the mapper by providing its canopies.
configure(JobConf) - Method in class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesClassifierMapper
configure(JobConf) - Method in class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesThetaNormalizerMapper
configure(JobConf) - Method in class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesThetaNormalizerReducer
configure(JobConf) - Method in class org.apache.mahout.classifier.bayes.mapreduce.cbayes.CBayesThetaNormalizerMapper
configure(JobConf) - Method in class org.apache.mahout.classifier.bayes.mapreduce.cbayes.CBayesThetaNormalizerReducer
configure(JobConf) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureMapper
configure(JobConf) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureReducer
configure(JobConf) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesTfIdfMapper
configure(JobConf) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesTfIdfReducer
configure(JobConf) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesWeightSummerReducer
configure(JobConf) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.FeaturePartitioner
configure(Configuration) - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer
  Configure the Canopy and its distance measure
configure(LDAState) - Method in class org.apache.mahout.clustering.lda.LDAMapper
configure(Configuration) - Method in class org.apache.mahout.clustering.lda.LDAMapper
configure(Configuration) - Method in class org.apache.mahout.common.distance.CosineDistanceMeasure
configure(Configuration) - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
configure(Configuration) - Method in class org.apache.mahout.common.distance.ManhattanDistanceMeasure
configure(Configuration) - Method in class org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure
configure(Configuration) - Method in class org.apache.mahout.common.distance.WeightedDistanceMeasure
configure(Configuration) - Method in class org.apache.mahout.common.parameters.AbstractParameter
configure(Configuration) - Method in class org.apache.mahout.common.parameters.CompositeParameter
configure(Configuration) - Method in interface org.apache.mahout.common.parameters.Parametered
configure(boolean, boolean, TreeBuilder, Dataset) - Method in class org.apache.mahout.df.mapreduce.MapredMapper
  Useful for testing
configure(Long, int, int, int) - Method in class org.apache.mahout.df.mapreduce.partial.Step1Mapper
  Useful when testing
configure(int, Dataset, TreeID[], Node[], int) - Method in class org.apache.mahout.df.mapreduce.partial.Step2Mapper
  Useful for testing.
configure(JobConf) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
configure(JobConf) - Method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob.MatrixMultiplyMapper
configure(JobConf) - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesSquaredMapper
configure(JobConf) - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.VectorSummingReducer
configure(JobConf) - Method in class org.apache.mahout.math.hadoop.TransposeJob.TransposeReducer
configure(Configuration) - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKeyPartitioner
configureJob(Job, int, boolean) - Method in class org.apache.mahout.df.mapreduce.Builder
  Used by the inheriting classes to configure the job
configureJob(Job, int, boolean) - Method in class org.apache.mahout.df.mapreduce.inmem.InMemBuilder
configureJob(Job, int, boolean) - Method in class org.apache.mahout.df.mapreduce.partial.PartialBuilder
configureParameters(Parametered, Configuration) - Static method in class org.apache.mahout.common.parameters.Parametered.ParameteredGeneralizations
configureParameters(String, Parametered, Configuration) - Static method in class org.apache.mahout.common.parameters.Parametered.ParameteredGeneralizations
  Calls `Parametered.createParameters(String,org.apache.hadoop.conf.Configuration)` on parameter parmetered, and then recur down its composite tree to invoke `Parametered.createParameters(String,org.apache.hadoop.conf.Configuration)` and `Parametered.configure(org.apache.hadoop.conf.Configuration)` on each composite part.
confusion() - Method in class org.apache.mahout.classifier.evaluation.Auc
  Returns the confusion matrix for the classifier supposing that we were to use a particular threshold.
ConfusionMatrix - Class in org.apache.mahout.classifier
  The ConfusionMatrix Class stores the result of Classification of a Test Dataset.
ConfusionMatrix(Collection<String>, String) - Constructor for class org.apache.mahout.classifier.ConfusionMatrix
ConjugateGradientOptimizer - Class in org.apache.mahout.cf.taste.impl.recommender.knn
ConjugateGradientOptimizer() - Constructor for class org.apache.mahout.cf.taste.impl.recommender.knn.ConjugateGradientOptimizer
ConnectionPoolDataSource - Class in org.apache.mahout.cf.taste.impl.model.jdbc
  A wrapper `DataSource` which pools connections.
ConnectionPoolDataSource(DataSource) - Constructor for class org.apache.mahout.cf.taste.impl.model.jdbc.ConnectionPoolDataSource
ConstantValueEncoder - Class in org.apache.mahout.vectorizer.encoders
  An encoder that does the standard thing for a virtual bias term.
ConstantValueEncoder(String) - Constructor for class org.apache.mahout.vectorizer.encoders.ConstantValueEncoder
contains(long) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
contains(K) - Method in interface org.apache.mahout.common.cache.Cache
  returns true if the Cache contains the key
contains(K) - Method in class org.apache.mahout.common.cache.HybridCache
contains(K) - Method in class org.apache.mahout.common.cache.LeastKCache
contains(K) - Method in class org.apache.mahout.common.cache.LFUCache
contains(K) - Method in class org.apache.mahout.common.cache.LRUCache
contains(Instance) - Method in class org.apache.mahout.df.data.Data
containsKey(long) - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
containsKey(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
containsValue(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
containsValue(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
ContextStatusUpdater<IK extends org.apache.hadoop.io.Writable,IV extends org.apache.hadoop.io.Writable,K extends org.apache.hadoop.io.Writable,V extends org.apache.hadoop.io.Writable> - Class in org.apache.mahout.fpm.pfpgrowth.convertors
  Updates the Context object of a `Reducer` class
ContextStatusUpdater(Reducer<IK, IV, K, V>.Context) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.ContextStatusUpdater
ContextWriteOutputCollector<IK extends org.apache.hadoop.io.Writable,IV extends org.apache.hadoop.io.Writable,K extends org.apache.hadoop.io.Writable,V extends org.apache.hadoop.io.Writable> - Class in org.apache.mahout.fpm.pfpgrowth.convertors
  An output collector for `Reducer` for PFPGrowth which updates the status as well as writes the patterns generated by the algorithm
ContextWriteOutputCollector(Reducer<IK, IV, K, V>.Context) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.ContextWriteOutputCollector
CONTINUOUS_VALUE_HASH_SEED - Static variable in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
ContinuousValueEncoder - Class in org.apache.mahout.vectorizer.encoders
  Continuous values are stored in fixed randomized location in the feature vector.
ContinuousValueEncoder(String) - Constructor for class org.apache.mahout.vectorizer.encoders.ContinuousValueEncoder
CONTROL_PATH_KEY - Static variable in interface org.apache.mahout.clustering.meanshift.MeanShiftCanopyConfigKeys
CONVERGENCE_DELTA_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
convergenceOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for convergence delta specification.
convert(int, String) - Method in class org.apache.mahout.df.data.DataConverter
Cooccurrence - Class in org.apache.mahout.math.hadoop.similarity
  a pair of entries in the same column of a row vector where each of the entries' values is != NaN
Cooccurrence() - Constructor for class org.apache.mahout.math.hadoop.similarity.Cooccurrence
Cooccurrence(int, double, double) - Constructor for class org.apache.mahout.math.hadoop.similarity.Cooccurrence
copy() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
copy() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
copy() - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
copy() - Method in interface org.apache.mahout.ep.Payload
copy() - Method in class org.apache.mahout.ep.State
  Deep copies a state, useful in mutation.
copyFrom(AbstractOnlineLogisticRegression) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
copyFrom(OnlineLogisticRegression) - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
CosineDistanceMeasure - Class in org.apache.mahout.common.distance
  This class implements a cosine distance metric by dividing the dot product of two vectors by the product of their lengths
CosineDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.CosineDistanceMeasure
count() - Method in class org.apache.mahout.clustering.AbstractCluster
count() - Method in class org.apache.mahout.clustering.dirichlet.DirichletCluster
count() - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
count() - Method in class org.apache.mahout.clustering.dirichlet.models.L1Model
count() - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModel
count() - Method in interface org.apache.mahout.clustering.Model
  Return the number of observations that have been observed by this model
count(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
count() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
count(int) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
countAttributes(Dataset.Attribute[]) - Static method in class org.apache.mahout.df.data.Dataset
  Counts the number of attributes, except IGNORED and LABEL
countElements(Iterable<?>) - Static method in class org.apache.mahout.math.hadoop.similarity.vector.AbstractDistributedVectorSimilarity
  computes the number of elements in the `Iterable`
countElements(Iterator<?>) - Static method in class org.apache.mahout.math.hadoop.similarity.vector.AbstractDistributedVectorSimilarity
  computes the number of elements in the `Iterator`
countLabels(int[]) - Method in class org.apache.mahout.df.data.Data
  Counts the number of occurrences of each label value
CountUsersKeyWritable - Class in org.apache.mahout.cf.taste.hadoop.similarity.item
  a writable key that is used by `CountUsersMapper` and `CountUsersReducer` to count unique users by sending all userIDs to the same reducer and have them sorted in ascending order so that there's no buffering necessary when counting them
CountUsersKeyWritable() - Constructor for class org.apache.mahout.cf.taste.hadoop.similarity.item.CountUsersKeyWritable
CountUsersKeyWritable(long) - Constructor for class org.apache.mahout.cf.taste.hadoop.similarity.item.CountUsersKeyWritable
CountUsersKeyWritable.CountUsersGroupComparator - Class in org.apache.mahout.cf.taste.hadoop.similarity.item
  all userIDs go to the same reducer
CountUsersKeyWritable.CountUsersGroupComparator() - Constructor for class org.apache.mahout.cf.taste.hadoop.similarity.item.CountUsersKeyWritable.CountUsersGroupComparator
CountUsersKeyWritable.CountUsersPartitioner - Class in org.apache.mahout.cf.taste.hadoop.similarity.item
  all userIDs go to the same partition
CountUsersKeyWritable.CountUsersPartitioner() - Constructor for class org.apache.mahout.cf.taste.hadoop.similarity.item.CountUsersKeyWritable.CountUsersPartitioner
CountUsersMapper - Class in org.apache.mahout.cf.taste.hadoop.similarity.item
  Maps out the userIDs in a way that we can use a secondary sort on them
CountUsersMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.similarity.item.CountUsersMapper
CountUsersReducer - Class in org.apache.mahout.cf.taste.hadoop.similarity.item
  counts all unique users, we ensure that we see userIDs sorted in ascending order via secondary sort, so we don't have to buffer all of them
CountUsersReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.similarity.item.CountUsersReducer
createCanopies(List<Vector>, DistanceMeasure, double, double) - Static method in class org.apache.mahout.clustering.canopy.CanopyClusterer
  Iterate through the points, adding new canopies.
createCanopyFromVectors(Configuration, Path, Path, DistanceMeasure, boolean) - Static method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyDriver
  Convert input vectors to MeanShiftCanopies for further processing
createConditionalNode(int, long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
createHashFunctions(HashFactory.HashType, int) - Static method in class org.apache.mahout.clustering.minhash.HashFactory
createLabelMapFile(List<String>, Configuration, Path) - Static method in class org.apache.mahout.classifier.naivebayes.trainer.NaiveBayesTrainer
  Write the list of labels into a map file
createMatrixMultiplyJobConf(Path, Path, Path, int) - Static method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob
createModelDistribution(String, String, String, int) - Static method in class org.apache.mahout.clustering.dirichlet.DirichletDriver
  Create an instance of AbstractVectorModelDistribution from the given command line arguments
createNode(int, int, long) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
createParameters(String, Configuration) - Method in class org.apache.mahout.common.distance.CosineDistanceMeasure
createParameters(String, Configuration) - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
createParameters(String, Configuration) - Method in class org.apache.mahout.common.distance.ManhattanDistanceMeasure
createParameters(String, Configuration) - Method in class org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure
createParameters(String, Configuration) - Method in class org.apache.mahout.common.distance.WeightedDistanceMeasure
createParameters(String, Configuration) - Method in class org.apache.mahout.common.parameters.AbstractParameter
createParameters(String, Configuration) - Method in class org.apache.mahout.common.parameters.CompositeParameter
createParameters(String, Configuration) - Method in interface org.apache.mahout.common.parameters.Parametered
  EXPERT: consumers should never have to call this method.
createRecordReader(InputSplit, TaskAttemptContext) - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat
createRootNode() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
createTermFrequencyVectors(Path, Path, Configuration, int, int, float, float, boolean, int, int, boolean, boolean) - Static method in class org.apache.mahout.vectorizer.DictionaryVectorizer
  Create Term Frequency (Tf) Vectors from the input set of documents in `SequenceFile` format.
createTimesJobConf(Vector, int, Path, Path) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
createTimesSquaredJobConf(Vector, Path, Path) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
createTimesSquaredJobConf(Vector, Path, Path, Class<? extends TimesSquaredJob.TimesSquaredMapper>, Class<? extends TimesSquaredJob.VectorSummingReducer>) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
createTimesSquaredJobConf(Vector, int, Path, Path, Class<? extends TimesSquaredJob.TimesSquaredMapper>, Class<? extends TimesSquaredJob.VectorSummingReducer>) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
CrossFoldLearner - Class in org.apache.mahout.classifier.sgd
  Does cross-fold validation of log-likelihood and AUC on several online logistic regression models.
CrossFoldLearner() - Constructor for class org.apache.mahout.classifier.sgd.CrossFoldLearner
CrossFoldLearner(int, int, int, PriorFunction) - Constructor for class org.apache.mahout.classifier.sgd.CrossFoldLearner
CsvRecordFactory - Class in org.apache.mahout.classifier.sgd
  Converts csv data lines to vectors.
CsvRecordFactory(String, Map<String, String>) - Constructor for class org.apache.mahout.classifier.sgd.CsvRecordFactory
  Construct a parser for CSV lines that encodes the parsed data in vector form.
currentLearningRate() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
currentLearningRate() - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
CUTMATRIX_PATH - Static variable in interface org.apache.mahout.clustering.spectral.eigencuts.EigencutsKeys
  Refers to the Path to the SequenceFile representing the cut matrix

## D

Data - Class in org.apache.mahout.df.data
  Holds a list of vectors and their corresponding Dataset.
Data(Dataset, List<Instance>) - Constructor for class org.apache.mahout.df.data.Data
DATA_SOURCE_KEY - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
DataConverter - Class in org.apache.mahout.df.data
  Converts String to Instance using a Dataset
DataConverter(Dataset) - Constructor for class org.apache.mahout.df.data.DataConverter
DataLoader - Class in org.apache.mahout.df.data
  Converts the input data to a Vector Array using the information given by the Dataset.
  Generates for each line a Vector that contains :
  double parsed value for NUMERICAL attributes int value for CATEGORICAL and LABEL attributes
  adds an IGNORED first attribute that will contain a unique id for each instance, which is the line number of the instance in the input data
DataModel - Interface in org.apache.mahout.cf.taste.model
  Implementations represent a repository of information about users and their associated `Preference`s for items.
DataModelBuilder - Interface in org.apache.mahout.cf.taste.eval
  Implementations of this inner interface are simple helper classes which create a `DataModel` to be used while evaluating a `Recommender`.
Dataset - Class in org.apache.mahout.df.data
  Contains informations about the attributes.
Dataset(Dataset.Attribute[], List<String>[], int) - Constructor for class org.apache.mahout.df.data.Dataset
  Should only be called by a DataLoader
Dataset.Attribute - Enum in org.apache.mahout.df.data
  Attributes type
Datastore - Interface in org.apache.mahout.classifier.bayes.interfaces
  The Datastore interface for the `Algorithm` to use
DataUtils - Class in org.apache.mahout.df.data
  Helper methods that deals with data lists and arrays of values
DEBUG_OUTPUT - Static variable in class org.apache.mahout.common.commandline.MinhashOptionCreator
debugOutputOption() - Static method in class org.apache.mahout.common.commandline.MinhashOptionCreator
dec(int[], int[]) - Static method in class org.apache.mahout.df.data.DataUtils
  foreach i : array1[i] -= array2[i]
decayExponent(double) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
decayExponent(double) - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
DecisionForest - Class in org.apache.mahout.df
  Represents a forest of decision trees.
DecisionForest() - Constructor for class org.apache.mahout.df.DecisionForest
DecisionForest(List<Node>) - Constructor for class org.apache.mahout.df.DecisionForest
decode(HmmModel, int[], boolean) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmEvaluator
  Returns the most likely sequence of hidden states for the given model and observation
decodeStateSequence(HmmModel, int[], boolean, String) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmUtils
  Decodes a given collection of state IDs into the corresponding state names registered in a given model.
decodeType(byte[], int) - Static method in class org.apache.mahout.vectorizer.collocations.llr.Gram
DEFAULT_AVERAGE_DIFF_COLUMN - Static variable in class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.AbstractJDBCDiffStorage
DEFAULT_CLUSTERED_POINTS_DIRECTORY - Static variable in class org.apache.mahout.clustering.canopy.CanopyDriver
DEFAULT_COUNT_COLUMN - Static variable in class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.AbstractJDBCDiffStorage
DEFAULT_DATASOURCE_NAME - Static variable in class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent
DEFAULT_DIFF_TABLE - Static variable in class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.AbstractJDBCDiffStorage
DEFAULT_EMIT_UNIGRAMS - Static variable in class org.apache.mahout.vectorizer.collocations.llr.CollocDriver
DEFAULT_ITEM_A_COLUMN - Static variable in class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.AbstractJDBCDiffStorage
DEFAULT_ITEM_B_COLUMN - Static variable in class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.AbstractJDBCDiffStorage
DEFAULT_ITEM_ID_COLUMN - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
DEFAULT_LONG_ID_COLUMN - Static variable in class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator
DEFAULT_MAPPING_TABLE - Static variable in class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator
DEFAULT_MIN_LLR - Static variable in class org.apache.mahout.vectorizer.collocations.llr.LLRReducer
DEFAULT_MIN_RELOAD_INTERVAL_MS - Static variable in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
DEFAULT_MIN_RELOAD_INTERVAL_MS - Static variable in class org.apache.mahout.cf.taste.impl.model.file.FileIDMigrator
DEFAULT_MIN_RELOAD_INTERVAL_MS - Static variable in class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity
DEFAULT_MIN_SUPPORT - Static variable in class org.apache.mahout.vectorizer.collocations.llr.CollocReducer
DEFAULT_MIN_SUPPORT - Static variable in class org.apache.mahout.vectorizer.DictionaryVectorizer
DEFAULT_PREFERENCE_COLUMN - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
DEFAULT_PREFERENCE_TABLE - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
DEFAULT_PREFERENCE_TIME_COLUMN - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
DEFAULT_STDEV_COLUMN - Static variable in class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.AbstractJDBCDiffStorage
DEFAULT_STRING_ID_COLUMN - Static variable in class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator
DEFAULT_USER_ID_COLUMN - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
DefaultAnalyzer - Class in org.apache.mahout.vectorizer
  A subclass of the Lucene StandardAnalyzer that provides a no-argument constructor.
DefaultAnalyzer() - Constructor for class org.apache.mahout.vectorizer.DefaultAnalyzer
DefaultGradient - Class in org.apache.mahout.classifier.sgd
  Implements the basic logistic training law.
DefaultGradient() - Constructor for class org.apache.mahout.classifier.sgd.DefaultGradient
DefaultIgSplit - Class in org.apache.mahout.df.split
  Default, not optimized, implementation of IgSplit
DefaultIgSplit() - Constructor for class org.apache.mahout.df.split.DefaultIgSplit
DefaultOptionCreator - Class in org.apache.mahout.common.commandline
DefaultTreeBuilder - Class in org.apache.mahout.df.builder
  Builds a Decision Tree
  Based on the algorithm described in the "Decision Trees" tutorials by Andrew W.
DefaultTreeBuilder() - Constructor for class org.apache.mahout.df.builder.DefaultTreeBuilder
defaultValue() - Method in class org.apache.mahout.common.parameters.AbstractParameter
defaultValue() - Method in interface org.apache.mahout.common.parameters.Parameter
defineTargetCategories(List<String>) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory
  Defines the values and thus the encoding of values of the target variables.
defineTargetCategories(List<String>) - Method in interface org.apache.mahout.classifier.sgd.RecordFactory
DelegatingIterator<T> - Class in org.apache.mahout.common.iterator
  An iterator that delegates to another iterator.
DelegatingIterator(Iterator<T>) - Constructor for class org.apache.mahout.common.iterator.DelegatingIterator
deletePaths(Iterable<Path>, FileSystem) - Static method in class org.apache.mahout.common.HadoopUtil
DELTA - Static variable in interface org.apache.mahout.clustering.spectral.eigencuts.EigencutsKeys
  The normalization factor for computing the cut threshold
DenseMatrixWritable - Class in org.apache.mahout.math
DenseMatrixWritable() - Constructor for class org.apache.mahout.math.DenseMatrixWritable
Describe - Class in org.apache.mahout.df.tools
  Generates a file descriptor for a given dataset
description() - Method in class org.apache.mahout.common.parameters.AbstractParameter
description() - Method in interface org.apache.mahout.common.parameters.Parameter
DescriptorException - Exception in org.apache.mahout.df.data
  Exception thrown when parsing a descriptor
DescriptorException(String) - Constructor for exception org.apache.mahout.df.data.DescriptorException
DescriptorUtils - Class in org.apache.mahout.df.data
  Contains various methods that deal with descriptor strings
deserialize(JsonElement, Type, JsonDeserializationContext) - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
deserialize(JsonElement, Type, JsonDeserializationContext) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
deserialize(JsonElement, Type, JsonDeserializationContext) - Method in class org.apache.mahout.clustering.dirichlet.JsonClusterAdapter
deserialize(JsonElement, Type, JsonDeserializationContext) - Method in class org.apache.mahout.clustering.dirichlet.JsonClusterModelAdapter
deserialize(JsonElement, Type, JsonDeserializationContext) - Method in class org.apache.mahout.clustering.JsonDistanceMeasureAdapter
deserialize(JsonElement, Type, JsonDeserializationContext) - Method in class org.apache.mahout.clustering.JsonModelAdapter
deserialize(JsonElement, Type, JsonDeserializationContext) - Method in class org.apache.mahout.clustering.JsonModelDistributionAdapter
deserializeList(Parameters, String, Configuration) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
  Generates the fList from the serialized string representation
deserializeMap(Parameters, String, Configuration) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
  Generates the gList(Group ID Mapping of Various frequent Features) Map from the corresponding serialized representation
determineDelimiter(String) - Static method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
DFUtils - Class in org.apache.mahout.df
  Utility class that contains various helper methods
DIAGONAL_CACHE_INDEX - Static variable in interface org.apache.mahout.clustering.spectral.eigencuts.EigencutsKeys
  Sets the SequenceFile index for the diagonal matrix.
Dictionary - Class in org.apache.mahout.vectorizer.encoders
  Assigns integer codes to strings as they appear.
Dictionary() - Constructor for class org.apache.mahout.vectorizer.encoders.Dictionary
DictionaryVectorizer - Class in org.apache.mahout.vectorizer
  This class converts a set of input documents in the sequence file format to vectors.
DiffStorage - Interface in org.apache.mahout.cf.taste.recommender.slopeone
  Implementations store item-item preference diffs for a `SlopeOneRecommender`.
DIMENSION - Static variable in class org.apache.mahout.vectorizer.common.PartialVectorMerger
DirichletCluster - Class in org.apache.mahout.clustering.dirichlet
DirichletCluster(Cluster, double) - Constructor for class org.apache.mahout.clustering.dirichlet.DirichletCluster
DirichletCluster(Cluster) - Constructor for class org.apache.mahout.clustering.dirichlet.DirichletCluster
DirichletCluster() - Constructor for class org.apache.mahout.clustering.dirichlet.DirichletCluster
DirichletClusterer - Class in org.apache.mahout.clustering.dirichlet
  Performs Bayesian mixture modeling.
DirichletClusterer(List<VectorWritable>, ModelDistribution<VectorWritable>, double, int, int, int) - Constructor for class org.apache.mahout.clustering.dirichlet.DirichletClusterer
  Create a new instance on the sample data with the given additional parameters
DirichletClusterer(boolean, double) - Constructor for class org.apache.mahout.clustering.dirichlet.DirichletClusterer
  This constructor only used by DirichletClusterMapper for setting up clustering params
DirichletClusterer(DirichletState) - Constructor for class org.apache.mahout.clustering.dirichlet.DirichletClusterer
  This constructor is used by DirichletMapper and DirichletReducer for setting up their clusterer
DirichletClusterMapper - Class in org.apache.mahout.clustering.dirichlet
DirichletClusterMapper() - Constructor for class org.apache.mahout.clustering.dirichlet.DirichletClusterMapper
DirichletDriver - Class in org.apache.mahout.clustering.dirichlet
DirichletDriver() - Constructor for class org.apache.mahout.clustering.dirichlet.DirichletDriver
DirichletMapper - Class in org.apache.mahout.clustering.dirichlet
DirichletMapper() - Constructor for class org.apache.mahout.clustering.dirichlet.DirichletMapper
DirichletReducer - Class in org.apache.mahout.clustering.dirichlet
DirichletReducer() - Constructor for class org.apache.mahout.clustering.dirichlet.DirichletReducer
DirichletState - Class in org.apache.mahout.clustering.dirichlet
DirichletState(ModelDistribution<VectorWritable>, int, double) - Constructor for class org.apache.mahout.clustering.dirichlet.DirichletState
DirichletState() - Constructor for class org.apache.mahout.clustering.dirichlet.DirichletState
distance(double[], double[]) - Static method in class org.apache.mahout.common.distance.CosineDistanceMeasure
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.CosineDistanceMeasure
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.CosineDistanceMeasure
distance(Vector, Vector) - Method in interface org.apache.mahout.common.distance.DistanceMeasure
  Returns the distance metric applied to the arguments
distance(double, Vector, Vector) - Method in interface org.apache.mahout.common.distance.DistanceMeasure
  Optimized version of distance metric for sparse vectors.
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.EuclideanDistanceMeasure
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.EuclideanDistanceMeasure
distance(Vector) - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
distance(double[], double[]) - Static method in class org.apache.mahout.common.distance.ManhattanDistanceMeasure
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.ManhattanDistanceMeasure
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.ManhattanDistanceMeasure
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.TanimotoDistanceMeasure
  Calculates the distance between two vectors.
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.TanimotoDistanceMeasure
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.WeightedEuclideanDistanceMeasure
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.WeightedEuclideanDistanceMeasure
distance(Vector, Vector) - Method in class org.apache.mahout.common.distance.WeightedManhattanDistanceMeasure
distance(double, Vector, Vector) - Method in class org.apache.mahout.common.distance.WeightedManhattanDistanceMeasure
DISTANCE_MEASURE_KEY - Static variable in interface org.apache.mahout.clustering.canopy.CanopyConfigKeys
DISTANCE_MEASURE_KEY - Static variable in interface org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansConfigKeys
DISTANCE_MEASURE_KEY - Static variable in interface org.apache.mahout.clustering.kmeans.KMeansConfigKeys
  Configuration key for distance measure to use.
DISTANCE_MEASURE_KEY - Static variable in interface org.apache.mahout.clustering.meanshift.MeanShiftCanopyConfigKeys
DISTANCE_MEASURE_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
DistanceMeasure - Interface in org.apache.mahout.common.distance
  This interface is used for objects which can determine a distance metric between two points
DistanceMeasureCluster - Class in org.apache.mahout.clustering
DistanceMeasureCluster(Vector, int, DistanceMeasure) - Constructor for class org.apache.mahout.clustering.DistanceMeasureCluster
DistanceMeasureCluster() - Constructor for class org.apache.mahout.clustering.DistanceMeasureCluster
DistanceMeasureClusterDistribution - Class in org.apache.mahout.clustering.dirichlet.models
  An implementation of the ModelDistribution interface suitable for testing the DirichletCluster algorithm.
DistanceMeasureClusterDistribution() - Constructor for class org.apache.mahout.clustering.dirichlet.models.DistanceMeasureClusterDistribution
DistanceMeasureClusterDistribution(VectorWritable) - Constructor for class org.apache.mahout.clustering.dirichlet.models.DistanceMeasureClusterDistribution
DistanceMeasureClusterDistribution(VectorWritable, DistanceMeasure) - Constructor for class org.apache.mahout.clustering.dirichlet.models.DistanceMeasureClusterDistribution
distanceMeasureOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for specification of distance measure class to use.
DISTRIBUTED_SIMILARITY_CLASSNAME - Static variable in class org.apache.mahout.math.hadoop.similarity.RowSimilarityJob
DistributedCooccurrenceVectorSimilarity - Class in org.apache.mahout.math.hadoop.similarity.vector
  uses the co-occcurence count as vector similarity
DistributedCooccurrenceVectorSimilarity() - Constructor for class org.apache.mahout.math.hadoop.similarity.vector.DistributedCooccurrenceVectorSimilarity
DistributedEuclideanDistanceVectorSimilarity - Class in org.apache.mahout.math.hadoop.similarity.vector
  distributed implementation of euclidean distance as vector similarity measure
DistributedEuclideanDistanceVectorSimilarity() - Constructor for class org.apache.mahout.math.hadoop.similarity.vector.DistributedEuclideanDistanceVectorSimilarity
DistributedLanczosSolver - Class in org.apache.mahout.math.hadoop.decomposer
DistributedLanczosSolver() - Constructor for class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
DistributedLanczosSolver.DistributedLanczosSolverJob - Class in org.apache.mahout.math.hadoop.decomposer
  Inner subclass of AbstractJob so we get access to AbstractJob's functionality w.r.t.
DistributedLanczosSolver.DistributedLanczosSolverJob() - Constructor for class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver.DistributedLanczosSolverJob
DistributedLoglikelihoodVectorSimilarity - Class in org.apache.mahout.math.hadoop.similarity.vector
  distributed implementation of loglikelihood as vector similarity measure
DistributedLoglikelihoodVectorSimilarity() - Constructor for class org.apache.mahout.math.hadoop.similarity.vector.DistributedLoglikelihoodVectorSimilarity
DistributedPearsonCorrelationVectorSimilarity - Class in org.apache.mahout.math.hadoop.similarity.vector
  distributed implementation of the pearson correlation
DistributedPearsonCorrelationVectorSimilarity() - Constructor for class org.apache.mahout.math.hadoop.similarity.vector.DistributedPearsonCorrelationVectorSimilarity
DistributedRowMatrix - Class in org.apache.mahout.math.hadoop
  DistributedRowMatrix is a FileSystem-backed VectorIterable in which the vectors live in a SequenceFile<WritableComparable,VectorWritable>, and distributed operations are executed as M/R passes on Hadoop.
DistributedRowMatrix(Path, Path, int, int) - Constructor for class org.apache.mahout.math.hadoop.DistributedRowMatrix
DistributedRowMatrix.DistributedMatrixIterator - Class in org.apache.mahout.math.hadoop
DistributedRowMatrix.DistributedMatrixIterator(FileSystem, Path, JobConf) - Constructor for class org.apache.mahout.math.hadoop.DistributedRowMatrix.DistributedMatrixIterator
DistributedRowMatrix.MatrixEntryWritable - Class in org.apache.mahout.math.hadoop
DistributedRowMatrix.MatrixEntryWritable() - Constructor for class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
DistributedTanimotoCoefficientVectorSimilarity - Class in org.apache.mahout.math.hadoop.similarity.vector
  distributed implementation of the tanimoto coefficient
DistributedTanimotoCoefficientVectorSimilarity() - Constructor for class org.apache.mahout.math.hadoop.similarity.vector.DistributedTanimotoCoefficientVectorSimilarity
DistributedUncenteredCosineVectorSimilarity - Class in org.apache.mahout.math.hadoop.similarity.vector
  distributed implementation of cosine similarity that does not center its data
DistributedUncenteredCosineVectorSimilarity() - Constructor for class org.apache.mahout.math.hadoop.similarity.vector.DistributedUncenteredCosineVectorSimilarity
DistributedUncenteredZeroAssumingCosineVectorSimilarity - Class in org.apache.mahout.math.hadoop.similarity.vector
  distributed implementation of the cosine similarity of two vectors
DistributedUncenteredZeroAssumingCosineVectorSimilarity() - Constructor for class org.apache.mahout.math.hadoop.similarity.vector.DistributedUncenteredZeroAssumingCosineVectorSimilarity
DistributedVectorSimilarity - Interface in org.apache.mahout.math.hadoop.similarity.vector
  a measure for the pairwise similarity of two rows of a matrix that is suitable for computing that similarity in a distributed way works in 2 steps: - at first weight() is called for each of the row vectors - later similarity is called with the previously computed weights as parameters
dNorm(double, double, double) - Static method in class org.apache.mahout.clustering.dirichlet.UncommonDistributions
  Return the normal density function value for the sample x pdf = 1/[sqrt(2*p)*s] * e^{-1/2*[(x-m)/s]^2}
doComputeResult(int, int, Iterable<Cooccurrence>, double, double, int) - Method in class org.apache.mahout.math.hadoop.similarity.vector.AbstractDistributedVectorSimilarity
  do the actual similarity computation
doComputeResult(int, int, Iterable<Cooccurrence>, double, double, int) - Method in class org.apache.mahout.math.hadoop.similarity.vector.DistributedEuclideanDistanceVectorSimilarity
doComputeResult(int, int, Iterable<Cooccurrence>, double, double, int) - Method in class org.apache.mahout.math.hadoop.similarity.vector.DistributedLoglikelihoodVectorSimilarity
doComputeResult(int, int, Iterable<Cooccurrence>, double, double, int) - Method in class org.apache.mahout.math.hadoop.similarity.vector.DistributedPearsonCorrelationVectorSimilarity
doComputeResult(int, int, Iterable<Cooccurrence>, double, double, int) - Method in class org.apache.mahout.math.hadoop.similarity.vector.DistributedTanimotoCoefficientVectorSimilarity
doComputeResult(int, int, Iterable<Cooccurrence>, double, double, int) - Method in class org.apache.mahout.math.hadoop.similarity.vector.DistributedUncenteredCosineVectorSimilarity
doComputeResult(int, int, Iterable<Cooccurrence>, double, double, int) - Method in class org.apache.mahout.math.hadoop.similarity.vector.DistributedUncenteredZeroAssumingCosineVectorSimilarity
DOCUMENT_FREQUENCY - Static variable in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesConstants
DOCUMENT_VECTOR_OUTPUT_FOLDER - Static variable in class org.apache.mahout.vectorizer.DictionaryVectorizer
DocumentProcessor - Class in org.apache.mahout.vectorizer
  This class converts a set of input documents in the sequence file format of `StringTuple`s.The `SequenceFile` input should have a `Text` key containing the unique document identifier and a `Text` value containing the whole document.
documentWeight(Datastore, String, String[]) - Method in class org.apache.mahout.classifier.bayes.algorithm.BayesAlgorithm
documentWeight(Datastore, String, String[]) - Method in class org.apache.mahout.classifier.bayes.algorithm.CBayesAlgorithm
documentWeight(Datastore, String, String[]) - Method in interface org.apache.mahout.classifier.bayes.interfaces.Algorithm
  Calculate the document weight as the dot product of document vector and the corresponding weight vector of a particular class
doEstimatePreference(long, long[], long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefUserBasedRecommender
  This computation is in a technical sense, wrong, since in the domain of "boolean preference users" where all preference values are 1, this method should only ever return 1.0 or NaN.
doEstimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
doEstimatePreference(long, long[], long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
doEstimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.knn.KnnItemBasedRecommender
doGetPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
dot(Vector, Vector) - Method in class org.apache.mahout.common.distance.TanimotoDistanceMeasure
DoubleParameter - Class in org.apache.mahout.common.parameters
DoubleParameter(String, String, JobConf, double, String) - Constructor for class org.apache.mahout.common.parameters.DoubleParameter

## E

EigencutsAffinityCutsJob - Class in org.apache.mahout.clustering.spectral.eigencuts
EigencutsAffinityCutsJob.EigencutsAffinityCutsCombiner - Class in org.apache.mahout.clustering.spectral.eigencuts
EigencutsAffinityCutsJob.EigencutsAffinityCutsCombiner() - Constructor for class org.apache.mahout.clustering.spectral.eigencuts.EigencutsAffinityCutsJob.EigencutsAffinityCutsCombiner
EigencutsAffinityCutsJob.EigencutsAffinityCutsMapper - Class in org.apache.mahout.clustering.spectral.eigencuts
EigencutsAffinityCutsJob.EigencutsAffinityCutsMapper() - Constructor for class org.apache.mahout.clustering.spectral.eigencuts.EigencutsAffinityCutsJob.EigencutsAffinityCutsMapper
EigencutsAffinityCutsJob.EigencutsAffinityCutsReducer - Class in org.apache.mahout.clustering.spectral.eigencuts
EigencutsAffinityCutsJob.EigencutsAffinityCutsReducer() - Constructor for class org.apache.mahout.clustering.spectral.eigencuts.EigencutsAffinityCutsJob.EigencutsAffinityCutsReducer
EigencutsDriver - Class in org.apache.mahout.clustering.spectral.eigencuts
EigencutsDriver() - Constructor for class org.apache.mahout.clustering.spectral.eigencuts.EigencutsDriver
EigencutsKeys - Interface in org.apache.mahout.clustering.spectral.eigencuts
  Configuration keys for the Eigencuts algorithm (analogous to KMeansConfigKeys)
EigencutsSensitivityJob - Class in org.apache.mahout.clustering.spectral.eigencuts
  There are a quite a few operations bundled within this mapper.
EigencutsSensitivityMapper - Class in org.apache.mahout.clustering.spectral.eigencuts
EigencutsSensitivityMapper() - Constructor for class org.apache.mahout.clustering.spectral.eigencuts.EigencutsSensitivityMapper
EigencutsSensitivityNode - Class in org.apache.mahout.clustering.spectral.eigencuts
  This class allows the storage of computed sensitivities in an unordered fashion, instead having each sensitivity track its own (i, j) coordinate.
EigencutsSensitivityNode(int, int, double) - Constructor for class org.apache.mahout.clustering.spectral.eigencuts.EigencutsSensitivityNode
EigencutsSensitivityReducer - Class in org.apache.mahout.clustering.spectral.eigencuts
  The point of this class is to take all the arrays of sensitivities and convert them to a single matrix.
EigencutsSensitivityReducer() - Constructor for class org.apache.mahout.clustering.spectral.eigencuts.EigencutsSensitivityReducer
EIGENVALUES_CACHE_INDEX - Static variable in interface org.apache.mahout.clustering.spectral.eigencuts.EigencutsKeys
  Sets the SequenceFile index for the list of eigenvalues.
EigenVector - Class in org.apache.mahout.math.hadoop.decomposer
  TODO this is a horrible hack.
EigenVector(DenseVector, double, double, int) - Constructor for class org.apache.mahout.math.hadoop.decomposer.EigenVector
EigenVerificationJob - Class in org.apache.mahout.math.hadoop.decomposer
  Class for taking the output of an eigendecomposition (specified as a Path location), and verifies correctness, in terms of the following: if you have a vector e, and a matrix m, then let e' = m.timesSquared(v); the error w.r.t.
EigenVerificationJob() - Constructor for class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob
elapsedTime(long) - Static method in class org.apache.mahout.df.DFUtils
  Formats a time interval in milliseconds to a String in the form "hours:minutes:seconds:millis"
ElasticBandPrior - Class in org.apache.mahout.classifier.sgd
  Implements a linear combination of L1 and L2 priors.
ElasticBandPrior(double) - Constructor for class org.apache.mahout.classifier.sgd.ElasticBandPrior
EMIT_MOST_LIKELY_KEY - Static variable in class org.apache.mahout.clustering.dirichlet.DirichletDriver
EMIT_MOST_LIKELY_KEY - Static variable in interface org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansConfigKeys
EMIT_MOST_LIKELY_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
EMIT_UNIGRAMS - Static variable in class org.apache.mahout.vectorizer.collocations.llr.CollocDriver
emitMostLikelyOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for specifying the emitMostLikely flag.
emitPointProbToCluster(Vector, List<SoftCluster>, Mapper<?, ?, Text, ClusterObservations>.Context) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
  Emit the point and its probability of belongingness to each cluster
emitPointToClosestCanopy(Vector, Iterable<Canopy>, Mapper<?, ?, IntWritable, WeightedVectorWritable>.Context) - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer
  Emit the point to the closest Canopy
emitPointToClusters(VectorWritable, List<DirichletCluster>, Mapper<?, ?, IntWritable, WeightedVectorWritable>.Context) - Method in class org.apache.mahout.clustering.dirichlet.DirichletClusterer
  Emit the point to one or more clusters depending upon clusterer state
emitPointToClusters(VectorWritable, List<DirichletCluster>, SequenceFile.Writer) - Method in class org.apache.mahout.clustering.dirichlet.DirichletClusterer
  Emit the point to one or more clusters depending upon clusterer state
emitPointToClusters(VectorWritable, List<SoftCluster>, Mapper<?, ?, IntWritable, WeightedVectorWritable>.Context) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
emitPointToClusters(VectorWritable, List<SoftCluster>, SequenceFile.Writer) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
emitPointToNearestCluster(Vector, Iterable<Cluster>, Mapper<?, ?, Text, ClusterObservations>.Context) - Method in class org.apache.mahout.clustering.kmeans.KMeansClusterer
  Iterates over all clusters and identifies the one closes to the given point.
emitPointToNearestCluster(Vector, Iterable<Cluster>, SequenceFile.Writer) - Method in class org.apache.mahout.clustering.kmeans.KMeansClusterer
  Iterates over all clusters and identifies the one closes to the given point.
EmptyIterable<T> - Class in org.apache.mahout.common.iterator
  An `Iterable` over no elements: always produces an `Iterator` which iterates over nothing.
EmptyIterable() - Constructor for class org.apache.mahout.common.iterator.EmptyIterable
EmptyIterator<T> - Class in org.apache.mahout.common.iterator
  An empty `Iterator`, which iterates over nothing.
EmptyIterator() - Constructor for class org.apache.mahout.common.iterator.EmptyIterator
encodeStateSequence(HmmModel, Collection<String>, boolean, int) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmUtils
  Encodes a given collection of state names by the corresponding state IDs registered in a given model.
encodeType(Gram.Type, byte[], int) - Static method in class org.apache.mahout.vectorizer.collocations.llr.Gram
ENCODING - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
end() - Method in class org.apache.mahout.common.TimingStatistics.Call
EntityCountWritable - Class in org.apache.mahout.cf.taste.hadoop
  A `Writable` encapsulating an item ID and a count .
EntityCountWritable() - Constructor for class org.apache.mahout.cf.taste.hadoop.EntityCountWritable
EntityCountWritable(long, int) - Constructor for class org.apache.mahout.cf.taste.hadoop.EntityCountWritable
EntityCountWritable(EntityCountWritable) - Constructor for class org.apache.mahout.cf.taste.hadoop.EntityCountWritable
EntityEntityWritable - Class in org.apache.mahout.cf.taste.hadoop
  A `WritableComparable` encapsulating two items.
EntityEntityWritable() - Constructor for class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable
EntityEntityWritable(long, long) - Constructor for class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable
EntityPrefWritable - Class in org.apache.mahout.cf.taste.hadoop
  A `Writable` encapsulating an item ID and a preference value.
EntityPrefWritable() - Constructor for class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
EntityPrefWritable(long, float) - Constructor for class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
EntityPrefWritable(EntityPrefWritable) - Constructor for class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
EntityPrefWritableArrayWritable - Class in org.apache.mahout.cf.taste.hadoop
  An `ArrayWritable` holding `EntityPrefWritable`s
EntityPrefWritableArrayWritable() - Constructor for class org.apache.mahout.cf.taste.hadoop.EntityPrefWritableArrayWritable
EntityPrefWritableArrayWritable(EntityPrefWritable[]) - Constructor for class org.apache.mahout.cf.taste.hadoop.EntityPrefWritableArrayWritable
entropy() - Method in class org.apache.mahout.classifier.evaluation.Auc
  Returns a matrix related to the confusion matrix and to the log-likelihood.
entropy(Data) - Method in class org.apache.mahout.df.split.DefaultIgSplit
  Computes the Entropy
entrySet() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
entrySet() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
EPSILON - Static variable in interface org.apache.mahout.clustering.spectral.eigencuts.EigencutsKeys
  Epsilon, or the user-specified coefficient that works in tandem with MINIMUM_HALF_LIFE to determine which eigenvector/eigenvalue pairs to use.
EPSILON_DEFAULT - Static variable in class org.apache.mahout.clustering.spectral.eigencuts.EigencutsDriver
equals(Object) - Method in class org.apache.mahout.cf.taste.hadoop.EntityCountWritable
equals(Object) - Method in class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable
equals(Object) - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
equals(Object) - Method in class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable
equals(Object) - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.CountUsersKeyWritable
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.recommender.SimilarUser
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
equals(Object) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
equals(Object) - Method in class org.apache.mahout.common.IntegerTuple
equals(Object) - Method in class org.apache.mahout.common.IntPairWritable
equals(Object) - Method in class org.apache.mahout.common.IntPairWritable.Frequency
equals(Object) - Method in class org.apache.mahout.common.IntTuple
equals(Object) - Method in class org.apache.mahout.common.LongPair
equals(Object) - Method in class org.apache.mahout.common.Pair
equals(Object) - Method in class org.apache.mahout.common.StringTuple
equals(Object) - Method in class org.apache.mahout.df.callback.ForestPredictions
equals(int, double) - Static method in class org.apache.mahout.df.data.conditions.Condition
  Condition that checks if the given attribute has a value "equal" to the given value
Equals - Class in org.apache.mahout.df.data.conditions
  True if a given attribute has a given value
Equals(int, double) - Constructor for class org.apache.mahout.df.data.conditions.Equals
equals(Object) - Method in class org.apache.mahout.df.data.Data
equals(Object) - Method in class org.apache.mahout.df.data.Dataset
equals(Object) - Method in class org.apache.mahout.df.data.Instance
equals(Object) - Method in class org.apache.mahout.df.DecisionForest
equals(Object) - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
equals(Object) - Method in class org.apache.mahout.df.mapreduce.MapredOutput
equals(Object) - Method in class org.apache.mahout.df.mapreduce.partial.Step0Job.Step0Output
equals(Object) - Method in class org.apache.mahout.df.node.CategoricalNode
equals(Object) - Method in class org.apache.mahout.df.node.Leaf
equals(Object) - Method in class org.apache.mahout.df.node.NumericalNode
equals(Object) - Method in class org.apache.mahout.ep.State
equals(Object) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
equals(Object) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
equals(Object) - Method in class org.apache.mahout.math.hadoop.similarity.Cooccurrence
equals(Object) - Method in class org.apache.mahout.math.hadoop.similarity.SimilarityMatrixEntryKey
equals(Object) - Method in class org.apache.mahout.math.hadoop.similarity.WeightedRowPair
equals(Object) - Method in class org.apache.mahout.math.VarIntWritable
equals(Object) - Method in class org.apache.mahout.math.VarLongWritable
ErrorEstimate - Class in org.apache.mahout.df
  Various methods to compute from the output of a random forest
errorRate(int[], int[]) - Static method in class org.apache.mahout.df.ErrorEstimate
estimate(Long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender.MostSimilarEstimator
estimate(T) - Method in interface org.apache.mahout.cf.taste.impl.recommender.TopItems.Estimator
EstimatedPreferenceCapper - Class in org.apache.mahout.cf.taste.impl.recommender
  Simple class which encapsulates restricting a preference value to a predefined range.
EstimatedPreferenceCapper(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.EstimatedPreferenceCapper
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemAverageRecommender
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemUserAverageRecommender
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.RandomRecommender
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.SlopeOneRecommender
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.SVDRecommender
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender2
estimatePreference(long, long) - Method in interface org.apache.mahout.cf.taste.recommender.Recommender
EuclideanDistanceMeasure - Class in org.apache.mahout.common.distance
  This class implements a Euclidean distance metric by summing the square root of the squared differences between each coordinate.
EuclideanDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.EuclideanDistanceMeasure
EuclideanDistanceSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
  An implementation of a "similarity" based on the Euclidean "distance" between two users X and Y.
EuclideanDistanceSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.EuclideanDistanceSimilarity
EuclideanDistanceSimilarity(DataModel, Weighting) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.EuclideanDistanceSimilarity
EvalMapper - Class in org.apache.mahout.ga.watchmaker
  Generic Mapper class for fitness evaluation.
EvalMapper() - Constructor for class org.apache.mahout.ga.watchmaker.EvalMapper
evaluate(RecommenderBuilder, DataModelBuilder, DataModel, double, double) - Method in interface org.apache.mahout.cf.taste.eval.RecommenderEvaluator
  Evaluates the quality of a `Recommender`'s recommendations.
evaluate(RecommenderBuilder, DataModelBuilder, DataModel, IDRescorer, int, double, double) - Method in interface org.apache.mahout.cf.taste.eval.RecommenderIRStatsEvaluator
evaluate(RecommenderBuilder, DataModelBuilder, DataModel, IDRescorer, int, double, double) - Method in class org.apache.mahout.cf.taste.impl.eval.GenericRecommenderIRStatsEvaluator
evaluate(FitnessEvaluator<?>, List<?>, List<Double>) - Static method in class org.apache.mahout.ga.watchmaker.MahoutEvaluator
  Uses Mahout to evaluate every candidate from the input population using the given evaluator.
evaluate(List<? extends T>, List<Double>) - Method in class org.apache.mahout.ga.watchmaker.MahoutFitnessEvaluator
evaluate(List<? extends T>, List<Double>) - Method in class org.apache.mahout.ga.watchmaker.STFitnessEvaluator
evaluatePopulation(List<T>) - Method in class org.apache.mahout.ga.watchmaker.STEvolutionEngine
EvolutionaryProcess<T extends Payload<T>> - Class in org.apache.mahout.ep
  Allows evolutionary optimization where the state function can't be easily packaged for the optimizer to execute.
EvolutionaryProcess() - Constructor for class org.apache.mahout.ep.EvolutionaryProcess
EvolutionaryProcess(int, int, State<T>) - Constructor for class org.apache.mahout.ep.EvolutionaryProcess
  Creates an evolutionary optimization framework with specified threadiness, population size and initial state.
EvolutionaryProcess.EarlyTerminationException - Exception in org.apache.mahout.ep
EvolutionaryProcess.EarlyTerminationException(String) - Constructor for exception org.apache.mahout.ep.EvolutionaryProcess.EarlyTerminationException
EvolutionaryProcess.Function<T> - Interface in org.apache.mahout.ep
execute(String[], BayesJob) - Static method in class org.apache.mahout.classifier.bayes.mapreduce.common.JobExecutor
  Execute a bayes classification job.
ExpectationMaximizationSVD - Class in org.apache.mahout.cf.taste.impl.recommender.svd
  Calculates the SVD using an Expectation Maximization algorithm.
ExpectationMaximizationSVD(int, int, int, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.ExpectationMaximizationSVD
ExpectationMaximizationSVD(int, int, int, double, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.ExpectationMaximizationSVD
exponential() - Static method in class org.apache.mahout.ep.Mapping
  Maps results to positive values.
exponential(double) - Static method in class org.apache.mahout.ep.Mapping
  Maps results to positive values.
exportWithIDsOnly() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
exportWithIDsOnly() - Method in interface org.apache.mahout.cf.taste.model.JDBCDataModel
exportWithPrefs() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
exportWithPrefs() - Method in interface org.apache.mahout.cf.taste.model.JDBCDataModel
  Hmm, should this exist elsewhere? seems like most relevant for a DB implementation, which is not in memory, which might want to export to memory.
extractFirstIds(Step0Job.Step0Output[]) - Static method in class org.apache.mahout.df.mapreduce.partial.Step0Job.Step0Output
extractLabels() - Method in class org.apache.mahout.df.data.Data
  extract the labels of all instances
extractLabels(Dataset, FileSystem, Path) - Static method in class org.apache.mahout.df.data.Data
  extract the labels of all instances from a data file
extractSizes(Step0Job.Step0Output[]) - Static method in class org.apache.mahout.df.mapreduce.partial.Step0Job.Step0Output

## F

F_LIST - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
FarthestNeighborClusterSimilarity - Class in org.apache.mahout.cf.taste.impl.recommender
  Defines cluster similarity as the smallest similarity between any two users in the clusters -- that is, it says that clusters are close when all pairs of their members have relatively high similarity.
FarthestNeighborClusterSimilarity(UserSimilarity) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.FarthestNeighborClusterSimilarity
  Constructs a based on the given `UserSimilarity`.
FarthestNeighborClusterSimilarity(UserSimilarity, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.FarthestNeighborClusterSimilarity
  Constructs a based on the given `UserSimilarity`.
FastByIDMap<V> - Class in org.apache.mahout.cf.taste.impl.common
FastByIDMap() - Constructor for class org.apache.mahout.cf.taste.impl.common.FastByIDMap
  Creates a new with default capacity.
FastByIDMap(int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastByIDMap
FastByIDMap(int, int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastByIDMap
  Creates a new whose capacity can accommodate the given number of entries without rehash.
FastIDSet - Class in org.apache.mahout.cf.taste.impl.common
FastIDSet() - Constructor for class org.apache.mahout.cf.taste.impl.common.FastIDSet
  Creates a new with default capacity.
FastIDSet(int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastIDSet
FastMap<K,V> - Class in org.apache.mahout.cf.taste.impl.common
  This is an optimized `Map` implementation, based on algorithms described in Knuth's "Art of Computer Programming", Vol.
FastMap() - Constructor for class org.apache.mahout.cf.taste.impl.common.FastMap
  Creates a new with default capacity.
FastMap(int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastMap
FastMap(Map<K, V>) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastMap
FastMap(int, int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FastMap
  Creates a new whose capacity can accommodate the given number of entries without rehash.
FEATURE_COUNT - Static variable in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesConstants
FEATURE_COUNT - Static variable in class org.apache.mahout.vectorizer.tfidf.TFIDFConverter
FEATURE_SET_SIZE - Static variable in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesConstants
FEATURE_SUM - Static variable in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesConstants
FEATURE_SUM - Static variable in class org.apache.mahout.classifier.naivebayes.BayesConstants
FEATURE_TF - Static variable in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesConstants
FeatureLabelComparator - Class in org.apache.mahout.classifier.bayes.mapreduce.common
FeatureLabelComparator() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.common.FeatureLabelComparator
FeaturePartitioner - Class in org.apache.mahout.classifier.bayes.mapreduce.common
  ensure that features all make it into the same partition.
FeaturePartitioner() - Constructor for class org.apache.mahout.classifier.bayes.mapreduce.common.FeaturePartitioner
FeatureVectorEncoder - Class in org.apache.mahout.vectorizer.encoders
  General interface for objects that record features into a feature vector.
FeatureVectorEncoder(String) - Constructor for class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
FeatureVectorEncoder(String, int) - Constructor for class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
featureWeight(Datastore, String, String) - Method in class org.apache.mahout.classifier.bayes.algorithm.BayesAlgorithm
featureWeight(Datastore, String, String) - Method in class org.apache.mahout.classifier.bayes.algorithm.CBayesAlgorithm
featureWeight(Datastore, String, String) - Method in interface org.apache.mahout.classifier.bayes.interfaces.Algorithm
  Get the weighted probability of the feature.
FILE_PATTERN - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
FileDataModel - Class in org.apache.mahout.cf.taste.impl.model.file
  A `DataModel` backed by a delimited file.
FileDataModel(File) - Constructor for class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
FileDataModel(File, boolean, long) - Constructor for class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
FileDiffStorage - Class in org.apache.mahout.cf.taste.impl.recommender.slopeone.file
  `DiffStorage` which reads pre-computed diffs from a file and stores in memory.
FileDiffStorage(File, long) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.slopeone.file.FileDiffStorage
FileIDMigrator - Class in org.apache.mahout.cf.taste.impl.model.file
  An `IDMigrator` backed by a file.
FileIDMigrator(File) - Constructor for class org.apache.mahout.cf.taste.impl.model.file.FileIDMigrator
FileIDMigrator(File, long) - Constructor for class org.apache.mahout.cf.taste.impl.model.file.FileIDMigrator
FileItemSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity.file
  An `ItemSimilarity` backed by a comma-delimited file.
FileItemSimilarity(File) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity
FileItemSimilarity(File, long) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity
FileLineIterable - Class in org.apache.mahout.common
  Iterable representing the lines of a text file.
FileLineIterable(File) - Constructor for class org.apache.mahout.common.FileLineIterable
  Creates a over a given file, assuming a UTF-8 encoding.
FileLineIterable(File, boolean) - Constructor for class org.apache.mahout.common.FileLineIterable
  Creates a over a given file, assuming a UTF-8 encoding.
FileLineIterable(File, Charset, boolean) - Constructor for class org.apache.mahout.common.FileLineIterable
  Creates a over a given file, using the given encoding.
FileLineIterable(InputStream) - Constructor for class org.apache.mahout.common.FileLineIterable
FileLineIterable(InputStream, boolean) - Constructor for class org.apache.mahout.common.FileLineIterable
FileLineIterable(InputStream, Charset, boolean) - Constructor for class org.apache.mahout.common.FileLineIterable
FileLineIterator - Class in org.apache.mahout.common
  Iterates over the lines of a text file.
FileLineIterator(File) - Constructor for class org.apache.mahout.common.FileLineIterator
  Creates a over a given file, assuming a UTF-8 encoding.
FileLineIterator(File, boolean) - Constructor for class org.apache.mahout.common.FileLineIterator
  Creates a over a given file, assuming a UTF-8 encoding.
FileLineIterator(File, Charset, boolean) - Constructor for class org.apache.mahout.common.FileLineIterator
  Creates a over a given file, using the given encoding.
FileLineIterator(InputStream) - Constructor for class org.apache.mahout.common.FileLineIterator
FileLineIterator(InputStream, boolean) - Constructor for class org.apache.mahout.common.FileLineIterator
FileLineIterator(InputStream, Charset, boolean) - Constructor for class org.apache.mahout.common.FileLineIterator
FileParameter - Class in org.apache.mahout.common.parameters
FileParameter(String, String, JobConf, File, String) - Constructor for class org.apache.mahout.common.parameters.FileParameter
findClosestCanopy(Vector, Iterable<Canopy>) - Method in class org.apache.mahout.clustering.canopy.CanopyClusterer
findCoveringCanopy(MeanShiftCanopy, Iterable<MeanShiftCanopy>) - Static method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyClusterer
firstLine(String) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory
  Processes the first line of a file (which should contain the variable names).
firstLine(String) - Method in interface org.apache.mahout.classifier.sgd.RecordFactory
FixedRunningAverage - Class in org.apache.mahout.cf.taste.impl.common
  A simple class that represents a fixed value of an average and count.
FixedRunningAverage(double, int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FixedRunningAverage
FixedRunningAverageAndStdDev - Class in org.apache.mahout.cf.taste.impl.common
  A simple class that represents a fixed value of an average, count and standard deviation.
FixedRunningAverageAndStdDev(double, double, int) - Constructor for class org.apache.mahout.cf.taste.impl.common.FixedRunningAverageAndStdDev
FixedSizeSamplingIterator<T> - Class in org.apache.mahout.common.iterator
  Sample a fixed number of elements from an Iterator.
FixedSizeSamplingIterator(int, Iterator<T>) - Constructor for class org.apache.mahout.common.iterator.FixedSizeSamplingIterator
FLAG_DENSE - Static variable in class org.apache.mahout.math.VectorWritable
FLAG_LAX_PRECISION - Static variable in class org.apache.mahout.math.VectorWritable
FLAG_NAMED - Static variable in class org.apache.mahout.math.VectorWritable
FLAG_SEQUENTIAL - Static variable in class org.apache.mahout.math.VectorWritable
flush(double, Vector) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder
  Adds all of the tokens that we counted up to a vector.
ForestPredictions - Class in org.apache.mahout.df.callback
  Collects a forest's predictions
ForestPredictions(int, int) - Constructor for class org.apache.mahout.df.callback.ForestPredictions
format(String, Analyzer, File, Charset, File) - Static method in class org.apache.mahout.classifier.BayesFileFormatter
  Write the input files to the outdir, one output file per input file
formatCluster(Cluster) - Static method in class org.apache.mahout.clustering.kmeans.Cluster
  Format the cluster for output
formatVector(Vector, String[]) - Static method in class org.apache.mahout.clustering.AbstractCluster
  Return a human-readable formatted string representation of the vector, not intended to be complete nor usable as an input/output representation such as Json
forwardAlgorithm(HmmModel, int[], boolean) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmAlgorithms
  External function to compute a matrix of alpha factors
FPGrowth<A extends java.lang.Comparable<? super A>> - Class in org.apache.mahout.fpm.pfpgrowth.fpgrowth
  Implementation of PFGrowth Algorithm with FP-Bonsai pruning Generic parameter A is the object type used as the cell items in a transaction list.
FPGrowth() - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPGrowth
FPGROWTH - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
FPGrowthDriver - Class in org.apache.mahout.fpm.pfpgrowth
FPTree - Class in org.apache.mahout.fpm.pfpgrowth.fpgrowth
  The Frequent Pattern Tree datastructure used for mining patterns using `FPGrowth` algorithm
FPTree() - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
FPTree(int) - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
FPTreeDepthCache - Class in org.apache.mahout.fpm.pfpgrowth.fpgrowth
  Caches large FPTree `Object` for each level of the recursive `FPGrowth` algorithm to reduce allocation overhead.
FPTreeDepthCache() - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTreeDepthCache
freeze(State<AdaptiveLogisticRegression.Wrapper>) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
Frequencies - Class in org.apache.mahout.df.tools
  Compute the frequency distribution of the "class label"
FrequenciesJob - Class in org.apache.mahout.df.tools
  Temporary class used to compute the frequency distribution of the "class attribute".
FrequenciesJob(Path, Path, Path) - Constructor for class org.apache.mahout.df.tools.FrequenciesJob
FREQUENT_PATTERNS - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
FrequentPatternMaxHeap - Class in org.apache.mahout.fpm.pfpgrowth.fpgrowth
  keeps top K Attributes in a TreeSet
FrequentPatternMaxHeap(int, boolean) - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
fromJson(String) - Static method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
  Decode this NaiveBayesModel from a JSON string
fromJson(String) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Decode this HmmModel from a JSON string
fromList(List<String>) - Static method in class org.apache.mahout.vectorizer.encoders.Dictionary
fromMRTrainerOutput(Path, Configuration) - Static method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
fromString(String) - Static method in class org.apache.mahout.common.Parameters
fromString(String) - Static method in class org.apache.mahout.common.StringUtils
  Restores the object from its string representation.
FullRunningAverage - Class in org.apache.mahout.cf.taste.impl.common
  A simple class that can keep track of a running avearage of a series of numbers.
FullRunningAverage() - Constructor for class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
FullRunningAverageAndStdDev - Class in org.apache.mahout.cf.taste.impl.common
  Extends `FullRunningAverage` to add a running standard deviation computation.
FullRunningAverageAndStdDev() - Constructor for class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
FuzzyKMeansClusterer - Class in org.apache.mahout.clustering.fuzzykmeans
FuzzyKMeansClusterer(DistanceMeasure, double, double) - Constructor for class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
  Init the fuzzy k-means clusterer with the distance measure to use for comparison.
FuzzyKMeansClusterer(Configuration) - Constructor for class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
FuzzyKMeansClusterer() - Constructor for class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
FuzzyKMeansClusterMapper - Class in org.apache.mahout.clustering.fuzzykmeans
FuzzyKMeansClusterMapper() - Constructor for class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterMapper
FuzzyKMeansCombiner - Class in org.apache.mahout.clustering.fuzzykmeans
FuzzyKMeansCombiner() - Constructor for class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansCombiner
FuzzyKMeansConfigKeys - Interface in org.apache.mahout.clustering.fuzzykmeans
FuzzyKMeansDriver - Class in org.apache.mahout.clustering.fuzzykmeans
FuzzyKMeansDriver() - Constructor for class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver
FuzzyKMeansMapper - Class in org.apache.mahout.clustering.fuzzykmeans
FuzzyKMeansMapper() - Constructor for class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansMapper
FuzzyKMeansReducer - Class in org.apache.mahout.clustering.fuzzykmeans
FuzzyKMeansReducer() - Constructor for class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansReducer

## G

G_LIST - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
GaussianAccumulator - Interface in org.apache.mahout.clustering
GaussianCluster - Class in org.apache.mahout.clustering.dirichlet.models
GaussianCluster() - Constructor for class org.apache.mahout.clustering.dirichlet.models.GaussianCluster
GaussianCluster(Vector, int) - Constructor for class org.apache.mahout.clustering.dirichlet.models.GaussianCluster
GaussianCluster(Vector, Vector, int) - Constructor for class org.apache.mahout.clustering.dirichlet.models.GaussianCluster
GaussianClusterDistribution - Class in org.apache.mahout.clustering.dirichlet.models
  An implementation of the ModelDistribution interface suitable for testing the DirichletCluster algorithm.
GaussianClusterDistribution() - Constructor for class org.apache.mahout.clustering.dirichlet.models.GaussianClusterDistribution
GaussianClusterDistribution(VectorWritable) - Constructor for class org.apache.mahout.clustering.dirichlet.models.GaussianClusterDistribution
generateActualKey(K, V) - Method in class org.apache.mahout.classifier.bayes.MultipleOutputFormat
  Generate the actual key from the given key/value.
generateActualValue(K, V) - Method in class org.apache.mahout.classifier.bayes.MultipleOutputFormat
  Generate the actual value from the given key and value.
generateAllGrams(Path, Path, Configuration, int, int, float, int) - Static method in class org.apache.mahout.vectorizer.collocations.llr.CollocDriver
  Generate all ngrams for the `org.apache.mahout.utils.vectors.text.DictionaryVectorizer` job
generateDataset(String, FileSystem, Path) - Static method in class org.apache.mahout.df.data.DataLoader
  Generates the Dataset by parsing the entire data
generateDataset(String, String[]) - Static method in class org.apache.mahout.df.data.DataLoader
  Generates the Dataset by parsing the entire data
generateDescriptor(String) - Static method in class org.apache.mahout.df.data.DescriptorUtils
  Generates a valid descriptor string from a user-friendly representation.
  for example "3 N I N N 2 C L 5 I" generates "N N N I N N C C L I I I I I".
  this useful when describing datasets with a large number of attributes
generateDescriptor(Iterable<String>) - Static method in class org.apache.mahout.df.data.DescriptorUtils
  Generates a valid descriptor string from a list of tokens
generateFileNameForKeyValue(WritableComparable<?>, Writable, String) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureOutputFormat
generateFileNameForKeyValue(WritableComparable<?>, Writable, String) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesTfIdfOutputFormat
generateFileNameForKeyValue(WritableComparable<?>, Writable, String) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesWeightSummerOutputFormat
generateFileNameForKeyValue(K, V, String) - Method in class org.apache.mahout.classifier.bayes.MultipleOutputFormat
  Generate the file output file name based on the given key and the leaf file name.
generateFList(Iterator<Pair<List<A>, Long>>, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPGrowth
  Generate the Feature Frequency list from the given transaction whose frequency > minSupport
generateFList() - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
generateLeafFileName(String) - Method in class org.apache.mahout.classifier.bayes.MultipleOutputFormat
  Generate the leaf name for the output file name.
generateNGrams() - Method in class org.apache.mahout.common.nlp.NGrams
generateNGramsWithoutLabel() - Method in class org.apache.mahout.common.nlp.NGrams
generateTopKFrequentPatterns(Iterator<Pair<List<A>, Long>>, List<Pair<A, Long>>, long, int, Set<A>, OutputCollector<A, List<Pair<List<A>, Long>>>, StatusUpdater) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPGrowth
  Generate Top K Frequent Patterns for every feature in returnableFeatures given a stream of transactions and the minimum support
GenericBooleanPrefDataModel - Class in org.apache.mahout.cf.taste.impl.model
  A simple `DataModel` which uses given user data as its data source.
GenericBooleanPrefDataModel(FastByIDMap<FastIDSet>) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
  Creates a new `GenericDataModel` from the given users (and their preferences).
GenericBooleanPrefDataModel(FastByIDMap<FastIDSet>, FastByIDMap<FastByIDMap<Long>>) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
  Creates a new `GenericDataModel` from the given users (and their preferences).
GenericBooleanPrefDataModel(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
  Deprecated. without direct replacement. Consider `GenericBooleanPrefDataModel.toDataMap(DataModel)` with `GenericBooleanPrefDataModel.GenericBooleanPrefDataModel(FastByIDMap)`
GenericBooleanPrefUserBasedRecommender - Class in org.apache.mahout.cf.taste.impl.recommender
  A variant on `GenericUserBasedRecommender` which is appropriate for use when no notion of preference value exists in the data.
GenericBooleanPrefUserBasedRecommender(DataModel, UserNeighborhood, UserSimilarity) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefUserBasedRecommender
GenericDataModel - Class in org.apache.mahout.cf.taste.impl.model
  A simple `DataModel` which uses a given `List` of users as its data source.
GenericDataModel(FastByIDMap<PreferenceArray>) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericDataModel
  Creates a new from the given users (and their preferences).
GenericDataModel(FastByIDMap<PreferenceArray>, FastByIDMap<FastByIDMap<Long>>) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericDataModel
  Creates a new from the given users (and their preferences).
GenericDataModel(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericDataModel
  Deprecated. without direct replacement. Consider `GenericDataModel.toDataMap(DataModel)` with `GenericDataModel.GenericDataModel(FastByIDMap)`
GenericItemBasedRecommender - Class in org.apache.mahout.cf.taste.impl.recommender
  A simple `Recommender` which uses a given `DataModel` and `ItemSimilarity` to produce recommendations.
GenericItemBasedRecommender(DataModel, ItemSimilarity, CandidateItemsStrategy) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
GenericItemBasedRecommender(DataModel, ItemSimilarity) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
GenericItemBasedRecommender.MostSimilarEstimator - Class in org.apache.mahout.cf.taste.impl.recommender
GenericItemBasedRecommender.MostSimilarEstimator(long, ItemSimilarity, Rescorer<LongPair>) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender.MostSimilarEstimator
GenericItemPreferenceArray - Class in org.apache.mahout.cf.taste.impl.model
  Like `GenericUserPreferenceArray` but stores preferences for one item (all item IDs the same) rather than one user.
GenericItemPreferenceArray(int) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
GenericItemPreferenceArray(List<Preference>) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
GenericItemSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
  A "generic" `GenericItemSimilarity.ItemItemSimilarity` which takes a static list of precomputed item similarities and bases its responses on that alone.
GenericItemSimilarity(Iterable<GenericItemSimilarity.ItemItemSimilarity>) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity
  Creates a from a precomputed list of `GenericItemSimilarity.ItemItemSimilarity`s.
GenericItemSimilarity(Iterable<GenericItemSimilarity.ItemItemSimilarity>, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity
  Like `GenericItemSimilarity.GenericItemSimilarity(Iterable)`, but will only keep the specified number of similarities from the given `Iterable` of similarities.
GenericItemSimilarity(ItemSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity
  Builds a list of item-item similarities given an `GenericItemSimilarity.ItemItemSimilarity` implementation and a `DataModel`, rather than a list of `GenericItemSimilarity.ItemItemSimilarity`s.
GenericItemSimilarity(ItemSimilarity, DataModel, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity
  Like `GenericItemSimilarity.GenericItemSimilarity(ItemSimilarity, DataModel)` )}, but will only keep the specified number of similarities from the given `DataModel`.
GenericItemSimilarity.ItemItemSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
  Encapsulates a similarity between two items.
GenericItemSimilarity.ItemItemSimilarity(long, long, double) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
GenericJDBCDataModel - Class in org.apache.mahout.cf.taste.impl.model.jdbc
  A generic `DataModel` designed for use with other JDBC data sources; one just specifies all necessary SQL queries to the constructor here.
GenericJDBCDataModel(Properties) - Constructor for class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
  Specifies all SQL queries in a `Properties` object.
GenericJDBCDataModel(File) - Constructor for class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
  See `GenericJDBCDataModel.GenericJDBCDataModel(java.util.Properties)`.
GenericJDBCDataModel(String) - Constructor for class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
  See `GenericJDBCDataModel.GenericJDBCDataModel(Properties)`.
GenericPreference - Class in org.apache.mahout.cf.taste.impl.model
  A simple `Preference` encapsulating an item and preference value.
GenericPreference(long, long, float) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericPreference
GenericRecommendedItem - Class in org.apache.mahout.cf.taste.impl.recommender
  A simple implementation of `RecommendedItem`.
GenericRecommendedItem(long, float) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem
GenericRecommenderIRStatsEvaluator - Class in org.apache.mahout.cf.taste.impl.eval
  For each user, these implementation determine the top `n` preferences, then evaluate the IR statistics based on a `DataModel` that does not have these values.
GenericRecommenderIRStatsEvaluator() - Constructor for class org.apache.mahout.cf.taste.impl.eval.GenericRecommenderIRStatsEvaluator
GenericUserBasedRecommender - Class in org.apache.mahout.cf.taste.impl.recommender
  A simple `Recommender` which uses a given `DataModel` and `UserNeighborhood` to produce recommendations.
GenericUserBasedRecommender(DataModel, UserNeighborhood, UserSimilarity) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
GenericUserPreferenceArray - Class in org.apache.mahout.cf.taste.impl.model
  This implementation maintains two parallel arrays, of user IDs and values.
GenericUserPreferenceArray(int) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
GenericUserPreferenceArray(List<Preference>) - Constructor for class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
GenericUserSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
GenericUserSimilarity(Iterable<GenericUserSimilarity.UserUserSimilarity>) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity
GenericUserSimilarity(Iterable<GenericUserSimilarity.UserUserSimilarity>, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity
GenericUserSimilarity(UserSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity
GenericUserSimilarity(UserSimilarity, DataModel, int) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity
GenericUserSimilarity.UserUserSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
GenericUserSimilarity.UserUserSimilarity(long, long, double) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
get(K) - Method in class org.apache.mahout.cf.taste.impl.common.Cache
  Returns cached value for a key.
get(long) - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
get(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
get(K) - Method in interface org.apache.mahout.cf.taste.impl.common.Retriever
get(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
get(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
get(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
get(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
get(int) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
get(K) - Method in interface org.apache.mahout.common.cache.Cache
  Gets the Value from the Cache, If the object doesnt exist default behaviour is to return null.
get(K) - Method in class org.apache.mahout.common.cache.HybridCache
get(K) - Method in class org.apache.mahout.common.cache.LeastKCache
get(K) - Method in class org.apache.mahout.common.cache.LFUCache
get(K) - Method in class org.apache.mahout.common.cache.LRUCache
get() - Method in class org.apache.mahout.common.parameters.AbstractParameter
get(String) - Method in class org.apache.mahout.common.Parameters
get(String, String) - Method in class org.apache.mahout.common.Parameters
get() - Method in interface org.apache.mahout.common.parameters.Parameter
get(int) - Method in class org.apache.mahout.df.data.Data
  Returns the element at the specified position
get(int) - Method in class org.apache.mahout.df.data.Instance
  Return the attribute at the specified position
get(int) - Method in class org.apache.mahout.ep.State
  Returns a transformed parameter.
get() - Method in class org.apache.mahout.math.MatrixWritable
get() - Method in class org.apache.mahout.math.VarIntWritable
get() - Method in class org.apache.mahout.math.VarLongWritable
get() - Method in class org.apache.mahout.math.VectorWritable
GET_ALL_USERS_SQL_KEY - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
GET_ITEMS_SQL_KEY - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
GET_MAX_PREFERENCE_KEY - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
GET_MIN_PREFERENCE_KEY - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
GET_NUM_ITEMS_SQL_KEY - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
GET_NUM_PREFERENCE_FOR_ITEM_KEY - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
GET_NUM_PREFERENCE_FOR_ITEMS_KEY - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
GET_NUM_USERS_SQL_KEY - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
GET_PREFERENCE_SQL_KEY - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
GET_PREFERENCE_TIME_SQL_KEY - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
GET_PREFS_FOR_ITEM_SQL_KEY - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
GET_USER_SQL_KEY - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
GET_USERS_SQL_KEY - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
getAccuracy(String) - Method in class org.apache.mahout.classifier.ConfusionMatrix
getActual() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.TrainingExample
getAID() - Method in class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable
getAllOtherItems(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender
getAllOtherItems(long[], long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefUserBasedRecommender
getAllOtherItems(long[], long) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
getAlphaI() - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
getAlphaI() - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
getAnalyzer() - Method in class org.apache.mahout.df.mapreduce.Classifier
getAttr() - Method in class org.apache.mahout.df.split.Split
  attribute to split for
getAttributeAtIndex(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
getAucEvaluator() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
getAverage() - Method in class org.apache.mahout.cf.taste.impl.common.CompactRunningAverage
getAverage() - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverage
getAverage() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
getAverage() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage
getAverage() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
getAverage() - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverage
getAverage() - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
getAverageItemPref(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.file.FileDiffStorage
getAverageItemPref(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.AbstractJDBCDiffStorage
getAverageItemPref(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.MemoryDiffStorage
getAverageItemPref(long) - Method in interface org.apache.mahout.cf.taste.recommender.slopeone.DiffStorage
getAverageStd() - Method in interface org.apache.mahout.clustering.GaussianAccumulator
getAverageStd() - Method in class org.apache.mahout.clustering.OnlineGaussianAccumulator
getAverageStd() - Method in class org.apache.mahout.clustering.RunningSumsGaussianAccumulator
getBaseGradient() - Method in class org.apache.mahout.classifier.sgd.RankingGradient
getBaseRecordWriter(FileSystem, JobConf, String, Progressable) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureOutputFormat
getBaseRecordWriter(FileSystem, JobConf, String, Progressable) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesTfIdfOutputFormat
getBaseRecordWriter(FileSystem, JobConf, String, Progressable) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesWeightSummerOutputFormat
getBaseRecordWriter(FileSystem, Configuration, String, Progressable) - Method in class org.apache.mahout.classifier.bayes.MultipleOutputFormat
getBaseRecordWriter(FileSystem, Configuration, String, Progressable) - Method in class org.apache.mahout.classifier.bayes.MultipleTextOutputFormat
getBest() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
getBeta() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
getBID() - Method in class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable
getBoundPoints() - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopy
getBuffer() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
getBytes() - Method in class org.apache.mahout.common.IntPairWritable
getBytes() - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram
getBytes() - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey
getCachedCell(String, String, String) - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
getCaches() - Method in class org.apache.mahout.vectorizer.encoders.CachingContinuousValueEncoder
getCaches() - Method in class org.apache.mahout.vectorizer.encoders.CachingStaticWordValueEncoder
getCandidateItems(long, DataModel) - Method in class org.apache.mahout.cf.taste.impl.recommender.AllUnknownItemsCandidateItemsStrategy
getCandidateItems(long, DataModel) - Method in class org.apache.mahout.cf.taste.impl.recommender.PreferredItemsNeighborhoodCandidateItemsStrategy
getCandidateItems(long, DataModel) - Method in class org.apache.mahout.cf.taste.impl.recommender.SamplingCandidateItemsStrategy
getCandidateItems(long, DataModel) - Method in interface org.apache.mahout.cf.taste.recommender.CandidateItemsStrategy
  #return IDs of all items that could be recommended to the user
getCanopies(Configuration) - Static method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyClusterMapper
getCategory(int) - Method in class org.apache.mahout.classifier.sgd.ModelDissector.Weight
getCenter() - Method in class org.apache.mahout.clustering.AbstractCluster
getCenter() - Method in interface org.apache.mahout.clustering.Cluster
  Get the "center" of the Cluster as a Vector
getCenter() - Method in class org.apache.mahout.clustering.dirichlet.DirichletCluster
getCenter() - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
getCenter() - Method in class org.apache.mahout.clustering.dirichlet.models.L1Model
getCenter() - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModel
getCenters(Iterable<Canopy>) - Static method in class org.apache.mahout.clustering.canopy.CanopyClusterer
  Iterate through the canopies, adding their centroids to a list
getCleanedEigensPath() - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob
getCluster(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender
getCluster(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender2
getCluster(long) - Method in interface org.apache.mahout.cf.taste.recommender.ClusteringRecommender
  Returns the cluster of users to which the given user, denoted by user ID, belongs.
getClusters() - Method in class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender
getClusters() - Method in class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender2
getClusters() - Method in interface org.apache.mahout.cf.taste.recommender.ClusteringRecommender
  Returns all clusters of users.
getClusters(Configuration) - Static method in class org.apache.mahout.clustering.dirichlet.DirichletClusterMapper
getClusters() - Method in class org.apache.mahout.clustering.dirichlet.DirichletState
getCol() - Method in class org.apache.mahout.clustering.spectral.common.VertexWritable
getCol() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
getColumn() - Method in class org.apache.mahout.clustering.spectral.eigencuts.EigencutsSensitivityNode
getColumn() - Method in class org.apache.mahout.math.hadoop.similarity.Cooccurrence
getCombinerState() - Method in class org.apache.mahout.clustering.ClusterObservations
getCompressedTree() - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
getConf() - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver.DistributedLanczosSolverJob
getConf() - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
getConfig() - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
getConfusionMatrix() - Method in class org.apache.mahout.classifier.ConfusionMatrix
getConfusionMatrix() - Method in class org.apache.mahout.classifier.ResultAnalyzer
getConnection() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.ConnectionPoolDataSource
getConnection(String, String) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.ConnectionPoolDataSource
getCorrect(String) - Method in class org.apache.mahout.classifier.ConfusionMatrix
getCosAngleError() - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVector
getCount() - Method in class org.apache.mahout.cf.taste.hadoop.EntityCountWritable
getCount() - Method in class org.apache.mahout.cf.taste.impl.common.CompactRunningAverage
getCount() - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverage
getCount() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
getCount() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage
getCount() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
getCount() - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverage
getCount() - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
getCount(String, String) - Method in class org.apache.mahout.classifier.ConfusionMatrix
getCumulativeInitialProbabilities(HmmModel) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmUtils
  Compute the cumulative distribution of the initial hidden state probabilities for the given HMM model.
getCumulativeOutputMatrix(HmmModel) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmUtils
  Compute the cumulative output probability matrix for the given HMM model.
getCumulativeTransitionMatrix(HmmModel) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmUtils
  Compute the cumulative transition probability matrix for the given HMM model.
getCurrentKey() - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader
getCurrentValue() - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader
getDataFile() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getDataModel() - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender
getDataModel() - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
getDataModel() - Method in interface org.apache.mahout.cf.taste.recommender.Recommender
getDataPath() - Method in class org.apache.mahout.df.mapreduce.Builder
getDataset() - Method in class org.apache.mahout.df.data.Data
getDataset() - Method in class org.apache.mahout.df.mapreduce.MapredMapper
getDatasetPath() - Method in class org.apache.mahout.df.mapreduce.Builder
getDataSource() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
getDataSource() - Method in interface org.apache.mahout.cf.taste.model.JDBCDataModel
getDefaultCandidateItemsStrategy() - Static method in class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender
getDelimiter() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getDictionary() - Method in class org.apache.mahout.vectorizer.encoders.AdaptiveWordValueEncoder
getDiff(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.file.FileDiffStorage
getDiff(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.AbstractJDBCDiffStorage
getDiff(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.MemoryDiffStorage
getDiff(long, long) - Method in interface org.apache.mahout.cf.taste.recommender.slopeone.DiffStorage
getDiffs(long, long, PreferenceArray) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.file.FileDiffStorage
getDiffs(long, long, PreferenceArray) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.AbstractJDBCDiffStorage
getDiffs(long, long, PreferenceArray) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.MemoryDiffStorage
getDiffs(long, long, PreferenceArray) - Method in interface org.apache.mahout.cf.taste.recommender.slopeone.DiffStorage
getDirichletState(Configuration) - Static method in class org.apache.mahout.clustering.dirichlet.DirichletMapper
getDistributedCacheFile(Configuration, int) - Static method in class org.apache.mahout.df.mapreduce.Builder
  Helper method.
getDotProduct(int, int) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ExpectationMaximizationSVD
getEigenValue() - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVector
getEmissionMatrix() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Getter function to get the output state probability matrix
getEntries() - Method in class org.apache.mahout.common.IntegerTuple
  Fetch the list of entries from the tuple
getEntries() - Method in class org.apache.mahout.common.IntTuple
  Fetch the list of entries from the tuple
getEntries() - Method in class org.apache.mahout.common.StringTuple
  Fetch the list of entries from the tuple
getEp() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
getEvictionCount() - Method in class org.apache.mahout.common.cache.LFUCache
getF1Measure() - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics
  See F-measure.
getF1Measure() - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl
getFallOut() - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics
  See Fall-Out.
getFallOut() - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl
getFeature() - Method in class org.apache.mahout.classifier.sgd.ModelDissector.Weight
getFeatureSum() - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
getFetchSize() - Method in class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent
getFetchSize() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.MySQLBooleanPrefJDBCDataModel
getFetchSize() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.MySQLJDBCDataModel
getFetchSize() - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.MySQLJDBCDiffStorage
getFetchSize() - Method in class org.apache.mahout.cf.taste.impl.similarity.jdbc.MySQLJDBCItemSimilarity
getFirst() - Method in class org.apache.mahout.common.IntPairWritable
getFirst() - Method in class org.apache.mahout.common.LongPair
getFirst() - Method in class org.apache.mahout.common.Pair
getFirstId() - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
getFirstId() - Method in class org.apache.mahout.df.mapreduce.partial.Step0Job.Step0Output
getFirstLevelCacheSize() - Static method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTreeDepthCache
getFirstLevelTree(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTreeDepthCache
getFirstTreeId() - Method in class org.apache.mahout.df.mapreduce.partial.Step1Mapper
getFitness(T, List<? extends T>) - Method in class org.apache.mahout.ga.watchmaker.STFitnessEvaluator
getFNMeasure(double) - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics
  See F-measure.
getFNMeasure(double) - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl
getFrequency() - Method in class org.apache.mahout.common.IntPairWritable.Frequency
getFrequency() - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram
getGamma() - Method in class org.apache.mahout.clustering.lda.LDAInference.InferredDocument
getGroupKey() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.TrainingExample
getHbaseTable() - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
getHeaderNext(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
getHeaderSupportCount(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
getHeaderTableAttributes() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
getHeaderTableCount() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
getHeap() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
getHiddenStateID(String) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Lookup the ID for the given hidden state name
getHiddenStateName(int) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Lookup the name for the given hidden state ID
getHiddenStateNames() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Getter method for the hidden state Names map
getHits() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTreeDepthCache
getID() - Method in class org.apache.mahout.cf.taste.hadoop.EntityCountWritable
getID() - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
getId() - Method in class org.apache.mahout.clustering.AbstractCluster
getId() - Method in interface org.apache.mahout.clustering.Cluster
  Get the id of the Cluster
getId() - Method in class org.apache.mahout.clustering.dirichlet.DirichletCluster
getId() - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
getId() - Method in class org.apache.mahout.clustering.dirichlet.models.L1Model
getId() - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModel
getId() - Method in class org.apache.mahout.df.data.Instance
  instance unique id
getId() - Method in class org.apache.mahout.ep.State
getIdentifier() - Method in class org.apache.mahout.clustering.AbstractCluster
getIdentifier() - Method in class org.apache.mahout.clustering.canopy.Canopy
getIdentifier() - Method in class org.apache.mahout.clustering.dirichlet.models.GaussianCluster
getIdentifier() - Method in class org.apache.mahout.clustering.DistanceMeasureCluster
getIdentifier() - Method in class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
getIdentifier() - Method in class org.apache.mahout.clustering.kmeans.Cluster
getIdentifier() - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopy
getIDs() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
getIDs() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
getIDs() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
getIDs() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
getIDs() - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
getIg() - Method in class org.apache.mahout.df.split.Split
  Information Gain of the split
getIgnored() - Method in class org.apache.mahout.df.data.Dataset
getIndex() - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVector
getInitialProbabilities() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Getter function to return the vector of initial hidden state probabilities
getInitialVector(VectorIterable) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
  For the distributed case, the best guess at a useful initialization state for Lanczos we'll chose to be uniform over all input dimensions, L_2 normalized.
getInputFileBasedOutputFileName(Configuration, String) - Method in class org.apache.mahout.classifier.bayes.MultipleOutputFormat
  Generate the outfile name based on a given name and the input file name.
getInputPath() - Method in class org.apache.mahout.common.AbstractJob
  Returns the input path established by a call to `AbstractJob.parseArguments(String[])`.
getInstance() - Static method in class org.apache.mahout.cf.taste.impl.recommender.ByValueRecommendedItemComparator
getInstance() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.TrainingExample
getInverseCovarianceMatrix() - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
getItemAIDColumn() - Method in class org.apache.mahout.cf.taste.impl.similarity.jdbc.AbstractJDBCItemSimilarity
getItemBIDColumn() - Method in class org.apache.mahout.cf.taste.impl.similarity.jdbc.AbstractJDBCItemSimilarity
getItemID(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
getItemID() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanPreference
getItemID(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
getItemID(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
getItemID() - Method in class org.apache.mahout.cf.taste.impl.model.GenericPreference
getItemID(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
getItemID() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem
getItemID() - Method in interface org.apache.mahout.cf.taste.model.Preference
getItemID(int) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
getItemID() - Method in interface org.apache.mahout.cf.taste.recommender.RecommendedItem
getItemID1() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
getItemID2() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
getItemIDColumn() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
getItemIDs() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getItemIDs() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getItemIDs() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getItemIDs() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
getItemIDs() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getItemIDs() - Method in interface org.apache.mahout.cf.taste.model.DataModel
getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getItemIDsFromUser(long) - Method in interface org.apache.mahout.cf.taste.model.DataModel
getItemInstance() - Static method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
getItemItemPairInstance() - Static method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
getIterator() - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
getKey() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.TrainingExample
getKey() - Method in class org.apache.mahout.clustering.spectral.common.IntDoublePairWritable
getKeys(String) - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
getKeys(String) - Method in class org.apache.mahout.classifier.bayes.datastore.InMemoryBayesDatastore
getKeys(String) - Method in interface org.apache.mahout.classifier.bayes.interfaces.Datastore
  get the keySet of a given Matrix/Vector as given by `name`
getLabel() - Method in class org.apache.mahout.classifier.ClassifierResult
getLabel(int) - Method in class org.apache.mahout.df.data.Dataset
getLabel() - Method in class org.apache.mahout.df.data.Instance
  instance label code.
  use Dataset.labels to get the real label value
getLabelId() - Method in class org.apache.mahout.df.data.Dataset
getLabels(Datastore) - Method in class org.apache.mahout.classifier.bayes.algorithm.BayesAlgorithm
getLabels(Datastore) - Method in class org.apache.mahout.classifier.bayes.algorithm.CBayesAlgorithm
getLabels(Datastore) - Method in interface org.apache.mahout.classifier.bayes.interfaces.Algorithm
  Returns the labels in the given Model
getLabels() - Method in class org.apache.mahout.classifier.bayes.model.ClassifierContext
  Gets the labels in the given model
getLabels() - Method in class org.apache.mahout.classifier.ConfusionMatrix
getLabels() - Method in class org.apache.mahout.math.MultiLabelVectorWritable
getLabelSum() - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
getLambda() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
getLearner() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
getLength() - Method in class org.apache.mahout.common.IntPairWritable
getLength() - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
getLength() - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram
getLength() - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey
getLocations() - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
getLogBase() - Method in class org.apache.mahout.cf.taste.impl.transforms.InverseUserFrequency
getLoginTimeout() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.ConnectionPoolDataSource
getLogLikelihood() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
getLogLikelihood() - Method in class org.apache.mahout.clustering.lda.LDAInference.InferredDocument
getLogLikelihood() - Method in class org.apache.mahout.clustering.lda.LDAState
getLogWriter() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.ConnectionPoolDataSource
getLongColumn(ResultSet, int) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
  Subclasses may wish to override this if ID values in the file are not numeric.
getM() - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
getMappedParams() - Method in class org.apache.mahout.ep.State
  Returns all the parameters in mapped form.
getMaps() - Method in class org.apache.mahout.ep.State
getMaxImpact() - Method in class org.apache.mahout.classifier.sgd.ModelDissector.Weight
getMaxInterval() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
getMaxPreference() - Method in interface org.apache.mahout.cf.taste.eval.RecommenderEvaluator
  Deprecated. see `DataModel.getMaxPreference()`
getMaxPreference() - Method in class org.apache.mahout.cf.taste.impl.model.AbstractDataModel
getMaxPreference() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getMaxPreference() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractBooleanPrefJDBCDataModel
getMaxPreference() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
getMaxPreference() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getMaxPreference() - Method in interface org.apache.mahout.cf.taste.model.DataModel
getMaxTime() - Method in class org.apache.mahout.common.TimingStatistics
getMean() - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
getMean() - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModel
getMean() - Method in interface org.apache.mahout.clustering.GaussianAccumulator
getMean() - Method in class org.apache.mahout.clustering.OnlineGaussianAccumulator
getMean() - Method in class org.apache.mahout.clustering.RunningSumsGaussianAccumulator
getMeanTime() - Method in class org.apache.mahout.common.TimingStatistics
getMeanVector() - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
getMeasure() - Method in class org.apache.mahout.clustering.dirichlet.models.DistanceMeasureClusterDistribution
getMeasure() - Method in class org.apache.mahout.clustering.DistanceMeasureCluster
getMeasure() - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
getMinInterval() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
getMinPreference() - Method in interface org.apache.mahout.cf.taste.eval.RecommenderEvaluator
  Deprecated. see `DataModel.getMinPreference()`
getMinPreference() - Method in class org.apache.mahout.cf.taste.impl.model.AbstractDataModel
getMinPreference() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getMinPreference() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractBooleanPrefJDBCDataModel
getMinPreference() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
getMinPreference() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getMinPreference() - Method in interface org.apache.mahout.cf.taste.model.DataModel
getMinTime() - Method in class org.apache.mahout.common.TimingStatistics
getMisses() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTreeDepthCache
getMixture() - Method in class org.apache.mahout.clustering.dirichlet.DirichletState
getModel() - Method in class org.apache.mahout.classifier.discriminative.LinearTrainer
  Retrieves the trained model if called after train, otherwise the raw model.
getModel() - Method in class org.apache.mahout.clustering.dirichlet.DirichletCluster
getModelFactory() - Method in class org.apache.mahout.clustering.dirichlet.DirichletState
getModelName() - Static method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
getModelPrototype() - Method in class org.apache.mahout.clustering.dirichlet.models.AbstractVectorModelDistribution
getModels() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
getModels() - Method in class org.apache.mahout.clustering.dirichlet.DirichletState
getN() - Method in interface org.apache.mahout.clustering.GaussianAccumulator
getN() - Method in class org.apache.mahout.clustering.OnlineGaussianAccumulator
getN() - Method in class org.apache.mahout.clustering.RunningSumsGaussianAccumulator
getName() - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
getNbTrees(Configuration) - Static method in class org.apache.mahout.df.mapreduce.Builder
  Get the number of trees for the map-reduce job.
getNbTrees() - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
getNCalls() - Method in class org.apache.mahout.common.TimingStatistics
getNewModels() - Method in class org.apache.mahout.clustering.dirichlet.DirichletReducer
getNrOfHiddenStates() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Getter Method for the number of hidden states
getNrOfOutputStates() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Getter Method for the number of output states
getNumCategories() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
getNumClusters() - Method in class org.apache.mahout.clustering.dirichlet.DirichletState
getNumFeatures() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
getNumFeatures() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
getNumItems() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getNumItems() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getNumItems() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getNumItems() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
getNumItems() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getNumItems() - Method in interface org.apache.mahout.cf.taste.model.DataModel
getNumLabels() - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
getNumMaps(Configuration) - Static method in class org.apache.mahout.df.mapreduce.Builder
  Return the value of "mapred.map.tasks".
getNumPoints() - Method in class org.apache.mahout.clustering.AbstractCluster
getNumPoints() - Method in interface org.apache.mahout.clustering.Cluster
  Get an integer denoting the number of points observed by this cluster
getNumPoints() - Method in class org.apache.mahout.clustering.dirichlet.DirichletCluster
getNumPoints() - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
getNumPoints() - Method in class org.apache.mahout.clustering.dirichlet.models.L1Model
getNumPoints() - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModel
getNumTopics() - Method in class org.apache.mahout.clustering.lda.LDAState
getNumUsers() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getNumUsers() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getNumUsers() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getNumUsers() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
getNumUsers() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getNumUsers() - Method in interface org.apache.mahout.cf.taste.model.DataModel
getNumUsersWithPreferenceFor(long...) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getNumUsersWithPreferenceFor(long...) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getNumUsersWithPreferenceFor(long...) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getNumUsersWithPreferenceFor(long...) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
getNumUsersWithPreferenceFor(long...) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getNumUsersWithPreferenceFor(long...) - Method in interface org.apache.mahout.cf.taste.model.DataModel
getNumWords() - Method in class org.apache.mahout.clustering.lda.LDAState
getObservations() - Method in class org.apache.mahout.clustering.AbstractCluster
getOmni() - Method in class org.apache.mahout.ep.State
getOption(String) - Method in class org.apache.mahout.common.AbstractJob
getOutputPath() - Method in class org.apache.mahout.common.AbstractJob
  Returns the output path established by a call to `AbstractJob.parseArguments(String[])`.
getOutputPath(Configuration) - Method in class org.apache.mahout.df.mapreduce.Builder
  Output Directory name
getOutputStateID(String) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Lookup the ID for the given output state name
getOutputStateName(int) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Lookup the name for the given output state id
getOutputStateNames() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Getter method for the output state Names map
getOutputTempPath() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
getPair() - Method in class org.apache.mahout.common.IntPairWritable.Frequency
getParameters() - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
getParameters() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
getParameters() - Method in class org.apache.mahout.common.distance.CosineDistanceMeasure
getParameters() - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
getParameters() - Method in class org.apache.mahout.common.distance.ManhattanDistanceMeasure
getParameters() - Method in class org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure
getParameters() - Method in class org.apache.mahout.common.distance.WeightedDistanceMeasure
getParameters() - Method in class org.apache.mahout.common.parameters.AbstractParameter
getParameters() - Method in class org.apache.mahout.common.parameters.CompositeParameter
getParameters() - Method in interface org.apache.mahout.common.parameters.Parametered
getParams() - Method in class org.apache.mahout.ep.State
getPartition(CountUsersKeyWritable, VarLongWritable, int) - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.CountUsersKeyWritable.CountUsersPartitioner
getPartition(StringTuple, DoubleWritable, int) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.FeaturePartitioner
getPartition(GramKey, Gram, int) - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKeyPartitioner
getPattern() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
getPatterns() - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.string.TopKStringPatterns
getPatternWithSupport() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
getPayload() - Method in class org.apache.mahout.ep.State
getPerlabelThetaNormalizer() - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
getPopulation() - Method in class org.apache.mahout.ep.EvolutionaryProcess
getPopulationSize() - Method in class org.apache.mahout.ep.EvolutionaryProcess
getPrecision() - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics
  See Precision.
getPrecision() - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl
getPredictions() - Method in class org.apache.mahout.df.callback.SingleTreePredictions
getPredictions() - Method in class org.apache.mahout.df.mapreduce.MapredOutput
getPredictors() - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory
  Returns a list of the names of the predictor variables.
getPredictors() - Method in interface org.apache.mahout.classifier.sgd.RecordFactory
getPreferenceColumn() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getPreferencesForItem(long) - Method in interface org.apache.mahout.cf.taste.model.DataModel
getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getPreferencesFromUser(long) - Method in interface org.apache.mahout.cf.taste.model.DataModel
getPreferenceTable() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
getPreferenceTime(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getPreferenceTime(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getPreferenceTime(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getPreferenceTime(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
getPreferenceTime(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getPreferenceTime(long, long) - Method in interface org.apache.mahout.cf.taste.model.DataModel
  Retrieves the time at which a preference value from a user and item was set, if known.
getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getPreferenceValue(long, long) - Method in interface org.apache.mahout.cf.taste.model.DataModel
  Retrieves the preference value for a single user and item.
getPrefs() - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritableArrayWritable
getPrefValue() - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
getPrefValue() - Method in class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable
getPrimaryLength() - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey
getPrimaryString() - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey
getPrior() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
getPrior() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
getPrior() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
getProbes() - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
getProgress() - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader
getRadius() - Method in class org.apache.mahout.clustering.AbstractCluster
getRadius() - Method in interface org.apache.mahout.clustering.Cluster
  Get the "radius" of the Cluster as a Vector.
getRadius() - Method in class org.apache.mahout.clustering.dirichlet.DirichletCluster
getRadius() - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
getRadius() - Method in class org.apache.mahout.clustering.dirichlet.models.L1Model
getRadius() - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModel
getRandomSeed(Configuration) - Static method in class org.apache.mahout.df.mapreduce.Builder
  Returns the random seed
getRawUserData() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
  This is used mostly internally to the framework, and shouldn't be relied upon otherwise.
getRawUserData() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
  This is used mostly internally to the framework, and shouldn't be relied upon otherwise.
getRecall() - Method in interface org.apache.mahout.cf.taste.eval.IRStatistics
  See Recall.
getRecall() - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl
getRecommendableItemIDs(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.file.FileDiffStorage
getRecommendableItemIDs(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.AbstractJDBCDiffStorage
getRecommendableItemIDs(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.MemoryDiffStorage
getRecommendableItemIDs(long) - Method in interface org.apache.mahout.cf.taste.recommender.slopeone.DiffStorage
getRecommendedItems() - Method in class org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable
getRecord() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
getRecord() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
getRecordWriter(FileSystem, Configuration, String, Progressable) - Method in class org.apache.mahout.classifier.bayes.MultipleOutputFormat
  Create a composite record writer that can write key/value data to different output files
getRecordWriter(TaskAttemptContext) - Method in class org.apache.mahout.classifier.bayes.MultipleTextOutputFormat
getRow() - Method in class org.apache.mahout.clustering.spectral.common.VertexWritable
getRow() - Method in class org.apache.mahout.clustering.spectral.eigencuts.EigencutsSensitivityNode
getRow() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
getRow() - Method in class org.apache.mahout.math.hadoop.similarity.SimilarityMatrixEntryKey
getRowA() - Method in class org.apache.mahout.math.hadoop.similarity.WeightedRowPair
getRowB() - Method in class org.apache.mahout.math.hadoop.similarity.WeightedRowPair
getRowFromHbase(String) - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
getRowPath() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
getS0() - Method in class org.apache.mahout.clustering.AbstractCluster
getS0() - Method in class org.apache.mahout.clustering.ClusterObservations
getS1() - Method in class org.apache.mahout.clustering.AbstractCluster
getS1() - Method in class org.apache.mahout.clustering.ClusterObservations
getS2() - Method in class org.apache.mahout.clustering.AbstractCluster
getS2() - Method in class org.apache.mahout.clustering.ClusterObservations
getScore() - Method in class org.apache.mahout.classifier.ClassifierResult
getScoreForLabelFeature(int, int) - Method in class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier
getScoreForLabelFeature(int, int) - Method in class org.apache.mahout.classifier.naivebayes.ComplementaryNaiveBayesClassifier
getScoreForLabelFeature(int, int) - Method in class org.apache.mahout.classifier.naivebayes.StandardNaiveBayesClassifier
getScoreForLabelInstance(int, Vector) - Method in class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier
getSecond() - Method in class org.apache.mahout.common.IntPairWritable
getSecond() - Method in class org.apache.mahout.common.LongPair
getSecond() - Method in class org.apache.mahout.common.Pair
getSeed() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
getSeed() - Method in class org.apache.mahout.df.mapreduce.Builder
getSeed() - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
getSensitivity() - Method in class org.apache.mahout.clustering.spectral.eigencuts.EigencutsSensitivityNode
getSigmaJFromHbase(String) - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
getSigmaJSigmaK() - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
getSigmaJSigmaKFromHbase() - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
getSimilarity(FastIDSet, FastIDSet) - Method in interface org.apache.mahout.cf.taste.impl.recommender.ClusterSimilarity
getSimilarity(FastIDSet, FastIDSet) - Method in class org.apache.mahout.cf.taste.impl.recommender.FarthestNeighborClusterSimilarity
getSimilarity() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
getSimilarity() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
getSimilarity(FastIDSet, FastIDSet) - Method in class org.apache.mahout.cf.taste.impl.recommender.NearestNeighborClusterSimilarity
getSimilarityColumn() - Method in class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable
getSimilarityColumn() - Method in class org.apache.mahout.cf.taste.impl.similarity.jdbc.AbstractJDBCItemSimilarity
getSimilarityImplementationClassName() - Method in enum org.apache.mahout.math.hadoop.similarity.SimilarityType
getSimilarityTable() - Method in class org.apache.mahout.cf.taste.impl.similarity.jdbc.AbstractJDBCItemSimilarity
getSize() - Method in class org.apache.mahout.df.mapreduce.partial.Step0Job.Step0Output
getSplit() - Method in class org.apache.mahout.df.split.Split
  split value for NUMERICAL attributes
getSplits(JobContext) - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat
getSplits(Configuration, int) - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat
getStandardDeviation() - Method in class org.apache.mahout.cf.taste.impl.common.CompactRunningAverageAndStdDev
getStandardDeviation() - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverageAndStdDev
getStandardDeviation() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
getStandardDeviation() - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
getStandardDeviation() - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverageAndStdDev
getStd() - Method in interface org.apache.mahout.clustering.GaussianAccumulator
getStd() - Method in class org.apache.mahout.clustering.OnlineGaussianAccumulator
getStd() - Method in class org.apache.mahout.clustering.RunningSumsGaussianAccumulator
getStdDev() - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
getStdDev() - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModel
getStdDevTime() - Method in class org.apache.mahout.common.TimingStatistics
getStep() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
getStep() - Method in class org.apache.mahout.ep.State
getString() - Method in class org.apache.mahout.df.node.CategoricalNode
getString() - Method in class org.apache.mahout.df.node.Leaf
getString() - Method in class org.apache.mahout.df.node.MockLeaf
getString() - Method in class org.apache.mahout.df.node.Node
getString() - Method in class org.apache.mahout.df.node.NumericalNode
getString() - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram
getStringValue() - Method in class org.apache.mahout.common.parameters.AbstractParameter
getStringValue() - Method in class org.apache.mahout.common.parameters.ClassParameter
getStringValue() - Method in class org.apache.mahout.common.parameters.CompositeParameter
getStringValue() - Method in class org.apache.mahout.common.parameters.FileParameter
getStringValue() - Method in interface org.apache.mahout.common.parameters.Parameter
getStringValue() - Method in class org.apache.mahout.common.parameters.StringParameter
getSumSquaredTime() - Method in class org.apache.mahout.common.TimingStatistics
getSumTime() - Method in class org.apache.mahout.common.TimingStatistics
getT1() - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyClusterer
getT2() - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyClusterer
getTable() - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
getTableCache() - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
getTargetCategories() - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory
getTargetCategories() - Method in interface org.apache.mahout.classifier.sgd.RecordFactory
getThetaNormalizer() - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
getThreadCount() - Method in class org.apache.mahout.ep.EvolutionaryProcess
getTopicSmoothing() - Method in class org.apache.mahout.clustering.lda.LDAState
getTopItemItemSimilarities(int, Iterable<GenericItemSimilarity.ItemItemSimilarity>) - Static method in class org.apache.mahout.cf.taste.impl.recommender.TopItems
  Thanks to tsmorton for suggesting this functionality and writing part of the code.
getTopItems(int, LongPrimitiveIterator, IDRescorer, TopItems.Estimator<Long>) - Static method in class org.apache.mahout.cf.taste.impl.recommender.TopItems
getTopUsers(int, LongPrimitiveIterator, IDRescorer, TopItems.Estimator<Long>) - Static method in class org.apache.mahout.cf.taste.impl.recommender.TopItems
getTopUserUserSimilarities(int, Iterable<GenericUserSimilarity.UserUserSimilarity>) - Static method in class org.apache.mahout.cf.taste.impl.recommender.TopItems
getTotal(String) - Method in class org.apache.mahout.classifier.ConfusionMatrix
getTotalCount() - Method in class org.apache.mahout.clustering.dirichlet.DirichletCluster
getTotalSum() - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
getTotalWeight() - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
getTraceDictionary() - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory
getTraceDictionary() - Method in interface org.apache.mahout.classifier.sgd.RecordFactory
getTransformedValue(Preference) - Method in class org.apache.mahout.cf.taste.impl.transforms.InverseUserFrequency
getTransformedValue(Preference) - Method in class org.apache.mahout.cf.taste.impl.transforms.ZScore
getTransformedValue(Preference) - Method in interface org.apache.mahout.cf.taste.transforms.PreferenceTransform
getTransitionMatrix() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Getter function to get the hidden state transition matrix
getTree() - Method in class org.apache.mahout.df.mapreduce.MapredOutput
getTree(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTreeDepthCache
getTreeBuilder() - Method in class org.apache.mahout.df.mapreduce.Builder
getTreeBuilder(Configuration) - Static method in class org.apache.mahout.df.mapreduce.Builder
getTreeBuilder() - Method in class org.apache.mahout.df.mapreduce.MapredMapper
getTrees() - Method in class org.apache.mahout.df.DecisionForest
getType() - Method in class org.apache.mahout.clustering.spectral.common.VertexWritable
getType() - Method in class org.apache.mahout.df.node.CategoricalNode
getType() - Method in class org.apache.mahout.df.node.Leaf
getType() - Method in class org.apache.mahout.df.node.MockLeaf
getType() - Method in class org.apache.mahout.df.node.Node
getType() - Method in class org.apache.mahout.df.node.NumericalNode
getType() - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram
getType() - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey
getUserID() - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable
getUserID() - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.CountUsersKeyWritable
getUserID(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
getUserID() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanPreference
getUserID(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
getUserID(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
getUserID() - Method in class org.apache.mahout.cf.taste.impl.model.GenericPreference
getUserID(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
getUserID() - Method in interface org.apache.mahout.cf.taste.model.Preference
getUserID(int) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
getUserID1() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
getUserID2() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
getUserIDColumn() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
getUserIDs() - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorAndPrefsWritable
getUserIDs() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
getUserIDs() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
getUserIDs() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
getUserIDs() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
getUserIDs() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
getUserIDs() - Method in interface org.apache.mahout.cf.taste.model.DataModel
getUserInstance() - Static method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
getUserNeighborhood(long) - Method in class org.apache.mahout.cf.taste.impl.neighborhood.CachingUserNeighborhood
getUserNeighborhood(long) - Method in class org.apache.mahout.cf.taste.impl.neighborhood.NearestNUserNeighborhood
getUserNeighborhood(long) - Method in class org.apache.mahout.cf.taste.impl.neighborhood.ThresholdUserNeighborhood
getUserNeighborhood(long) - Method in interface org.apache.mahout.cf.taste.neighborhood.UserNeighborhood
getUserUserPairInstance() - Static method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
getVal() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
getValue() - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable
getValue(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
getValue() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanPreference
getValue(int) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
getValue(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
getValue() - Method in class org.apache.mahout.cf.taste.impl.model.GenericPreference
getValue(int) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
getValue() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem
getValue() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
getValue() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
getValue() - Method in interface org.apache.mahout.cf.taste.model.Preference
getValue(int) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
getValue() - Method in interface org.apache.mahout.cf.taste.recommender.RecommendedItem
  A value expressing the strength of the preference for the recommended item.
getValue() - Method in class org.apache.mahout.clustering.spectral.common.IntDoublePairWritable
getValue() - Method in class org.apache.mahout.clustering.spectral.common.VertexWritable
getValue() - Method in class org.apache.mahout.ep.State
getValueA() - Method in class org.apache.mahout.math.hadoop.similarity.Cooccurrence
getValueB() - Method in class org.apache.mahout.math.hadoop.similarity.Cooccurrence
getValues() - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorAndPrefsWritable
getVariance() - Method in interface org.apache.mahout.clustering.GaussianAccumulator
getVariance() - Method in class org.apache.mahout.clustering.OnlineGaussianAccumulator
getVariance() - Method in class org.apache.mahout.clustering.RunningSumsGaussianAccumulator
getVector() - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorAndPrefsWritable
getVector() - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable
getVector() - Method in class org.apache.mahout.clustering.WeightedVectorWritable
getVector() - Method in class org.apache.mahout.math.MultiLabelVectorWritable
getVocabCount() - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
getVocabCount() - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
getVocabCountFromHbase() - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
getWeight(String, String, String) - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
getWeight(String, String) - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
getWeight(String, String, String) - Method in class org.apache.mahout.classifier.bayes.datastore.InMemoryBayesDatastore
getWeight(String, String) - Method in class org.apache.mahout.classifier.bayes.datastore.InMemoryBayesDatastore
getWeight(String, String, String) - Method in interface org.apache.mahout.classifier.bayes.interfaces.Datastore
  Gets a double value from the Matrix pointed to by the `matrixName` from its cell pointed to by the `row` and `column` string
getWeight(String, String) - Method in interface org.apache.mahout.classifier.bayes.interfaces.Datastore
  Gets a double value from the Vector pointed to by the `vectorName` from its cell pointed to by the `index`
getWeight() - Method in class org.apache.mahout.classifier.sgd.ModelDissector.Weight
getWeight(int) - Method in class org.apache.mahout.classifier.sgd.ModelDissector.Weight
getWeight() - Method in class org.apache.mahout.clustering.WeightedVectorWritable
getWeight(byte[], double) - Method in class org.apache.mahout.vectorizer.encoders.AdaptiveWordValueEncoder
getWeight(byte[], double) - Method in class org.apache.mahout.vectorizer.encoders.ConstantValueEncoder
getWeight(byte[], double) - Method in class org.apache.mahout.vectorizer.encoders.ContinuousValueEncoder
getWeight(byte[], double) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
getWeight(byte[], byte[], double) - Method in class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder
getWeight(byte[], double) - Method in class org.apache.mahout.vectorizer.encoders.WordValueEncoder
getWeightA() - Method in class org.apache.mahout.math.hadoop.similarity.WeightedRowPair
getWeightB() - Method in class org.apache.mahout.math.hadoop.similarity.WeightedRowPair
getWeightFromHbase(String, String) - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
getWeightMatrix() - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
getWeights() - Method in class org.apache.mahout.common.distance.WeightedDistanceMeasure
getWordCounts() - Method in class org.apache.mahout.clustering.lda.LDAInference.InferredDocument
GlobalOnlineAuc - Class in org.apache.mahout.math.stats
  Computes a running estimate of AUC (see http://en.wikipedia.org/wiki/Receiver_operating_characteristic).
GlobalOnlineAuc() - Constructor for class org.apache.mahout.math.stats.GlobalOnlineAuc
Gradient - Interface in org.apache.mahout.classifier.sgd
  Provides the ability to inject a gradient into the SGD logistic regresion.
Gram - Class in org.apache.mahout.vectorizer.collocations.llr
  Writable for holding data generated from the collocation discovery jobs.
Gram() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.Gram
Gram(Gram) - Constructor for class org.apache.mahout.vectorizer.collocations.llr.Gram
  Copy constructor
Gram(String, Gram.Type) - Constructor for class org.apache.mahout.vectorizer.collocations.llr.Gram
  Create an gram with a frequency of 1
Gram(String, int, Gram.Type) - Constructor for class org.apache.mahout.vectorizer.collocations.llr.Gram
  Create a gram with the specified frequency.
Gram.Type - Enum in org.apache.mahout.vectorizer.collocations.llr
GramKey - Class in org.apache.mahout.vectorizer.collocations.llr
  A GramKey, based on the identity fields of Gram (type, string) plus a byte[] used for secondary ordering
GramKey() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.GramKey
GramKey(Gram, byte[]) - Constructor for class org.apache.mahout.vectorizer.collocations.llr.GramKey
  create a GramKey based on the specified Gram and order
GramKeyPartitioner - Class in org.apache.mahout.vectorizer.collocations.llr
  Partition GramKeys based on their Gram, ignoring the secondary sort key so that all GramKeys with the same gram are sent to the same partition.
GramKeyPartitioner() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.GramKeyPartitioner
greaterOrEquals(int, double) - Static method in class org.apache.mahout.df.data.conditions.Condition
  Condition that checks if the given attribute has a value "greater or equal" than the given value
GreaterOrEquals - Class in org.apache.mahout.df.data.conditions
  True if a given attribute has a value "greater or equal" than a given value
GreaterOrEquals(int, double) - Constructor for class org.apache.mahout.df.data.conditions.GreaterOrEquals
GroupedOnlineAuc - Class in org.apache.mahout.math.stats
  Implements a variant on AUC where the result returned is an average of several AUC measurements made on sub-groups of the overall data.
GroupedOnlineAuc() - Constructor for class org.apache.mahout.math.stats.GroupedOnlineAuc
gson() - Static method in class org.apache.mahout.classifier.sgd.ModelSerializer

## H

HadoopUtil - Class in org.apache.mahout.common
hash(String) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractIDMigrator
hash(byte[]) - Method in interface org.apache.mahout.clustering.minhash.HashFunction
hash(String, int, int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
  Hash a string and an integer into the range [0..numFeatures-1].
hash(byte[], int, int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
  Hash a byte array and an integer into the range [0..numFeatures-1].
hash(String, String, int, int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
  Hash two strings and an integer into the range [0..numFeatures-1].
hash(byte[], byte[], int, int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
  Hash two byte arrays and an integer into the range [0..numFeatures-1].
hash(String, String, String, String, int, int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
  Hash four strings and an integer into the range [0..numFeatures-1].
hash(byte[], int) - Static method in class org.apache.mahout.vectorizer.encoders.MurmurHash
  Hashes bytes in an array.
hash(byte[], int, int, int) - Static method in class org.apache.mahout.vectorizer.encoders.MurmurHash
  Hashes bytes in part of an array.
hash(ByteBuffer, int) - Static method in class org.apache.mahout.vectorizer.encoders.MurmurHash
  Hashes the bytes in a buffer from the current position to the limit.
hash64A(byte[], int) - Static method in class org.apache.mahout.vectorizer.encoders.MurmurHash
hash64A(byte[], int, int, int) - Static method in class org.apache.mahout.vectorizer.encoders.MurmurHash
hash64A(ByteBuffer, int) - Static method in class org.apache.mahout.vectorizer.encoders.MurmurHash
HASH_TYPE - Static variable in class org.apache.mahout.common.commandline.MinhashOptionCreator
hashCode() - Method in class org.apache.mahout.cf.taste.hadoop.EntityCountWritable
hashCode() - Method in class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable
hashCode() - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
hashCode() - Method in class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable
hashCode() - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.CountUsersKeyWritable
hashCode() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
hashCode() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
hashCode() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
hashCode() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
hashCode() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
hashCode() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
hashCode() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
hashCode() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem
hashCode() - Method in class org.apache.mahout.cf.taste.impl.recommender.SimilarUser
hashCode() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
hashCode() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
hashCode() - Method in class org.apache.mahout.common.IntegerTuple
hashCode() - Method in class org.apache.mahout.common.IntPairWritable.Frequency
hashCode() - Method in class org.apache.mahout.common.IntPairWritable
hashCode() - Method in class org.apache.mahout.common.IntTuple
hashCode() - Method in class org.apache.mahout.common.LongPair
hashCode() - Method in class org.apache.mahout.common.Pair
hashCode() - Method in class org.apache.mahout.common.StringTuple
hashCode() - Method in class org.apache.mahout.df.callback.ForestPredictions
hashCode() - Method in class org.apache.mahout.df.data.Data
hashCode() - Method in class org.apache.mahout.df.data.Dataset
hashCode() - Method in class org.apache.mahout.df.data.Instance
hashCode() - Method in class org.apache.mahout.df.DecisionForest
hashCode() - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
hashCode() - Method in class org.apache.mahout.df.mapreduce.MapredOutput
hashCode() - Method in class org.apache.mahout.df.mapreduce.partial.Step0Job.Step0Output
hashCode() - Method in class org.apache.mahout.df.node.CategoricalNode
hashCode() - Method in class org.apache.mahout.df.node.Leaf
hashCode() - Method in class org.apache.mahout.df.node.NumericalNode
hashCode() - Method in class org.apache.mahout.ep.State
hashCode() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
hashCode() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
hashCode() - Method in class org.apache.mahout.math.hadoop.similarity.Cooccurrence
hashCode() - Method in class org.apache.mahout.math.hadoop.similarity.SimilarityMatrixEntryKey
hashCode() - Method in class org.apache.mahout.math.hadoop.similarity.WeightedRowPair
hashCode() - Method in class org.apache.mahout.math.VarIntWritable
hashCode() - Method in class org.apache.mahout.math.VarLongWritable
hashesForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
  Returns all of the hashes for this probe.
hashesForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder
HashFactory - Class in org.apache.mahout.clustering.minhash
HashFactory.HashType - Enum in org.apache.mahout.clustering.minhash
hashForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.AdaptiveWordValueEncoder
hashForProbe(String, int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.CachingContinuousValueEncoder
hashForProbe(String, int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.CachingStaticWordValueEncoder
hashForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.ConstantValueEncoder
hashForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.ContinuousValueEncoder
hashForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
  Provides the unique hash for a particular probe.
hashForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder
hashForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.StaticWordValueEncoder
hashForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder
hashForProbe(byte[], int, String, int) - Method in class org.apache.mahout.vectorizer.encoders.WordValueEncoder
HashFunction - Interface in org.apache.mahout.clustering.minhash
hashTypeOption() - Static method in class org.apache.mahout.common.commandline.MinhashOptionCreator
  Returns a default command line option for specifying the type of hash to use in MinHash clustering: Should one out of ("linear","polynomial","murmur")
hasNext() - Method in class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
hasNext() - Method in class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator
hasNext() - Method in class org.apache.mahout.common.FileLineIterator
hasNext() - Method in class org.apache.mahout.common.iterator.ArrayIterator
hasNext() - Method in class org.apache.mahout.common.iterator.DelegatingIterator
hasNext() - Method in class org.apache.mahout.common.iterator.EmptyIterator
hasNext() - Method in class org.apache.mahout.common.iterator.PermutingIterator
hasNext() - Method in class org.apache.mahout.common.iterator.SamplingIterator
hasNext() - Method in class org.apache.mahout.common.StringRecordIterator
hasNext() - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.integer.IntegerTupleIterator
hasNext() - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.string.StringTupleIterator
hasNext() - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.TransactionIterator
hasNext() - Method in class org.apache.mahout.fpm.pfpgrowth.MultiTransactionTreeIterator
hasNext() - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree.TransactionTreeIterator
hasNext() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.DistributedMatrixIterator
hasOption(String) - Method in class org.apache.mahout.common.AbstractJob
hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractBooleanPrefJDBCDataModel
hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
hasPreferenceValues() - Method in interface org.apache.mahout.cf.taste.model.DataModel
hasPrefWithItemID(long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
hasPrefWithItemID(long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
hasPrefWithItemID(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
hasPrefWithItemID(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
hasPrefWithItemID(long) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
hasPrefWithUserID(long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
hasPrefWithUserID(long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
hasPrefWithUserID(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
hasPrefWithUserID(long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
hasPrefWithUserID(long) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
HBASE_COLUMN_FAMILY - Static variable in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesConstants
HBASE_COUNTS_ROW - Static variable in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesConstants
HBaseBayesDatastore - Class in org.apache.mahout.classifier.bayes.datastore
  Class implementing the Datastore for Algorithms to read HBase based model
HBaseBayesDatastore(String, Parameters) - Constructor for class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
help(Parametered) - Static method in class org.apache.mahout.common.parameters.Parametered.ParameteredGeneralizations
helpOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for help.
HISTORY - Static variable in class org.apache.mahout.math.stats.GlobalOnlineAuc
HmmAlgorithms - Class in org.apache.mahout.classifier.sequencelearning.hmm
  Class containing implementations of the three major HMM algorithms: forward, backward and Viterbi
HmmEvaluator - Class in org.apache.mahout.classifier.sequencelearning.hmm
  The HMMEvaluator class offers several methods to evaluate an HMM Model.
HmmModel - Class in org.apache.mahout.classifier.sequencelearning.hmm
  Main class defining a Hidden Markov Model
HmmModel(int, int, long) - Constructor for class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Construct a valid random Hidden-Markov parameter set with the given number of hidden and output states using a given seed.
HmmModel(int, int) - Constructor for class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Construct a valid random Hidden-Markov parameter set with the given number of hidden and output states.
HmmModel(Matrix, Matrix, Vector) - Constructor for class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Generates a Hidden Markov model using the specified parameters
HmmTrainer - Class in org.apache.mahout.classifier.sequencelearning.hmm
  Class containing several algorithms used to train a Hidden Markov Model.
HmmUtils - Class in org.apache.mahout.classifier.sequencelearning.hmm
  A collection of utilities for handling HMMModel objects.
HybridCache<K,V> - Class in org.apache.mahout.common.cache
HybridCache(int, int) - Constructor for class org.apache.mahout.common.cache.HybridCache

## I

identicalLabel() - Method in class org.apache.mahout.df.data.Data
  checks if all the vectors have identical label values
identity() - Static method in class org.apache.mahout.ep.Mapping
  Maps results to themselves.
IDMigrator - Interface in org.apache.mahout.cf.taste.model
  Mahout 0.2 changed the framework to operate only in terms of numeric (long) ID values for users and items.
IDRescorer - Interface in org.apache.mahout.cf.taste.recommender
  A `Rescorer` which operates on `long` primitive IDs, rather than arbitrary `Object`s.
idToIndex(long) - Static method in class org.apache.mahout.cf.taste.hadoop.TasteHadoopUtils
  Maps a long to an int
IgSplit - Class in org.apache.mahout.df.split
  Computes the best split using the Information Gain measure
IgSplit() - Constructor for class org.apache.mahout.df.split.IgSplit
importEvaluations(FileSystem, Configuration, Path, List<Double>) - Static method in class org.apache.mahout.ga.watchmaker.OutputUtils
  Reads back the evaluations.
includeBiasTerm(boolean) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory
includeBiasTerm(boolean) - Method in interface org.apache.mahout.classifier.sgd.RecordFactory
incrementCombinerState() - Method in class org.apache.mahout.clustering.ClusterObservations
incrementCount(String, String, int) - Method in class org.apache.mahout.classifier.ConfusionMatrix
incrementCount(String, String) - Method in class org.apache.mahout.classifier.ConfusionMatrix
incrementFrequency(int) - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram
incrementToken() - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureMapper.IteratorTokenStream
incrementToken() - Method in class org.apache.mahout.vectorizer.collocations.llr.CollocMapper.IteratorTokenStream
indexof(Instance) - Method in class org.apache.mahout.df.data.Data
infer(Vector) - Method in class org.apache.mahout.clustering.lda.LDAInference
  Performs inference on the given document, returning an InferredDocument.
inferPreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.AveragingPreferenceInferrer
inferPreference(long, long) - Method in interface org.apache.mahout.cf.taste.similarity.PreferenceInferrer
  Infers the given user's preference value for an item.
initCounts(Data, double[]) - Method in class org.apache.mahout.df.split.OptIgSplit
  Instantiates the counting arrays
INITIAL_CLUSTERS_DIR - Static variable in interface org.apache.mahout.clustering.Cluster
initialize(Iterable<String>) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator
initialize(Iterable<String>) - Method in class org.apache.mahout.cf.taste.impl.model.MemoryIDMigrator
initialize(Iterable<String>) - Method in interface org.apache.mahout.cf.taste.model.UpdatableIDMigrator
  Make the mapping aware of the given string IDs.
initialize(Datastore) - Method in class org.apache.mahout.classifier.bayes.algorithm.BayesAlgorithm
initialize(Datastore) - Method in class org.apache.mahout.classifier.bayes.algorithm.CBayesAlgorithm
initialize() - Method in class org.apache.mahout.classifier.bayes.datastore.HBaseBayesDatastore
initialize() - Method in class org.apache.mahout.classifier.bayes.datastore.InMemoryBayesDatastore
initialize(Datastore) - Method in interface org.apache.mahout.classifier.bayes.interfaces.Algorithm
  Initialize the data store and verifies the data in it.
initialize() - Method in interface org.apache.mahout.classifier.bayes.interfaces.Datastore
  Initializes the and loads the model into memory/cache if necessary
initialize() - Method in class org.apache.mahout.classifier.bayes.model.ClassifierContext
  Initializes the Context.
initialize(InputSplit, TaskAttemptContext) - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader
initRandom(InMemInputFormat.InMemInputSplit) - Method in class org.apache.mahout.df.mapreduce.inmem.InMemMapper
InMemBuilder - Class in org.apache.mahout.df.mapreduce.inmem
  MapReduce implementation where each mapper loads a full copy of the data in-memory.
InMemBuilder(TreeBuilder, Path, Path, Long, Configuration) - Constructor for class org.apache.mahout.df.mapreduce.inmem.InMemBuilder
InMemBuilder(TreeBuilder, Path, Path) - Constructor for class org.apache.mahout.df.mapreduce.inmem.InMemBuilder
InMemInputFormat - Class in org.apache.mahout.df.mapreduce.inmem
  Custom InputFormat that generates InputSplits given the desired number of trees.
  each input split contains a subset of the trees.
  The number of splits is equal to the number of requested splits
InMemInputFormat() - Constructor for class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat
InMemInputFormat.InMemInputSplit - Class in org.apache.mahout.df.mapreduce.inmem
  Custom InputSplit that indicates how many trees are built by each mapper
InMemInputFormat.InMemInputSplit() - Constructor for class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
InMemInputFormat.InMemInputSplit(int, int, Long) - Constructor for class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
InMemInputFormat.InMemRecordReader - Class in org.apache.mahout.df.mapreduce.inmem
InMemInputFormat.InMemRecordReader(InMemInputFormat.InMemInputSplit) - Constructor for class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader
InMemMapper - Class in org.apache.mahout.df.mapreduce.inmem
  In-memory mapper that grows the trees using a full copy of the data loaded in-memory.
InMemMapper() - Constructor for class org.apache.mahout.df.mapreduce.inmem.InMemMapper
InMemoryBayesDatastore - Class in org.apache.mahout.classifier.bayes.datastore
  Class implementing the Datastore for Algorithms to read In-Memory model
InMemoryBayesDatastore(Parameters) - Constructor for class org.apache.mahout.classifier.bayes.datastore.InMemoryBayesDatastore
INPUT - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
INPUT_IS_CANOPIES_OPTION - Static variable in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyDriver
INPUT_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
INPUT_VECTOR - Static variable in class org.apache.mahout.math.hadoop.TimesSquaredJob
inputOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for input directory specification.
insert(Pattern) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
Instance - Class in org.apache.mahout.df.data
  Represents one data instance.
Instance(int, Vector, int) - Constructor for class org.apache.mahout.df.data.Instance
IntDoublePairWritable - Class in org.apache.mahout.clustering.spectral.common
  This class is a Writable implementation of the mahout.common.Pair generic class.
IntDoublePairWritable() - Constructor for class org.apache.mahout.clustering.spectral.common.IntDoublePairWritable
IntDoublePairWritable(int, double) - Constructor for class org.apache.mahout.clustering.spectral.common.IntDoublePairWritable
integerAt(int) - Method in class org.apache.mahout.common.IntegerTuple
  Fetches the string at the given location
IntegerParameter - Class in org.apache.mahout.common.parameters
IntegerParameter(String, String, JobConf, int, String) - Constructor for class org.apache.mahout.common.parameters.IntegerParameter
IntegerStringOutputConverter - Class in org.apache.mahout.fpm.pfpgrowth.convertors.integer
  Collects the Patterns with Integer id and Long support and converts them to Pattern of Strings based on a reverse feature lookup map.
IntegerStringOutputConverter(OutputCollector<Text, TopKStringPatterns>, List<String>) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.integer.IntegerStringOutputConverter
IntegerTuple - Class in org.apache.mahout.common
  An Ordered List of Integers which can be used in a Hadoop Map/Reduce Job
IntegerTuple() - Constructor for class org.apache.mahout.common.IntegerTuple
IntegerTuple(Integer) - Constructor for class org.apache.mahout.common.IntegerTuple
IntegerTuple(Iterable<Integer>) - Constructor for class org.apache.mahout.common.IntegerTuple
IntegerTuple(Integer[]) - Constructor for class org.apache.mahout.common.IntegerTuple
IntegerTupleIterator - Class in org.apache.mahout.fpm.pfpgrowth.convertors.integer
  Iterates over an integer tuple and output it as a list
IntegerTupleIterator(Iterator<IntegerTuple>) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.integer.IntegerTupleIterator
InteractionValueEncoder - Class in org.apache.mahout.vectorizer.encoders
InteractionValueEncoder(String, FeatureVectorEncoder, FeatureVectorEncoder) - Constructor for class org.apache.mahout.vectorizer.encoders.InteractionValueEncoder
intern(String) - Method in class org.apache.mahout.vectorizer.encoders.Dictionary
InterResults - Class in org.apache.mahout.df.mapreduce.partial
  Stores/Loads the intermediate results of step1 needed by step2.
  This class should not be needed outside of the partial package, so all its methods are protected.
intersectionSize(FastIDSet) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
  Convenience method to quickly compute just the size of the intersection with another .
IntPairWritable - Class in org.apache.mahout.common
  A `WritableComparable` which encapsulates an ordered pair of signed integers.
IntPairWritable() - Constructor for class org.apache.mahout.common.IntPairWritable
IntPairWritable(IntPairWritable) - Constructor for class org.apache.mahout.common.IntPairWritable
IntPairWritable(int, int) - Constructor for class org.apache.mahout.common.IntPairWritable
IntPairWritable.Comparator - Class in org.apache.mahout.common
IntPairWritable.Comparator() - Constructor for class org.apache.mahout.common.IntPairWritable.Comparator
IntPairWritable.FirstGroupingComparator - Class in org.apache.mahout.common
  Compare only the first part of the pair, so that reduce is called once for each value of the first part.
IntPairWritable.FirstGroupingComparator() - Constructor for class org.apache.mahout.common.IntPairWritable.FirstGroupingComparator
IntPairWritable.Frequency - Class in org.apache.mahout.common
  A wrapper class that associates pairs with frequency (Occurences)
IntPairWritable.Frequency(IntPairWritable, double) - Constructor for class org.apache.mahout.common.IntPairWritable.Frequency
IntTuple - Class in org.apache.mahout.common
  An Ordered List of Integers which can be used in a Hadoop Map/Reduce Job
IntTuple() - Constructor for class org.apache.mahout.common.IntTuple
IntTuple(int) - Constructor for class org.apache.mahout.common.IntTuple
IntTuple(Iterable<Integer>) - Constructor for class org.apache.mahout.common.IntTuple
IntTuple(int[]) - Constructor for class org.apache.mahout.common.IntTuple
InvalidDatastoreException - Exception in org.apache.mahout.classifier.bayes.exceptions
  Exception thrown when illegal access is done on the datastore or when the backend storage goes down.
InvalidDatastoreException() - Constructor for exception org.apache.mahout.classifier.bayes.exceptions.InvalidDatastoreException
InvalidDatastoreException(String) - Constructor for exception org.apache.mahout.classifier.bayes.exceptions.InvalidDatastoreException
InverseUserFrequency - Class in org.apache.mahout.cf.taste.impl.transforms
  Implements an "inverse user frequency" transformation, which boosts preference values for items for which few users have expressed a preference, and reduces preference values for items for which many users have expressed a preference.
InverseUserFrequency(DataModel, double) - Constructor for class org.apache.mahout.cf.taste.impl.transforms.InverseUserFrequency
  Creates a transformation.
InvertedRunningAverage - Class in org.apache.mahout.cf.taste.impl.common
InvertedRunningAverage(RunningAverage) - Constructor for class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage
InvertedRunningAverageAndStdDev - Class in org.apache.mahout.cf.taste.impl.common
InvertedRunningAverageAndStdDev(RunningAverageAndStdDev) - Constructor for class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
IOUtils - Class in org.apache.mahout.common
  I/O-related utility methods that don't have a better home.
IRStatistics - Interface in org.apache.mahout.cf.taste.eval
  Implementations encapsulate information retrieval-related statistics about a `Recommender`'s recommendations.
IRStatisticsImpl - Class in org.apache.mahout.cf.taste.impl.eval
IS_SPARSE_OUTPUT - Static variable in class org.apache.mahout.math.hadoop.TimesSquaredJob
isCategorical() - Method in enum org.apache.mahout.df.data.Dataset.Attribute
isConverged() - Method in class org.apache.mahout.clustering.kmeans.Cluster
isEmpty() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
isEmpty() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
isEmpty() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
isEmpty() - Method in class org.apache.mahout.df.data.Data
isEmpty() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
isFiltered(T) - Method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
isFiltered(long) - Method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
isFiltered(long) - Method in interface org.apache.mahout.cf.taste.recommender.IDRescorer
  Returns `true` to exclude the given thing.
isFiltered(T) - Method in interface org.apache.mahout.cf.taste.recommender.Rescorer
  Returns `true` to exclude the given thing.
isFull() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
isIdentical() - Method in class org.apache.mahout.df.data.Data
  checks if all the vectors have identical attribute values
isIgnored() - Method in enum org.apache.mahout.df.data.Dataset.Attribute
isLabel() - Method in enum org.apache.mahout.df.data.Dataset.Attribute
isNatural() - Method in class org.apache.mahout.ga.watchmaker.MahoutFitnessEvaluator
isNoOutput() - Method in class org.apache.mahout.df.mapreduce.MapredMapper
isNumerical() - Method in enum org.apache.mahout.df.data.Dataset.Attribute
isNumerical(int) - Method in class org.apache.mahout.df.data.Dataset
  Is this a numerical attribute ?
isOobEstimate(Configuration) - Static method in class org.apache.mahout.df.mapreduce.Builder
isOobEstimate() - Method in class org.apache.mahout.df.mapreduce.MapredMapper
isOutput(Configuration) - Static method in class org.apache.mahout.df.mapreduce.Builder
  Used only for DEBUG purposes.
isProbabilityScore() - Method in class org.apache.mahout.classifier.evaluation.Auc
isSealed() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
isSplitable(JobContext, Path) - Method in class org.apache.mahout.df.mapreduce.Classifier.CTextInputFormat
isStep2(Configuration) - Static method in class org.apache.mahout.df.mapreduce.partial.PartialBuilder
  Indicates if we should run the second step of the builder.
  This parameter is only meant for debuging, so we keep it protected.
isSubPatternOf(Pattern) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
isTraceEnabled() - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
isTreeEmpty() - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
isTrueFor(Instance) - Method in class org.apache.mahout.df.data.conditions.Condition
  Returns true is the checked instance matches the condition
isTrueFor(Instance) - Method in class org.apache.mahout.df.data.conditions.Equals
isTrueFor(Instance) - Method in class org.apache.mahout.df.data.conditions.GreaterOrEquals
isTrueFor(Instance) - Method in class org.apache.mahout.df.data.conditions.Lesser
isWrapperFor(Class<?>) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.ConnectionPoolDataSource
isWritesLaxPrecision() - Method in class org.apache.mahout.math.VectorWritable
ItemAverageRecommender - Class in org.apache.mahout.cf.taste.impl.recommender
  A simple recommender that always estimates preference for an item to be the average of all known preference values for that item.
ItemAverageRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.ItemAverageRecommender
ItemBasedRecommender - Interface in org.apache.mahout.cf.taste.recommender
  Interface implemented by "item-based" recommenders.
ItemFilterAsVectorAndPrefsReducer - Class in org.apache.mahout.cf.taste.hadoop.item
  we use a neat little trick to explicitly filter items for some users: we inject a NaN summand into the preference estimation for those items, which makes `AggregateAndRecommendReducer` automatically exclude them
ItemFilterAsVectorAndPrefsReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.ItemFilterAsVectorAndPrefsReducer
ItemFilterMapper - Class in org.apache.mahout.cf.taste.hadoop.item
  map out all user/item pairs to filter, keyed by the itemID
ItemFilterMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.ItemFilterMapper
ItemIDIndexMapper - Class in org.apache.mahout.cf.taste.hadoop.item
ItemIDIndexMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.ItemIDIndexMapper
ItemIDIndexReducer - Class in org.apache.mahout.cf.taste.hadoop.item
ItemIDIndexReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.ItemIDIndexReducer
itemSimilarities(long, long[]) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingItemSimilarity
itemSimilarities(long, long[]) - Method in class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity
itemSimilarities(long, long[]) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity
itemSimilarities(long, long[]) - Method in class org.apache.mahout.cf.taste.impl.similarity.jdbc.AbstractJDBCItemSimilarity
itemSimilarities(long, long[]) - Method in class org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity
itemSimilarities(long, long[]) - Method in class org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity
itemSimilarities(long, long[]) - Method in interface org.apache.mahout.cf.taste.similarity.ItemSimilarity
  A bulk-get version of `ItemSimilarity.itemSimilarity(long, long)`.
itemSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingItemSimilarity
itemSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity
itemSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity
  Returns the similarity between two items.
itemSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.jdbc.AbstractJDBCItemSimilarity
itemSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity
itemSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity
ItemSimilarity - Interface in org.apache.mahout.cf.taste.similarity
  Implementations of this interface define a notion of similarity between two items.
itemSimilarity(long, long) - Method in interface org.apache.mahout.cf.taste.similarity.ItemSimilarity
  Returns the degree of similarity, of two items, based on the preferences that users have expressed for the items.
ItemSimilarityJob - Class in org.apache.mahout.cf.taste.hadoop.similarity.item
  Distributed precomputation of the item-item-similarities for Itembased Collaborative Filtering
ItemSimilarityJob() - Constructor for class org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob
ItemUserAverageRecommender - Class in org.apache.mahout.cf.taste.impl.recommender
  Like `ItemAverageRecommender`, except that estimated preferences are adjusted for the users' average preference value.
ItemUserAverageRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.ItemUserAverageRecommender
iterableToList(Iterable<K>) - Static method in class org.apache.mahout.common.iterator.IteratorUtils
iterableToList(Iterable<K>, Comparator<K>) - Static method in class org.apache.mahout.common.iterator.IteratorUtils
iterate(Iterable<MeanShiftCanopy>, boolean[]) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyClusterer
iterateAll() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
iterator() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
iterator() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
iterator() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
iterator() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
iterator() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
iterator() - Method in class org.apache.mahout.common.FileLineIterable
iterator() - Method in class org.apache.mahout.common.iterator.ArrayIterator
iterator() - Method in class org.apache.mahout.common.iterator.EmptyIterable
iterator() - Method in class org.apache.mahout.common.iterator.IteratorIterable
iterator() - Method in class org.apache.mahout.common.iterator.SamplingIterable
iterator() - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.string.TopKStringPatterns
iterator() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
IteratorIterable<T> - Class in org.apache.mahout.common.iterator
  Simple utility class that makes an `Iterator` `Iterable` by returning the `Iterator` itself.
IteratorIterable(Iterator<T>) - Constructor for class org.apache.mahout.common.iterator.IteratorIterable
  Constructs an for an `Iterator`.
IteratorUtils - Class in org.apache.mahout.common.iterator
  `Iterator`-related methods without a better home.

## J

JDBCDataModel - Interface in org.apache.mahout.cf.taste.model
job() - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
JobExecutor - Class in org.apache.mahout.classifier.bayes.mapreduce.common
  Base class for executing the Bayes Map/Reduce Jobs
JsonClusterAdapter - Class in org.apache.mahout.clustering.dirichlet
JsonClusterAdapter() - Constructor for class org.apache.mahout.clustering.dirichlet.JsonClusterAdapter
JsonClusterModelAdapter - Class in org.apache.mahout.clustering.dirichlet
JsonClusterModelAdapter() - Constructor for class org.apache.mahout.clustering.dirichlet.JsonClusterModelAdapter
JsonDistanceMeasureAdapter - Class in org.apache.mahout.clustering
JsonDistanceMeasureAdapter() - Constructor for class org.apache.mahout.clustering.JsonDistanceMeasureAdapter
JsonModelAdapter - Class in org.apache.mahout.clustering
JsonModelAdapter() - Constructor for class org.apache.mahout.clustering.JsonModelAdapter
JsonModelDistributionAdapter - Class in org.apache.mahout.clustering
JsonModelDistributionAdapter() - Constructor for class org.apache.mahout.clustering.JsonModelDistributionAdapter

## K

K - Static variable in class org.apache.mahout.clustering.kmeans.RandomSeedGenerator
KEY_GROUPS - Static variable in class org.apache.mahout.common.commandline.MinhashOptionCreator
keyFor(String) - Static method in class org.apache.mahout.common.AbstractJob
  Build the option key (--name) from the option name
keyGroupsOption() - Static method in class org.apache.mahout.common.commandline.MinhashOptionCreator
  Returns a default command line option for specifying the number of key groups to be used in MinHash clustering
keySet() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
keySetIterator() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
KMeansClusterer - Class in org.apache.mahout.clustering.kmeans
  This class implements the k-means clustering algorithm.
KMeansClusterer(DistanceMeasure) - Constructor for class org.apache.mahout.clustering.kmeans.KMeansClusterer
  Init the k-means clusterer with the distance measure to use for comparison.
KMeansClusterer(Configuration) - Constructor for class org.apache.mahout.clustering.kmeans.KMeansClusterer
KMeansClusterMapper - Class in org.apache.mahout.clustering.kmeans
KMeansClusterMapper() - Constructor for class org.apache.mahout.clustering.kmeans.KMeansClusterMapper
KMeansCombiner - Class in org.apache.mahout.clustering.kmeans
KMeansCombiner() - Constructor for class org.apache.mahout.clustering.kmeans.KMeansCombiner
KMeansConfigKeys - Interface in org.apache.mahout.clustering.kmeans
  This class holds all config keys that are relevant to be used in the KMeans MapReduce JobConf.
KMeansDriver - Class in org.apache.mahout.clustering.kmeans
KMeansDriver() - Constructor for class org.apache.mahout.clustering.kmeans.KMeansDriver
KMeansMapper - Class in org.apache.mahout.clustering.kmeans
KMeansMapper() - Constructor for class org.apache.mahout.clustering.kmeans.KMeansMapper
KMeansReducer - Class in org.apache.mahout.clustering.kmeans
KMeansReducer() - Constructor for class org.apache.mahout.clustering.kmeans.KMeansReducer
KnnItemBasedRecommender - Class in org.apache.mahout.cf.taste.impl.recommender.knn
  The weights to compute the final predicted preferences are calculated using linear interpolation, through an `Optimizer`.
KnnItemBasedRecommender(DataModel, ItemSimilarity, Optimizer, CandidateItemsStrategy, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.knn.KnnItemBasedRecommender
KnnItemBasedRecommender(DataModel, ItemSimilarity, Optimizer, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.knn.KnnItemBasedRecommender

## L

L1 - Class in org.apache.mahout.classifier.sgd
  Implements the Laplacian or bi-exponential prior.
L1() - Constructor for class org.apache.mahout.classifier.sgd.L1
L1Model - Class in org.apache.mahout.clustering.dirichlet.models
L1Model() - Constructor for class org.apache.mahout.clustering.dirichlet.models.L1Model
L1Model(int, Vector) - Constructor for class org.apache.mahout.clustering.dirichlet.models.L1Model
L1ModelDistribution - Class in org.apache.mahout.clustering.dirichlet.models
  An implementation of the ModelDistribution interface suitable for testing the DirichletCluster algorithm.
L1ModelDistribution(VectorWritable) - Constructor for class org.apache.mahout.clustering.dirichlet.models.L1ModelDistribution
L1ModelDistribution() - Constructor for class org.apache.mahout.clustering.dirichlet.models.L1ModelDistribution
L2 - Class in org.apache.mahout.classifier.sgd
  Implements the Gaussian prior.
L2(double) - Constructor for class org.apache.mahout.classifier.sgd.L2
LABEL_COUNT - Static variable in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesConstants
LABEL_MAP - Static variable in class org.apache.mahout.classifier.naivebayes.trainer.NaiveBayesTrainer
LABEL_SUM - Static variable in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesConstants
LABEL_SUM - Static variable in class org.apache.mahout.classifier.naivebayes.BayesConstants
LABEL_THETA_NORMALIZER - Static variable in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesConstants
LABEL_THETA_NORMALIZER - Static variable in class org.apache.mahout.classifier.naivebayes.BayesConstants
labelCode(String) - Method in class org.apache.mahout.df.data.Dataset
  Returns the code used to represent the label value in the data
labels() - Method in class org.apache.mahout.df.data.Dataset
lambda(double) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
  Chainable configuration option.
lambda(double) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
lambda(double) - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
LDADriver - Class in org.apache.mahout.clustering.lda
  Estimates an LDA model from a corpus of documents, which are SparseVectors of word counts.
LDAInference - Class in org.apache.mahout.clustering.lda
  Class for performing infererence on a document, which involves computing (an approximation to) p(word|topic) for each word and topic, and a prior distribution p(topic) for each topic.
LDAInference(LDAState) - Constructor for class org.apache.mahout.clustering.lda.LDAInference
LDAInference.InferredDocument - Class in org.apache.mahout.clustering.lda
  An estimate of the probabilitys for each document.
LDAMapper - Class in org.apache.mahout.clustering.lda
  Runs inference on the input documents (which are sparse vectors of word counts) and outputs the sufficient statistics for the word-topic assignments.
LDAMapper() - Constructor for class org.apache.mahout.clustering.lda.LDAMapper
LDAReducer - Class in org.apache.mahout.clustering.lda
  A very simple reducer which simply logSums the input doubles and outputs a new double for sufficient statistics, and sums log likelihoods.
LDAReducer() - Constructor for class org.apache.mahout.clustering.lda.LDAReducer
LDAState - Class in org.apache.mahout.clustering.lda
LDAState(int, int, double, Matrix, double[], double) - Constructor for class org.apache.mahout.clustering.lda.LDAState
Leaf - Class in org.apache.mahout.df.node
  Represents a Leaf node
Leaf() - Constructor for class org.apache.mahout.df.node.Leaf
Leaf(int) - Constructor for class org.apache.mahout.df.node.Leaf
learningRate(double) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
learningRate(double) - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
  Chainable configuration option.
LeastKCache<K extends java.lang.Comparable<? super K>,V> - Class in org.apache.mahout.common.cache
LeastKCache(int) - Constructor for class org.apache.mahout.common.cache.LeastKCache
leastSupport() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FrequentPatternMaxHeap
length() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
length() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
length() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
length() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
length() - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
length() - Method in class org.apache.mahout.common.IntegerTuple
  Returns the length of the tuple
length() - Method in class org.apache.mahout.common.IntTuple
  Returns the length of the tuple
length() - Method in class org.apache.mahout.common.StringTuple
  Returns the length of the tuple
length() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
lesser(int, double) - Static method in class org.apache.mahout.df.data.conditions.Condition
  Condition that checks if the given attribute has a value "lesser" than the given value
Lesser - Class in org.apache.mahout.df.data.conditions
  True if a given attribute has a value "lesser" than a given value
Lesser(int, double) - Constructor for class org.apache.mahout.df.data.conditions.Lesser
LFUCache<K,V> - Class in org.apache.mahout.common.cache
LFUCache(int) - Constructor for class org.apache.mahout.common.cache.LFUCache
LinearModel - Class in org.apache.mahout.classifier.discriminative
  Classifies a data point using a hyperplane.
LinearModel(Vector, double, double) - Constructor for class org.apache.mahout.classifier.discriminative.LinearModel
  Init a linear model with a hyperplane, distance and displacement.
LinearModel(Vector) - Constructor for class org.apache.mahout.classifier.discriminative.LinearModel
  Init a linear model with zero displacement and a threshold of 0.5.
LinearTrainer - Class in org.apache.mahout.classifier.discriminative
  Implementors of this class need to provide a way to train linear discriminative classifiers.
LinearTrainer(int, double, double, double) - Constructor for class org.apache.mahout.classifier.discriminative.LinearTrainer
  Initialize the trainer.
link(Vector) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
  Computes the inverse link function, by default the logistic link function.
link(double) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
  Computes the binomial logistic inverse link function.
listEnumNames() - Static method in enum org.apache.mahout.math.hadoop.similarity.SimilarityType
listOutputFiles(FileSystem, Path) - Static method in class org.apache.mahout.df.DFUtils
  Return a list of all files in the output directory
listOutputFiles(FileSystem, Path) - Static method in class org.apache.mahout.ga.watchmaker.OutputUtils
  Lists all files in the output `Path`
LLRReducer - Class in org.apache.mahout.vectorizer.collocations.llr
  Reducer for pass 2 of the collocation discovery job.
LLRReducer() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.LLRReducer
LLRReducer.ConcreteLLCallback - Class in org.apache.mahout.vectorizer.collocations.llr
  concrete implementation delegates to LogLikelihood class
LLRReducer.ConcreteLLCallback() - Constructor for class org.apache.mahout.vectorizer.collocations.llr.LLRReducer.ConcreteLLCallback
LLRReducer.LLCallback - Interface in org.apache.mahout.vectorizer.collocations.llr
  provide interface so the input to the llr calculation can be captured for validation in unit testing
LLRReducer.Skipped - Enum in org.apache.mahout.vectorizer.collocations.llr
  Counter to track why a particlar entry was skipped
load(Writable, Configuration) - Static method in class org.apache.mahout.clustering.spectral.common.VectorCache
  Loads the vector with the specified key from the cache.
load(Writable, Configuration, Path) - Static method in class org.apache.mahout.clustering.spectral.common.VectorCache
  Loads a Vector from the specified path
load(Configuration, Path) - Static method in class org.apache.mahout.df.data.Dataset
  Loads the dataset from a file
load(Configuration, Path) - Static method in class org.apache.mahout.df.DecisionForest
  Load the forest from a single file or a directory of files
load(FileSystem, Path, int, int, int, TreeID[], Node[]) - Static method in class org.apache.mahout.df.mapreduce.partial.InterResults
  Load the trees and the keys returned from the first step
loadClusters(Configuration, Path) - Static method in class org.apache.mahout.clustering.dirichlet.DirichletClusterMapper
loadData(Dataset, FileSystem, Path) - Static method in class org.apache.mahout.df.data.DataLoader
  Loads the data from a file
loadData(Dataset, String[]) - Static method in class org.apache.mahout.df.data.DataLoader
  Loads the data from a String array
loadDataset(Configuration) - Static method in class org.apache.mahout.df.mapreduce.Builder
  Helper method.
LoadEvaluator - Class in org.apache.mahout.cf.taste.impl.eval
  Simple helper class for running load on a Recommender.
loadFeatureWeight(String, String, double) - Method in class org.apache.mahout.classifier.bayes.datastore.InMemoryBayesDatastore
loadFeatureWeights(InMemoryBayesDatastore, FileSystem, Path, Configuration) - Static method in class org.apache.mahout.classifier.bayes.io.SequenceFileModelReader
loadJsonFrom(Reader, Class<? extends AbstractVectorClassifier>) - Static method in class org.apache.mahout.classifier.sgd.ModelSerializer
  Reads a model in JSON format.
loadLabelWeights(InMemoryBayesDatastore, FileSystem, Path, Configuration) - Static method in class org.apache.mahout.classifier.bayes.io.SequenceFileModelReader
loadModel(InMemoryBayesDatastore, FileSystem, Parameters, Configuration) - Static method in class org.apache.mahout.classifier.bayes.io.SequenceFileModelReader
loadState(Configuration, String, ModelDistribution<VectorWritable>, double, int) - Static method in class org.apache.mahout.clustering.dirichlet.DirichletMapper
loadSumWeight(InMemoryBayesDatastore, FileSystem, Path, Configuration) - Static method in class org.apache.mahout.classifier.bayes.io.SequenceFileModelReader
loadThetaNormalizer(InMemoryBayesDatastore, FileSystem, Path, Configuration) - Static method in class org.apache.mahout.classifier.bayes.io.SequenceFileModelReader
loadWeightMatrix(InMemoryBayesDatastore, FileSystem, Path, Configuration) - Static method in class org.apache.mahout.classifier.bayes.io.SequenceFileModelReader
log - Static variable in interface org.apache.mahout.common.parameters.Parametered
LOG2 - Static variable in class org.apache.mahout.df.split.IgSplit
LOG_NORMALIZE - Static variable in class org.apache.mahout.vectorizer.common.PartialVectorMerger
logLikelihood(int, Vector) - Method in class org.apache.mahout.classifier.AbstractVectorClassifier
  Returns a measure of how good the classification for a particular example actually is.
logLikelihood() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
logLikelihoodRatio(int, int, int, int) - Method in class org.apache.mahout.vectorizer.collocations.llr.LLRReducer.ConcreteLLCallback
logLikelihoodRatio(int, int, int, int) - Method in interface org.apache.mahout.vectorizer.collocations.llr.LLRReducer.LLCallback
LogLikelihoodSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
  See http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.5962 and http://tdunning.blogspot.com/2008/03/surprise-and-coincidence.html.
LogLikelihoodSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity
logLimit(double, double) - Static method in class org.apache.mahout.ep.Mapping
  Maps input to positive values in the open interval (min, max) with 0 going to the geometric mean.
logP(double) - Method in class org.apache.mahout.classifier.sgd.ElasticBandPrior
logP(double) - Method in class org.apache.mahout.classifier.sgd.L1
logP(double) - Method in class org.apache.mahout.classifier.sgd.L2
logP(double) - Method in interface org.apache.mahout.classifier.sgd.PriorFunction
  Returns the log of the probability of a particular coefficient value according to the prior.
logP(double) - Method in class org.apache.mahout.classifier.sgd.TPrior
logP(double) - Method in class org.apache.mahout.classifier.sgd.UniformPrior
logProbWordGivenTopic(int, int) - Method in class org.apache.mahout.clustering.lda.LDAState
longIteratorToList(LongPrimitiveIterator) - Static method in class org.apache.mahout.common.iterator.IteratorUtils
LongPair - Class in org.apache.mahout.common
  A simple (ordered) pair of longs.
LongPair(long, long) - Constructor for class org.apache.mahout.common.LongPair
LongPrimitiveArrayIterator - Class in org.apache.mahout.cf.taste.impl.common
  While long[] is an Iterable, it is not an Iterable<Long>.
LongPrimitiveArrayIterator(long[]) - Constructor for class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
  Creates an over an entire array.
LongPrimitiveIterator - Interface in org.apache.mahout.cf.taste.impl.common
  Adds notion of iterating over `long` primitives in the style of an `Iterator` -- as opposed to iterating over `Long`.
lookupDataSource(String) - Static method in class org.apache.mahout.cf.taste.impl.common.jdbc.AbstractJDBCComponent
  Looks up a `DataSource` by name from JNDI.
LRUCache<K,V> - Class in org.apache.mahout.common.cache
LRUCache(int) - Constructor for class org.apache.mahout.common.cache.LRUCache
LuceneTextValueEncoder - Class in org.apache.mahout.vectorizer.encoders
  Encodes text using a lucene style tokenizer.
LuceneTextValueEncoder(String) - Constructor for class org.apache.mahout.vectorizer.encoders.LuceneTextValueEncoder

## M

M_KEY - Static variable in interface org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansConfigKeys
M_OPTION - Static variable in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver
MahalanobisDistanceMeasure - Class in org.apache.mahout.common.distance
MahalanobisDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
MAHOUT_GA_EVALUATOR - Static variable in class org.apache.mahout.ga.watchmaker.EvalMapper
  Parameter used to store the "stringified" evaluator
MahoutDriver - Class in org.apache.mahout.driver
  General-purpose driver class for Mahout programs.
MahoutEvaluator - Class in org.apache.mahout.ga.watchmaker
  Generic Mahout distributed evaluator.
MahoutFitnessEvaluator<T> - Class in org.apache.mahout.ga.watchmaker
  Watchmaker compatible Fitness Evaluator that delegates the evaluation of the whole population to Mahout.
MahoutFitnessEvaluator(FitnessEvaluator<? super T>) - Constructor for class org.apache.mahout.ga.watchmaker.MahoutFitnessEvaluator
main(String[]) - Static method in class org.apache.mahout.cf.taste.hadoop.item.RecommenderJob
main(String[]) - Static method in class org.apache.mahout.cf.taste.hadoop.pseudo.RecommenderJob
main(String[]) - Static method in class org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob
main(String[]) - Static method in class org.apache.mahout.cf.taste.hadoop.slopeone.SlopeOneAverageDiffsJob
main(String[]) - Static method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureDriver
main(String[]) - Static method in class org.apache.mahout.classifier.bayes.TestClassifier
main(String[]) - Static method in class org.apache.mahout.classifier.bayes.TrainClassifier
main(String[]) - Static method in class org.apache.mahout.classifier.BayesFileFormatter
  Run the FileFormatter
main(String[]) - Static method in class org.apache.mahout.classifier.Classify
main(String[]) - Static method in class org.apache.mahout.clustering.canopy.CanopyDriver
main(String[]) - Static method in class org.apache.mahout.clustering.dirichlet.DirichletDriver
main(String[]) - Static method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver
main(String[]) - Static method in class org.apache.mahout.clustering.kmeans.KMeansDriver
main(String[]) - Static method in class org.apache.mahout.clustering.lda.LDADriver
main(String[]) - Static method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyDriver
main(String[]) - Static method in class org.apache.mahout.clustering.minhash.MinHashDriver
main(String[]) - Static method in class org.apache.mahout.clustering.spectral.eigencuts.EigencutsDriver
main(String[]) - Static method in class org.apache.mahout.clustering.spectral.kmeans.SpectralKMeansDriver
main(String[]) - Static method in class org.apache.mahout.df.tools.Describe
main(String[]) - Static method in class org.apache.mahout.df.tools.Frequencies
main(String[]) - Static method in class org.apache.mahout.df.tools.UDistrib
  Launch the uniform distribution tool.
main(String[]) - Static method in class org.apache.mahout.driver.MahoutDriver
main(String[]) - Static method in class org.apache.mahout.fpm.pfpgrowth.FPGrowthDriver
  Run TopK FPGrowth given the input file,
main(String[]) - Static method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
main(String[]) - Static method in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob
main(String[]) - Static method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob
main(String[]) - Static method in class org.apache.mahout.math.hadoop.similarity.RowSimilarityJob
main(String[]) - Static method in class org.apache.mahout.math.hadoop.TransposeJob
main(String[]) - Static method in class org.apache.mahout.vectorizer.collocations.llr.CollocDriver
main(String[]) - Static method in class org.apache.mahout.vectorizer.SparseVectorsFromSequenceFiles
majorityLabel(Random) - Method in class org.apache.mahout.df.data.Data
  finds the majority label, breaking ties randomly
ManhattanDistanceMeasure - Class in org.apache.mahout.common.distance
  This class implements a "manhattan distance" metric by summing the absolute values of the difference between each coordinate
ManhattanDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.ManhattanDistanceMeasure
map(LongWritable, Text, Mapper<LongWritable, Text, VarLongWritable, VarLongWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.ItemFilterMapper
map(LongWritable, Text, Mapper<LongWritable, Text, VarIntWritable, VarLongWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.ItemIDIndexMapper
map(VarIntWritable, VectorAndPrefsWritable, Mapper<VarIntWritable, VectorAndPrefsWritable, VarLongWritable, PrefAndSimilarityColumnWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.PartialMultiplyMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, VarIntWritable, VectorOrPrefWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.SimilarityMatrixRowWrapperMapper
map(VarLongWritable, VectorWritable, Mapper<VarLongWritable, VectorWritable, VarIntWritable, VectorOrPrefWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.UserVectorSplitterMapper
map(VarLongWritable, VectorWritable, Mapper<VarLongWritable, VectorWritable, IntWritable, DistributedRowMatrix.MatrixEntryWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.MaybePruneRowsMapper
map(LongWritable, Text, Mapper<LongWritable, Text, VarLongWritable, NullWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.pseudo.UserIDsMapper
map(LongWritable, Text, Mapper<LongWritable, Text, CountUsersKeyWritable, VarLongWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.CountUsersMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, EntityEntityWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.MostSimilarItemPairsMapper
map(LongWritable, Text, Mapper<LongWritable, Text, VarLongWritable, VarLongWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.ToEntityPrefsMapper
map(Text, Text, OutputCollector<StringTuple, DoubleWritable>, Reporter) - Method in class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesClassifierMapper
  Parallel Classification
map(StringTuple, DoubleWritable, OutputCollector<StringTuple, DoubleWritable>, Reporter) - Method in class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesThetaNormalizerMapper
  We need to calculate the thetaNormalization factor of each label
map(StringTuple, DoubleWritable, OutputCollector<StringTuple, DoubleWritable>, Reporter) - Method in class org.apache.mahout.classifier.bayes.mapreduce.cbayes.CBayesThetaNormalizerMapper
  We need to calculate the idf of each feature in each label
map(Text, Text, OutputCollector<StringTuple, DoubleWritable>, Reporter) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureMapper
  We need to count the number of times we've seen a term with a given label and we need to output that.
map(StringTuple, DoubleWritable, OutputCollector<StringTuple, DoubleWritable>, Reporter) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesTfIdfMapper
  We need to calculate the Tf-Idf of each feature in each label
map(StringTuple, DoubleWritable, OutputCollector<StringTuple, DoubleWritable>, Reporter) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesWeightSummerMapper
  We need to calculate the weight sums across each label and each feature
map(Text, VectorWritable, Mapper<Text, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.trainer.NaiveBayesInstanceMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.trainer.NaiveBayesThetaComplementaryMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.trainer.NaiveBayesThetaMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.trainer.NaiveBayesWeightsMapper
map(WritableComparable<?>, VectorWritable, Mapper<WritableComparable<?>, VectorWritable, IntWritable, WeightedVectorWritable>.Context) - Method in class org.apache.mahout.clustering.canopy.ClusterMapper
map(WritableComparable<?>, VectorWritable, Mapper<WritableComparable<?>, VectorWritable, IntWritable, WeightedVectorWritable>.Context) - Method in class org.apache.mahout.clustering.dirichlet.DirichletClusterMapper
map(WritableComparable<?>, VectorWritable, Mapper<WritableComparable<?>, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.dirichlet.DirichletMapper
map(WritableComparable<?>, VectorWritable, Mapper<WritableComparable<?>, VectorWritable, IntWritable, WeightedVectorWritable>.Context) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterMapper
map(WritableComparable<?>, VectorWritable, Mapper<WritableComparable<?>, VectorWritable, Text, ClusterObservations>.Context) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansMapper
map(WritableComparable<?>, VectorWritable, Mapper<WritableComparable<?>, VectorWritable, IntWritable, WeightedVectorWritable>.Context) - Method in class org.apache.mahout.clustering.kmeans.KMeansClusterMapper
map(WritableComparable<?>, VectorWritable, Mapper<WritableComparable<?>, VectorWritable, Text, ClusterObservations>.Context) - Method in class org.apache.mahout.clustering.kmeans.KMeansMapper
map(WritableComparable<?>, VectorWritable, Mapper<WritableComparable<?>, VectorWritable, IntPairWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.clustering.lda.LDAMapper
map(WritableComparable<?>, MeanShiftCanopy, Mapper<WritableComparable<?>, MeanShiftCanopy, IntWritable, WeightedVectorWritable>.Context) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyClusterMapper
map(WritableComparable<?>, VectorWritable, Mapper<WritableComparable<?>, VectorWritable, Text, MeanShiftCanopy>.Context) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyCreatorMapper
map(WritableComparable<?>, MeanShiftCanopy, Mapper<WritableComparable<?>, MeanShiftCanopy, Text, MeanShiftCanopy>.Context) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyMapper
map(Text, Writable, Mapper<Text, Writable, Text, Writable>.Context) - Method in class org.apache.mahout.clustering.minhash.MinHashMapper
  Hash all items with each function and retain min.
map(LongWritable, Text, Mapper<LongWritable, Text, IntWritable, DistributedRowMatrix.MatrixEntryWritable>.Context) - Method in class org.apache.mahout.clustering.spectral.common.AffinityMatrixInputMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, NullWritable, IntDoublePairWritable>.Context) - Method in class org.apache.mahout.clustering.spectral.common.MatrixDiagonalizeJob.MatrixDiagonalizeMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.spectral.common.UnitVectorizerJob.UnitVectorizerMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.spectral.common.VectorMatrixMultiplicationJob.VectorMatrixMultiplicationMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, Text, VertexWritable>.Context) - Method in class org.apache.mahout.clustering.spectral.eigencuts.EigencutsAffinityCutsJob.EigencutsAffinityCutsMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, IntWritable, EigencutsSensitivityNode>.Context) - Method in class org.apache.mahout.clustering.spectral.eigencuts.EigencutsSensitivityMapper
map(LongWritable, Text, Mapper<LongWritable, Text, LongWritable, Text>.Context) - Method in class org.apache.mahout.df.mapreduce.Classifier.CMapper
map(IntWritable, NullWritable, Mapper<IntWritable, NullWritable, IntWritable, MapredOutput>.Context) - Method in class org.apache.mahout.df.mapreduce.inmem.InMemMapper
map(IntWritable, Mapper<IntWritable, NullWritable, IntWritable, MapredOutput>.Context) - Method in class org.apache.mahout.df.mapreduce.inmem.InMemMapper
map(LongWritable, Text, Mapper<LongWritable, Text, TreeID, MapredOutput>.Context) - Method in class org.apache.mahout.df.mapreduce.partial.Step1Mapper
map(LongWritable, Text, Mapper<LongWritable, Text, TreeID, MapredOutput>.Context) - Method in class org.apache.mahout.df.mapreduce.partial.Step2Mapper
map(Text, TopKStringPatterns, Mapper<Text, TopKStringPatterns, Text, TopKStringPatterns>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.AggregatorMapper
map(LongWritable, Text, Mapper<LongWritable, Text, Text, LongWritable>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.ParallelCountingMapper
map(LongWritable, TransactionTree, Mapper<LongWritable, TransactionTree, LongWritable, TransactionTree>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.ParallelFPGrowthMapper
map(LongWritable, Text, Mapper<LongWritable, Text, LongWritable, TransactionTree>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionSortingMapper
map(LongWritable, Text, Mapper<LongWritable, Text, LongWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.ga.watchmaker.EvalMapper
map(IntWritable, TupleWritable, OutputCollector<IntWritable, VectorWritable>, Reporter) - Method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob.MatrixMultiplyMapper
map(VarIntWritable, WeightedOccurrenceArray, Mapper<VarIntWritable, WeightedOccurrenceArray, WeightedRowPair, Cooccurrence>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.RowSimilarityJob.CooccurrencesMapper
map(IntWritable, VectorWritable, Mapper<IntWritable, VectorWritable, VarIntWritable, WeightedOccurrence>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.RowSimilarityJob.RowWeightMapper
map(IntWritable, VectorWritable, OutputCollector<NullWritable, VectorWritable>, Reporter) - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesMapper
map(T, VectorWritable, OutputCollector<NullWritable, VectorWritable>, Reporter) - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesSquaredMapper
map(IntWritable, VectorWritable, OutputCollector<IntWritable, DistributedRowMatrix.MatrixEntryWritable>, Reporter) - Method in class org.apache.mahout.math.hadoop.TransposeJob.TransposeMapper
map(Text, StringTuple, Mapper<Text, StringTuple, GramKey, Gram>.Context) - Method in class org.apache.mahout.vectorizer.collocations.llr.CollocMapper
  Collocation finder: pass 1 map phase.
map(Text, Text, Mapper<Text, Text, Text, StringTuple>.Context) - Method in class org.apache.mahout.vectorizer.document.SequenceFileTokenizerMapper
map(Text, StringTuple, Mapper<Text, StringTuple, Text, LongWritable>.Context) - Method in class org.apache.mahout.vectorizer.term.TermCountMapper
map(WritableComparable<?>, VectorWritable, Mapper<WritableComparable<?>, VectorWritable, IntWritable, LongWritable>.Context) - Method in class org.apache.mahout.vectorizer.term.TermDocumentCountMapper
Mapping - Class in org.apache.mahout.ep
  Provides coordinate tranformations so that evolution can proceed on the entire space of reals but have the output limited and squished in convenient (and safe) ways.
Mapping.Exponential - Class in org.apache.mahout.ep
Mapping.Identity - Class in org.apache.mahout.ep
Mapping.LogLimit - Class in org.apache.mahout.ep
Mapping.SoftLimit - Class in org.apache.mahout.ep
MapredMapper<KEYIN,VALUEIN,KEYOUT,VALUEOUT> - Class in org.apache.mahout.df.mapreduce
  Base class for Mapred mappers.
MapredMapper() - Constructor for class org.apache.mahout.df.mapreduce.MapredMapper
MapredOutput - Class in org.apache.mahout.df.mapreduce
  Used by various implementation to return the results of a build.
  Contains a grown tree and and its oob predictions.
MapredOutput() - Constructor for class org.apache.mahout.df.mapreduce.MapredOutput
MapredOutput(Node, int[]) - Constructor for class org.apache.mahout.df.mapreduce.MapredOutput
MapredOutput(Node) - Constructor for class org.apache.mahout.df.mapreduce.MapredOutput
MapredOutput(int[]) - Constructor for class org.apache.mahout.df.mapreduce.MapredOutput
MAPREDUCE_METHOD - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
MatrixDiagonalizeJob - Class in org.apache.mahout.clustering.spectral.common
  Given a matrix, this job returns a vector whose i_th element is the sum of all the elements in the i_th row of the original matrix.
MatrixDiagonalizeJob.MatrixDiagonalizeMapper - Class in org.apache.mahout.clustering.spectral.common
MatrixDiagonalizeJob.MatrixDiagonalizeMapper() - Constructor for class org.apache.mahout.clustering.spectral.common.MatrixDiagonalizeJob.MatrixDiagonalizeMapper
MatrixDiagonalizeJob.MatrixDiagonalizeReducer - Class in org.apache.mahout.clustering.spectral.common
MatrixDiagonalizeJob.MatrixDiagonalizeReducer() - Constructor for class org.apache.mahout.clustering.spectral.common.MatrixDiagonalizeJob.MatrixDiagonalizeReducer
MatrixMultiplicationJob - Class in org.apache.mahout.math.hadoop
MatrixMultiplicationJob() - Constructor for class org.apache.mahout.math.hadoop.MatrixMultiplicationJob
MatrixMultiplicationJob.MatrixMultiplicationReducer - Class in org.apache.mahout.math.hadoop
MatrixMultiplicationJob.MatrixMultiplicationReducer() - Constructor for class org.apache.mahout.math.hadoop.MatrixMultiplicationJob.MatrixMultiplicationReducer
MatrixMultiplicationJob.MatrixMultiplyMapper - Class in org.apache.mahout.math.hadoop
MatrixMultiplicationJob.MatrixMultiplyMapper() - Constructor for class org.apache.mahout.math.hadoop.MatrixMultiplicationJob.MatrixMultiplyMapper
MatrixWritable - Class in org.apache.mahout.math
MatrixWritable() - Constructor for class org.apache.mahout.math.MatrixWritable
MatrixWritable(Matrix) - Constructor for class org.apache.mahout.math.MatrixWritable
MAX_COOCCURRENCES - Static variable in class org.apache.mahout.cf.taste.hadoop.MaybePruneRowsMapper
MAX_DF_PERCENTAGE - Static variable in class org.apache.mahout.vectorizer.tfidf.TFIDFConverter
MAX_HEAPSIZE - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
MAX_ITERATIONS_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
MAX_NGRAMS - Static variable in class org.apache.mahout.vectorizer.DictionaryVectorizer
MAX_REDUCERS_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
MAX_SHINGLE_SIZE - Static variable in class org.apache.mahout.vectorizer.collocations.llr.CollocMapper
MAX_SIMILARITIES_PER_ROW - Static variable in class org.apache.mahout.math.hadoop.similarity.RowSimilarityJob
MAX_TREEID - Static variable in class org.apache.mahout.df.mapreduce.partial.TreeID
maxDepth() - Method in class org.apache.mahout.df.node.CategoricalNode
maxDepth() - Method in class org.apache.mahout.df.node.Leaf
maxDepth() - Method in class org.apache.mahout.df.node.Node
maxDepth() - Method in class org.apache.mahout.df.node.NumericalNode
maxindex(Random, int[]) - Static method in class org.apache.mahout.df.data.DataUtils
  return the index of the maximum of the array, breaking ties randomly
maxIterationsOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for specification of max number of iterations.
maxTargetValue(int) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory
  Defines the number of target variable categories, but allows this parser to pick encodings for them as they appear.
maxTargetValue(int) - Method in interface org.apache.mahout.classifier.sgd.RecordFactory
MaybePruneRowsMapper - Class in org.apache.mahout.cf.taste.hadoop
  tries to limit the number of elements per col to a fixed size and transposes the input afterwards
MaybePruneRowsMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.MaybePruneRowsMapper
maybePut(Map<String, String>, CommandLine, Option...) - Static method in class org.apache.mahout.common.AbstractJob
maybeRefresh(Collection<Refreshable>, Refreshable) - Static method in class org.apache.mahout.cf.taste.impl.common.RefreshHelper
  Adds the specified `Refreshable` to the given collection of `Refreshable`s if it is not already there and immediately refreshes it.
maybeWrapIterable(Iterable<T>, double) - Static method in class org.apache.mahout.common.iterator.SamplingIterable
maybeWrapIterator(LongPrimitiveIterator, double) - Static method in class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator
meanMaxDepth() - Method in class org.apache.mahout.df.DecisionForest
  Mean maximum depth per tree
meanNbNodes() - Method in class org.apache.mahout.df.DecisionForest
  Mean number of nodes per tree
MeanShiftCanopy - Class in org.apache.mahout.clustering.meanshift
  This class models a canopy as a center point, the number of points that are contained within it according to the application of some distance metric, and a point total which is the sum of all the points and is used to compute the centroid when needed.
MeanShiftCanopy() - Constructor for class org.apache.mahout.clustering.meanshift.MeanShiftCanopy
  Used for Writable
MeanShiftCanopy(Vector, int, DistanceMeasure) - Constructor for class org.apache.mahout.clustering.meanshift.MeanShiftCanopy
  Create a new Canopy containing the given point
MeanShiftCanopyClusterer - Class in org.apache.mahout.clustering.meanshift
MeanShiftCanopyClusterer(Configuration) - Constructor for class org.apache.mahout.clustering.meanshift.MeanShiftCanopyClusterer
MeanShiftCanopyClusterer(DistanceMeasure, double, double, double) - Constructor for class org.apache.mahout.clustering.meanshift.MeanShiftCanopyClusterer
MeanShiftCanopyClusterMapper - Class in org.apache.mahout.clustering.meanshift
MeanShiftCanopyClusterMapper() - Constructor for class org.apache.mahout.clustering.meanshift.MeanShiftCanopyClusterMapper
MeanShiftCanopyConfigKeys - Interface in org.apache.mahout.clustering.meanshift
MeanShiftCanopyCreatorMapper - Class in org.apache.mahout.clustering.meanshift
MeanShiftCanopyCreatorMapper() - Constructor for class org.apache.mahout.clustering.meanshift.MeanShiftCanopyCreatorMapper
MeanShiftCanopyDriver - Class in org.apache.mahout.clustering.meanshift
MeanShiftCanopyDriver() - Constructor for class org.apache.mahout.clustering.meanshift.MeanShiftCanopyDriver
MeanShiftCanopyMapper - Class in org.apache.mahout.clustering.meanshift
MeanShiftCanopyMapper() - Constructor for class org.apache.mahout.clustering.meanshift.MeanShiftCanopyMapper
MeanShiftCanopyReducer - Class in org.apache.mahout.clustering.meanshift
MeanShiftCanopyReducer() - Constructor for class org.apache.mahout.clustering.meanshift.MeanShiftCanopyReducer
MeanTreeCollector - Class in org.apache.mahout.df.callback
  Computes the error rate for each tree, and returns the mean of all the trees
MeanTreeCollector(Data, int) - Constructor for class org.apache.mahout.df.callback.MeanTreeCollector
meanTreeError() - Method in class org.apache.mahout.df.callback.MeanTreeCollector
measure - Variable in class org.apache.mahout.clustering.DistanceMeasureCluster
MemoryDiffStorage - Class in org.apache.mahout.cf.taste.impl.recommender.slopeone
  An implementation of `DiffStorage` that merely stores item-item diffs in memory.
MemoryDiffStorage(DataModel, Weighting, boolean, long) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.slopeone.MemoryDiffStorage
  Creates a new .
MemoryIDMigrator - Class in org.apache.mahout.cf.taste.impl.model
  Implementation which stores the reverse long-to-String mapping in memory.
MemoryIDMigrator() - Constructor for class org.apache.mahout.cf.taste.impl.model.MemoryIDMigrator
merge(ConfusionMatrix) - Method in class org.apache.mahout.classifier.ConfusionMatrix
merge(TopKStringPatterns, int) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.string.TopKStringPatterns
mergeCanopy(MeanShiftCanopy, Collection<MeanShiftCanopy>) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyClusterer
  Merge the given canopy into the canopies list.
mergePartialVectors(Iterable<Path>, Path, float, boolean, int, boolean, boolean, int) - Static method in class org.apache.mahout.vectorizer.common.PartialVectorMerger
  Merge all the partial `RandomAccessSparseVector`s into the complete Document `RandomAccessSparseVector`
METHOD_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
methodOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for specification of sequential or parallel operation.
MIN_CLUSTER_SIZE - Static variable in class org.apache.mahout.common.commandline.MinhashOptionCreator
MIN_DF - Static variable in class org.apache.mahout.vectorizer.tfidf.TFIDFConverter
MIN_LLR - Static variable in class org.apache.mahout.vectorizer.collocations.llr.LLRReducer
MIN_SUPPORT - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
MIN_SUPPORT - Static variable in class org.apache.mahout.vectorizer.collocations.llr.CollocReducer
MIN_SUPPORT - Static variable in class org.apache.mahout.vectorizer.DictionaryVectorizer
MIN_VECTOR_SIZE - Static variable in class org.apache.mahout.common.commandline.MinhashOptionCreator
minClusterSizeOption() - Static method in class org.apache.mahout.common.commandline.MinhashOptionCreator
  Returns a default command line option for specifying the minimum cluster size in MinHash clustering
MinHashDriver - Class in org.apache.mahout.clustering.minhash
MinHashDriver() - Constructor for class org.apache.mahout.clustering.minhash.MinHashDriver
MinHashMapper - Class in org.apache.mahout.clustering.minhash
MinHashMapper() - Constructor for class org.apache.mahout.clustering.minhash.MinHashMapper
MinhashOptionCreator - Class in org.apache.mahout.common.commandline
MinHashReducer - Class in org.apache.mahout.clustering.minhash
MinHashReducer() - Constructor for class org.apache.mahout.clustering.minhash.MinHashReducer
minVectorSizeOption() - Static method in class org.apache.mahout.common.commandline.MinhashOptionCreator
  Returns a default command line option for specifying the min size of the vector to hash Should one out of ("linear","polynomial","murmur")
MixedGradient - Class in org.apache.mahout.classifier.sgd
  Provides a stochastic mixture of ranking updates and normal logistic updates.
MixedGradient(double, int) - Constructor for class org.apache.mahout.classifier.sgd.MixedGradient
MockLeaf - Class in org.apache.mahout.df.node
  Custom Leaf node that returns for each instance its own label.
MockLeaf() - Constructor for class org.apache.mahout.df.node.MockLeaf
model - Variable in class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier
Model<O> - Interface in org.apache.mahout.clustering
  A model is a probability distribution over observed data points and allows the probability of any data point to be computed.
MODEL_DISTRIBUTION_CLASS_OPTION - Static variable in class org.apache.mahout.clustering.dirichlet.DirichletDriver
MODEL_DISTRIBUTION_KEY - Static variable in class org.apache.mahout.clustering.dirichlet.DirichletDriver
MODEL_DISTRIBUTION_TYPE - Static variable in class org.apache.mahout.clustering.dirichlet.models.AbstractVectorModelDistribution
MODEL_PROTOTYPE_CLASS_OPTION - Static variable in class org.apache.mahout.clustering.dirichlet.DirichletDriver
MODEL_PROTOTYPE_KEY - Static variable in class org.apache.mahout.clustering.dirichlet.DirichletDriver
ModelDissector - Class in org.apache.mahout.classifier.sgd
  Uses sample data to reverse engineer a feature-hashed model.
ModelDissector() - Constructor for class org.apache.mahout.classifier.sgd.ModelDissector
ModelDissector.Weight - Class in org.apache.mahout.classifier.sgd
ModelDissector.Weight(String, Vector) - Constructor for class org.apache.mahout.classifier.sgd.ModelDissector.Weight
ModelDissector.Weight(String, Vector, int) - Constructor for class org.apache.mahout.classifier.sgd.ModelDissector.Weight
ModelDistribution<O> - Interface in org.apache.mahout.clustering
  A model distribution allows us to sample a model from its prior distribution.
modelLikelihood(HmmModel, int[], boolean) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmEvaluator
  Returns the likelihood that a given output sequence was produced by the given model.
modelLikelihood(Matrix, boolean) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmEvaluator
  Computes the likelihood that a given output sequence was computed by a given model using the alpha values computed by the forward algorithm.
modelLikelihood(HmmModel, int[], Matrix, boolean) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmEvaluator
  Computes the likelihood that a given output sequence was computed by a given model.
ModelSerializer - Class in org.apache.mahout.classifier.sgd
  Provides the ability to store SGD model-related objects as JSON.
MostSimilarItemPairsMapper - Class in org.apache.mahout.cf.taste.hadoop.similarity.item
MostSimilarItemPairsMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.similarity.item.MostSimilarItemPairsMapper
MostSimilarItemPairsReducer - Class in org.apache.mahout.cf.taste.hadoop.similarity.item
MostSimilarItemPairsReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.similarity.item.MostSimilarItemPairsReducer
mostSimilarItems(long, int) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
mostSimilarItems(long, int, Rescorer<LongPair>) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
mostSimilarItems(long[], int) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
mostSimilarItems(long[], int, Rescorer<LongPair>) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
mostSimilarItems(long, int) - Method in interface org.apache.mahout.cf.taste.recommender.ItemBasedRecommender
mostSimilarItems(long, int, Rescorer<LongPair>) - Method in interface org.apache.mahout.cf.taste.recommender.ItemBasedRecommender
mostSimilarItems(long[], int) - Method in interface org.apache.mahout.cf.taste.recommender.ItemBasedRecommender
mostSimilarItems(long[], int, Rescorer<LongPair>) - Method in interface org.apache.mahout.cf.taste.recommender.ItemBasedRecommender
mostSimilarUserIDs(long, int) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
mostSimilarUserIDs(long, int, Rescorer<LongPair>) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
mostSimilarUserIDs(long, int) - Method in interface org.apache.mahout.cf.taste.recommender.UserBasedRecommender
mostSimilarUserIDs(long, int, Rescorer<LongPair>) - Method in interface org.apache.mahout.cf.taste.recommender.UserBasedRecommender
MultiCallback - Class in org.apache.mahout.df.callback
  Combines many callbacks, that will be called when a prediction is done.
MultiCallback(PredictionCallback...) - Constructor for class org.apache.mahout.df.callback.MultiCallback
MultiLabelVectorWritable - Class in org.apache.mahout.math
  Writable to handle serialization of a vector and a variable list of associated label indexes.
MultiLabelVectorWritable() - Constructor for class org.apache.mahout.math.MultiLabelVectorWritable
MultiLabelVectorWritable(Vector, int[]) - Constructor for class org.apache.mahout.math.MultiLabelVectorWritable
MultipleOutputFormat<K,V> - Class in org.apache.mahout.classifier.bayes
  This abstract class extends the FileOutputFormat, allowing to write the output data to different output files.
MultipleOutputFormat() - Constructor for class org.apache.mahout.classifier.bayes.MultipleOutputFormat
MultipleTextOutputFormat<K,V> - Class in org.apache.mahout.classifier.bayes
  This class extends the MultipleOutputFormat, allowing to write the output data to different output files in Text output format.
MultipleTextOutputFormat() - Constructor for class org.apache.mahout.classifier.bayes.MultipleTextOutputFormat
MultiTransactionTreeIterator - Class in org.apache.mahout.fpm.pfpgrowth
  Iterates over multiple transaction trees to produce a single iterator of transactions
MultiTransactionTreeIterator(Iterator<Pair<List<Integer>, Long>>) - Constructor for class org.apache.mahout.fpm.pfpgrowth.MultiTransactionTreeIterator
MurmurHash - Class in org.apache.mahout.vectorizer.encoders
  This is a very fast, non-cryptographic hash suitable for general hash-based lookup.
mutate() - Method in class org.apache.mahout.ep.State
  Clones this state with a random change in position.
mutatePopulation(int) - Method in class org.apache.mahout.ep.EvolutionaryProcess
  Nuke all but a few of the current population and then repopulate with variants of the survivors.
MySQLBooleanPrefJDBCDataModel - Class in org.apache.mahout.cf.taste.impl.model.jdbc
  See also `MySQLJDBCDataModel` -- same except deals with a table without preference info:
MySQLBooleanPrefJDBCDataModel() - Constructor for class org.apache.mahout.cf.taste.impl.model.jdbc.MySQLBooleanPrefJDBCDataModel
  Creates a using the default `DataSource` (named `AbstractJDBCComponent.DEFAULT_DATASOURCE_NAME` and default table/column names.
MySQLBooleanPrefJDBCDataModel(String) - Constructor for class org.apache.mahout.cf.taste.impl.model.jdbc.MySQLBooleanPrefJDBCDataModel
  Creates a using the default `DataSource` found under the given name, and using default table/column names.
MySQLBooleanPrefJDBCDataModel(DataSource) - Constructor for class org.apache.mahout.cf.taste.impl.model.jdbc.MySQLBooleanPrefJDBCDataModel
  Creates a using the given `DataSource` and default table/column names.
MySQLBooleanPrefJDBCDataModel(DataSource, String, String, String, String) - Constructor for class org.apache.mahout.cf.taste.impl.model.jdbc.MySQLBooleanPrefJDBCDataModel
  Creates a using the given `DataSource` and default table/column names.
MySQLJDBCDataModel - Class in org.apache.mahout.cf.taste.impl.model.jdbc
  A `JDBCDataModel` backed by a MySQL database and accessed via JDBC.
MySQLJDBCDataModel() - Constructor for class org.apache.mahout.cf.taste.impl.model.jdbc.MySQLJDBCDataModel
  Creates a using the default `DataSource` (named `AbstractJDBCComponent.DEFAULT_DATASOURCE_NAME` and default table/column names.
MySQLJDBCDataModel(String) - Constructor for class org.apache.mahout.cf.taste.impl.model.jdbc.MySQLJDBCDataModel
  Creates a using the default `DataSource` found under the given name, and using default table/column names.
MySQLJDBCDataModel(DataSource) - Constructor for class org.apache.mahout.cf.taste.impl.model.jdbc.MySQLJDBCDataModel
  Creates a using the given `DataSource` and default table/column names.
MySQLJDBCDataModel(DataSource, String, String, String, String, String) - Constructor for class org.apache.mahout.cf.taste.impl.model.jdbc.MySQLJDBCDataModel
  Creates a using the given `DataSource` and default table/column names.
MySQLJDBCDiffStorage - Class in org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc
  MySQL-specific implementation.
MySQLJDBCDiffStorage(AbstractJDBCDataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.MySQLJDBCDiffStorage
MySQLJDBCDiffStorage(AbstractJDBCDataModel, String, String, String, String, String, String, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.MySQLJDBCDiffStorage
MySQLJDBCIDMigrator - Class in org.apache.mahout.cf.taste.impl.model
  An implementation for MySQL.
MySQLJDBCIDMigrator(DataSource) - Constructor for class org.apache.mahout.cf.taste.impl.model.MySQLJDBCIDMigrator
MySQLJDBCIDMigrator(DataSource, String, String, String) - Constructor for class org.apache.mahout.cf.taste.impl.model.MySQLJDBCIDMigrator
MySQLJDBCItemSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity.jdbc
  An `ItemSimilarity` backed by a MySQL database and accessed via JDBC.
MySQLJDBCItemSimilarity() - Constructor for class org.apache.mahout.cf.taste.impl.similarity.jdbc.MySQLJDBCItemSimilarity
MySQLJDBCItemSimilarity(String) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.jdbc.MySQLJDBCItemSimilarity
MySQLJDBCItemSimilarity(DataSource) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.jdbc.MySQLJDBCItemSimilarity
MySQLJDBCItemSimilarity(DataSource, String, String, String, String) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.jdbc.MySQLJDBCItemSimilarity

## N

NaiveBayesInstanceMapper - Class in org.apache.mahout.classifier.naivebayes.trainer
NaiveBayesInstanceMapper() - Constructor for class org.apache.mahout.classifier.naivebayes.trainer.NaiveBayesInstanceMapper
NaiveBayesModel - Class in org.apache.mahout.classifier.naivebayes
  NaiveBayesModel holds the weight Matrix, the feature and label sums and the weight normalizer vectors.
NaiveBayesModel(Matrix, Vector, Vector, Vector, float) - Constructor for class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
NaiveBayesSumReducer - Class in org.apache.mahout.classifier.naivebayes.trainer
  Can also be used as a local Combiner.
NaiveBayesSumReducer() - Constructor for class org.apache.mahout.classifier.naivebayes.trainer.NaiveBayesSumReducer
NaiveBayesThetaComplementaryMapper - Class in org.apache.mahout.classifier.naivebayes.trainer
NaiveBayesThetaComplementaryMapper() - Constructor for class org.apache.mahout.classifier.naivebayes.trainer.NaiveBayesThetaComplementaryMapper
NaiveBayesThetaMapper - Class in org.apache.mahout.classifier.naivebayes.trainer
NaiveBayesThetaMapper() - Constructor for class org.apache.mahout.classifier.naivebayes.trainer.NaiveBayesThetaMapper
NaiveBayesTrainer - Class in org.apache.mahout.classifier.naivebayes.trainer
  This class trains a Naive Bayes Classifier (Parameters for both Naive Bayes and Complementary Naive Bayes)
NaiveBayesTrainer() - Constructor for class org.apache.mahout.classifier.naivebayes.trainer.NaiveBayesTrainer
NaiveBayesWeightsMapper - Class in org.apache.mahout.classifier.naivebayes.trainer
NaiveBayesWeightsMapper() - Constructor for class org.apache.mahout.classifier.naivebayes.trainer.NaiveBayesWeightsMapper
name() - Method in class org.apache.mahout.common.parameters.AbstractParameter
name() - Method in interface org.apache.mahout.common.parameters.Parameter
NAMED_VECTOR - Static variable in class org.apache.mahout.vectorizer.common.PartialVectorMerger
nbAttributes() - Method in class org.apache.mahout.df.data.Dataset
nbConcerned(int, int, int) - Static method in class org.apache.mahout.df.mapreduce.partial.Step2Mapper
  Compute the number of trees that need to classify the instances of this mapper's partition
nbErrors(int[], int[]) - Static method in class org.apache.mahout.df.ErrorEstimate
  Counts the number of instance that got bad predictions
nbInstances() - Method in class org.apache.mahout.df.data.Dataset
nblabels() - Method in class org.apache.mahout.df.data.Dataset
nbNodes() - Method in class org.apache.mahout.df.DecisionForest
  Total number of nodes in all the trees
nbNodes() - Method in class org.apache.mahout.df.node.CategoricalNode
nbNodes() - Method in class org.apache.mahout.df.node.Leaf
nbNodes() - Method in class org.apache.mahout.df.node.Node
nbNodes() - Method in class org.apache.mahout.df.node.NumericalNode
nbPredicted(int[]) - Static method in class org.apache.mahout.df.ErrorEstimate
  Counts the number of classified instances (prediction != -1)
nbTrees(int, int, int) - Static method in class org.apache.mahout.df.mapreduce.partial.Step1Mapper
  Compute the number of trees for a given partition.
NearestNeighborClusterSimilarity - Class in org.apache.mahout.cf.taste.impl.recommender
  Defines cluster similarity as the largest similarity between any two users in the clusters -- that is, it says that clusters are close when some pair of their members has high similarity.
NearestNeighborClusterSimilarity(UserSimilarity) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.NearestNeighborClusterSimilarity
  Constructs a based on the given `UserSimilarity`.
NearestNeighborClusterSimilarity(UserSimilarity, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.NearestNeighborClusterSimilarity
  Constructs a based on the given `UserSimilarity`.
NearestNUserNeighborhood - Class in org.apache.mahout.cf.taste.impl.neighborhood
  Computes a neighborhood consisting of the nearest n users to a given user.
NearestNUserNeighborhood(int, UserSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.neighborhood.NearestNUserNeighborhood
NearestNUserNeighborhood(int, double, UserSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.neighborhood.NearestNUserNeighborhood
NearestNUserNeighborhood(int, double, UserSimilarity, DataModel, double) - Constructor for class org.apache.mahout.cf.taste.impl.neighborhood.NearestNUserNeighborhood
newCall() - Method in class org.apache.mahout.common.TimingStatistics
next() - Method in class org.apache.mahout.cf.taste.impl.common.AbstractLongPrimitiveIterator
next() - Method in class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
next() - Method in class org.apache.mahout.common.FileLineIterator
next() - Method in class org.apache.mahout.common.iterator.ArrayIterator
next() - Method in class org.apache.mahout.common.iterator.DelegatingIterator
next() - Method in class org.apache.mahout.common.iterator.EmptyIterator
next() - Method in class org.apache.mahout.common.iterator.PermutingIterator
next() - Method in class org.apache.mahout.common.iterator.SamplingIterator
next() - Method in class org.apache.mahout.common.StringRecordIterator
next() - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.integer.IntegerTupleIterator
next() - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.string.StringTupleIterator
next() - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.TransactionIterator
next(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
next() - Method in class org.apache.mahout.fpm.pfpgrowth.MultiTransactionTreeIterator
next() - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree.TransactionTreeIterator
next() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.DistributedMatrixIterator
nextKeyValue() - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemRecordReader
nextLong() - Method in class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
nextLong() - Method in interface org.apache.mahout.cf.taste.impl.common.LongPrimitiveIterator
nextLong() - Method in class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator
nextStep() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
nextStep(int) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
NGRAM_OUTPUT_DIRECTORY - Static variable in class org.apache.mahout.vectorizer.collocations.llr.CollocDriver
NGRAM_TOTAL - Static variable in class org.apache.mahout.vectorizer.collocations.llr.LLRReducer
NGrams - Class in org.apache.mahout.common.nlp
NGrams(String, int) - Constructor for class org.apache.mahout.common.nlp.NGrams
NO_MAX_SIZE - Static variable in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
NO_MAX_SIZE - Static variable in class org.apache.mahout.cf.taste.impl.common.FastMap
NO_NORMALIZING - Static variable in class org.apache.mahout.vectorizer.common.PartialVectorMerger
Node - Class in org.apache.mahout.df.node
  Represents an abstract node of a decision tree
Node() - Constructor for class org.apache.mahout.df.node.Node
Node.Type - Enum in org.apache.mahout.df.node
NonNegativeQuadraticOptimizer - Class in org.apache.mahout.cf.taste.impl.recommender.knn
  Non-negative Quadratic Optimization.
NonNegativeQuadraticOptimizer() - Constructor for class org.apache.mahout.cf.taste.impl.recommender.knn.NonNegativeQuadraticOptimizer
NORMALIZATION_POWER - Static variable in class org.apache.mahout.vectorizer.common.PartialVectorMerger
normalizeModel(HmmModel) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmUtils
  Function used to normalize the probabilities of a given HMM model
NormalModel - Class in org.apache.mahout.clustering.dirichlet.models
NormalModel() - Constructor for class org.apache.mahout.clustering.dirichlet.models.NormalModel
NormalModel(int, Vector, double) - Constructor for class org.apache.mahout.clustering.dirichlet.models.NormalModel
NormalModelDistribution - Class in org.apache.mahout.clustering.dirichlet.models
  An implementation of the ModelDistribution interface suitable for testing the DirichletCluster algorithm.
NormalModelDistribution(VectorWritable) - Constructor for class org.apache.mahout.clustering.dirichlet.models.NormalModelDistribution
NormalModelDistribution() - Constructor for class org.apache.mahout.clustering.dirichlet.models.NormalModelDistribution
NoSuchItemException - Exception in org.apache.mahout.cf.taste.common
NoSuchItemException() - Constructor for exception org.apache.mahout.cf.taste.common.NoSuchItemException
NoSuchItemException(String) - Constructor for exception org.apache.mahout.cf.taste.common.NoSuchItemException
NoSuchUserException - Exception in org.apache.mahout.cf.taste.common
NoSuchUserException() - Constructor for exception org.apache.mahout.cf.taste.common.NoSuchUserException
NoSuchUserException(String) - Constructor for exception org.apache.mahout.cf.taste.common.NoSuchUserException
NullRescorer<T> - Class in org.apache.mahout.cf.taste.impl.recommender
  A simple `Rescorer` which always returns the original score.
NUM_CLUSTERS_KEY - Static variable in class org.apache.mahout.clustering.dirichlet.DirichletDriver
NUM_CLUSTERS_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
NUM_FLAGS - Static variable in class org.apache.mahout.math.VectorWritable
NUM_GROUPS - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
NUM_HASH_FUNCTIONS - Static variable in class org.apache.mahout.common.commandline.MinhashOptionCreator
NUM_REDUCERS - Static variable in class org.apache.mahout.common.commandline.MinhashOptionCreator
NUM_ROWS_KEY - Static variable in class org.apache.mahout.math.hadoop.TransposeJob
NUMBER_OF_COLUMNS - Static variable in class org.apache.mahout.math.hadoop.similarity.RowSimilarityJob
numCategories() - Method in class org.apache.mahout.classifier.AbstractVectorClassifier
  Returns the number of categories for the target variable.
numCategories() - Method in class org.apache.mahout.classifier.naivebayes.AbstractNaiveBayesClassifier
numCategories - Variable in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
numCategories() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
numCategories() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
numCategories() - Method in class org.apache.mahout.clustering.VectorModelClassifier
numClustersOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for specification of numbers of clusters to create.
numCols() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
numericalIg(Data, int, double) - Method in class org.apache.mahout.df.split.DefaultIgSplit
  Computes the Information Gain for a NUMERICAL attribute given a splitting value
NumericalNode - Class in org.apache.mahout.df.node
  Represents a node that splits using a numerical attribute
NumericalNode() - Constructor for class org.apache.mahout.df.node.NumericalNode
NumericalNode(int, double, Node, Node) - Constructor for class org.apache.mahout.df.node.NumericalNode
numericalSplit(Data, int) - Method in class org.apache.mahout.df.split.OptIgSplit
  Computes the best split for a NUMERICAL attribute
numFeatures() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
numFeatures() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
  Returns the size of the internal feature vector.
numHashFunctionsOption() - Static method in class org.apache.mahout.common.commandline.MinhashOptionCreator
  Returns a default command line option for specifying the number of hash functions to be used in MinHash clustering
numReducersOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Deprecated.
numReducersOption() - Static method in class org.apache.mahout.common.commandline.MinhashOptionCreator
numRows() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
numSlices() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix

## O

observe(ClusterObservations) - Method in class org.apache.mahout.clustering.AbstractCluster
observe(VectorWritable) - Method in class org.apache.mahout.clustering.AbstractCluster
observe(Vector, double) - Method in class org.apache.mahout.clustering.AbstractCluster
observe(Vector) - Method in class org.apache.mahout.clustering.AbstractCluster
observe(VectorWritable) - Method in class org.apache.mahout.clustering.dirichlet.DirichletCluster
observe(Model<VectorWritable>[], VectorWritable) - Method in class org.apache.mahout.clustering.dirichlet.DirichletClusterer
observe(VectorWritable) - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
observe(VectorWritable) - Method in class org.apache.mahout.clustering.dirichlet.models.L1Model
observe(VectorWritable) - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModel
observe(Vector) - Method in interface org.apache.mahout.clustering.GaussianAccumulator
  Observe the vector
observe(O) - Method in interface org.apache.mahout.clustering.Model
  Observe the given observation, retaining information about it
observe(Vector) - Method in class org.apache.mahout.clustering.OnlineGaussianAccumulator
observe(Vector) - Method in class org.apache.mahout.clustering.RunningSumsGaussianAccumulator
OnlineAuc - Interface in org.apache.mahout.math.stats
  Describes the generic outline of how to compute AUC.
OnlineGaussianAccumulator - Class in org.apache.mahout.clustering
  An online Gaussian statistics accumulator based upon Knuth (who cites Welford) which is declared to be numerically-stable.
OnlineGaussianAccumulator() - Constructor for class org.apache.mahout.clustering.OnlineGaussianAccumulator
OnlineLearner - Interface in org.apache.mahout.classifier
  The simplest interface for online learning algorithms.
OnlineLogisticRegression - Class in org.apache.mahout.classifier.sgd
  Extends the basic on-line logistic regression learner with a specific set of learning rate annealing schedules.
OnlineLogisticRegression(int, int, PriorFunction) - Constructor for class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
OptIgSplit - Class in org.apache.mahout.df.split
  Optimized implementation of IgSplit
OptIgSplit() - Constructor for class org.apache.mahout.df.split.OptIgSplit
optimize(double[][], double[]) - Method in class org.apache.mahout.cf.taste.impl.recommender.knn.ConjugateGradientOptimizer
  Conjugate gradient optimization.
optimize(double[][], double[]) - Method in class org.apache.mahout.cf.taste.impl.recommender.knn.NonNegativeQuadraticOptimizer
  Non-negative Quadratic Optimization.
optimize(double[][], double[]) - Method in interface org.apache.mahout.cf.taste.impl.recommender.knn.Optimizer
optimize(ThreadedEvolutionaryProcess.Function, int, long, int) - Method in class org.apache.mahout.ep.ThreadedEvolutionaryProcess
Optimizer - Interface in org.apache.mahout.cf.taste.impl.recommender.knn
org.apache.mahout.cf.taste.common - package org.apache.mahout.cf.taste.common
org.apache.mahout.cf.taste.eval - package org.apache.mahout.cf.taste.eval
org.apache.mahout.cf.taste.hadoop - package org.apache.mahout.cf.taste.hadoop
org.apache.mahout.cf.taste.hadoop.item - package org.apache.mahout.cf.taste.hadoop.item
org.apache.mahout.cf.taste.hadoop.pseudo - package org.apache.mahout.cf.taste.hadoop.pseudo
org.apache.mahout.cf.taste.hadoop.similarity.item - package org.apache.mahout.cf.taste.hadoop.similarity.item
org.apache.mahout.cf.taste.hadoop.slopeone - package org.apache.mahout.cf.taste.hadoop.slopeone
org.apache.mahout.cf.taste.impl.common - package org.apache.mahout.cf.taste.impl.common
org.apache.mahout.cf.taste.impl.common.jdbc - package org.apache.mahout.cf.taste.impl.common.jdbc
org.apache.mahout.cf.taste.impl.eval - package org.apache.mahout.cf.taste.impl.eval
org.apache.mahout.cf.taste.impl.model - package org.apache.mahout.cf.taste.impl.model
org.apache.mahout.cf.taste.impl.model.file - package org.apache.mahout.cf.taste.impl.model.file
org.apache.mahout.cf.taste.impl.model.jdbc - package org.apache.mahout.cf.taste.impl.model.jdbc
org.apache.mahout.cf.taste.impl.neighborhood - package org.apache.mahout.cf.taste.impl.neighborhood
org.apache.mahout.cf.taste.impl.recommender - package org.apache.mahout.cf.taste.impl.recommender
org.apache.mahout.cf.taste.impl.recommender.knn - package org.apache.mahout.cf.taste.impl.recommender.knn
org.apache.mahout.cf.taste.impl.recommender.slopeone - package org.apache.mahout.cf.taste.impl.recommender.slopeone
org.apache.mahout.cf.taste.impl.recommender.slopeone.file - package org.apache.mahout.cf.taste.impl.recommender.slopeone.file
org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc - package org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc
org.apache.mahout.cf.taste.impl.recommender.svd - package org.apache.mahout.cf.taste.impl.recommender.svd
org.apache.mahout.cf.taste.impl.similarity - package org.apache.mahout.cf.taste.impl.similarity
org.apache.mahout.cf.taste.impl.similarity.file - package org.apache.mahout.cf.taste.impl.similarity.file
org.apache.mahout.cf.taste.impl.similarity.jdbc - package org.apache.mahout.cf.taste.impl.similarity.jdbc
org.apache.mahout.cf.taste.impl.transforms - package org.apache.mahout.cf.taste.impl.transforms
org.apache.mahout.cf.taste.model - package org.apache.mahout.cf.taste.model
org.apache.mahout.cf.taste.neighborhood - package org.apache.mahout.cf.taste.neighborhood
org.apache.mahout.cf.taste.recommender - package org.apache.mahout.cf.taste.recommender
org.apache.mahout.cf.taste.recommender.slopeone - package org.apache.mahout.cf.taste.recommender.slopeone
org.apache.mahout.cf.taste.similarity - package org.apache.mahout.cf.taste.similarity
org.apache.mahout.cf.taste.transforms - package org.apache.mahout.cf.taste.transforms
org.apache.mahout.classifier - package org.apache.mahout.classifier
org.apache.mahout.classifier.bayes - package org.apache.mahout.classifier.bayes
org.apache.mahout.classifier.bayes.algorithm - package org.apache.mahout.classifier.bayes.algorithm
org.apache.mahout.classifier.bayes.common - package org.apache.mahout.classifier.bayes.common
org.apache.mahout.classifier.bayes.datastore - package org.apache.mahout.classifier.bayes.datastore
org.apache.mahout.classifier.bayes.exceptions - package org.apache.mahout.classifier.bayes.exceptions
org.apache.mahout.classifier.bayes.interfaces - package org.apache.mahout.classifier.bayes.interfaces
org.apache.mahout.classifier.bayes.io - package org.apache.mahout.classifier.bayes.io
org.apache.mahout.classifier.bayes.mapreduce.bayes - package org.apache.mahout.classifier.bayes.mapreduce.bayes
org.apache.mahout.classifier.bayes.mapreduce.cbayes - package org.apache.mahout.classifier.bayes.mapreduce.cbayes
org.apache.mahout.classifier.bayes.mapreduce.common - package org.apache.mahout.classifier.bayes.mapreduce.common
org.apache.mahout.classifier.bayes.model - package org.apache.mahout.classifier.bayes.model
org.apache.mahout.classifier.discriminative - package org.apache.mahout.classifier.discriminative
org.apache.mahout.classifier.evaluation - package org.apache.mahout.classifier.evaluation
org.apache.mahout.classifier.naivebayes - package org.apache.mahout.classifier.naivebayes
org.apache.mahout.classifier.naivebayes.trainer - package org.apache.mahout.classifier.naivebayes.trainer
org.apache.mahout.classifier.sequencelearning.hmm - package org.apache.mahout.classifier.sequencelearning.hmm
org.apache.mahout.classifier.sgd - package org.apache.mahout.classifier.sgd
  Implements a variety of on-line logistric regression classifiers using SGD-based algorithms.
org.apache.mahout.clustering - package org.apache.mahout.clustering
  This package provides several clustering algorithm implementations.
org.apache.mahout.clustering.canopy - package org.apache.mahout.clustering.canopy
org.apache.mahout.clustering.dirichlet - package org.apache.mahout.clustering.dirichlet
org.apache.mahout.clustering.dirichlet.models - package org.apache.mahout.clustering.dirichlet.models
org.apache.mahout.clustering.fuzzykmeans - package org.apache.mahout.clustering.fuzzykmeans
org.apache.mahout.clustering.kmeans - package org.apache.mahout.clustering.kmeans
  This package provides an implementation of the k-means clustering algorithm.
org.apache.mahout.clustering.lda - package org.apache.mahout.clustering.lda
org.apache.mahout.clustering.meanshift - package org.apache.mahout.clustering.meanshift
org.apache.mahout.clustering.minhash - package org.apache.mahout.clustering.minhash
org.apache.mahout.clustering.spectral.common - package org.apache.mahout.clustering.spectral.common
org.apache.mahout.clustering.spectral.eigencuts - package org.apache.mahout.clustering.spectral.eigencuts
org.apache.mahout.clustering.spectral.kmeans - package org.apache.mahout.clustering.spectral.kmeans
org.apache.mahout.common - package org.apache.mahout.common
org.apache.mahout.common.cache - package org.apache.mahout.common.cache
org.apache.mahout.common.commandline - package org.apache.mahout.common.commandline
org.apache.mahout.common.distance - package org.apache.mahout.common.distance
org.apache.mahout.common.iterator - package org.apache.mahout.common.iterator
org.apache.mahout.common.nlp - package org.apache.mahout.common.nlp
org.apache.mahout.common.parameters - package org.apache.mahout.common.parameters
org.apache.mahout.df - package org.apache.mahout.df
org.apache.mahout.df.builder - package org.apache.mahout.df.builder
org.apache.mahout.df.callback - package org.apache.mahout.df.callback
org.apache.mahout.df.data - package org.apache.mahout.df.data
org.apache.mahout.df.data.conditions - package org.apache.mahout.df.data.conditions
org.apache.mahout.df.mapreduce - package org.apache.mahout.df.mapreduce
org.apache.mahout.df.mapreduce.inmem - package org.apache.mahout.df.mapreduce.inmem
  In-memory mapreduce implementation of Random Decision Forests
  Each mapper is responsible for growing a number of trees with a whole copy of the dataset loaded in memory, it uses the reference implementation's code to build each tree and estimate the oob error.
  The dataset is distributed to the slave nodes using the DistributedCache.
org.apache.mahout.df.mapreduce.partial - package org.apache.mahout.df.mapreduce.partial
  Partial-data mapreduce implementation of Random Decision Forests
  The builder splits the data, using a FileInputSplit, among the mappers.
org.apache.mahout.df.node - package org.apache.mahout.df.node
org.apache.mahout.df.ref - package org.apache.mahout.df.ref
org.apache.mahout.df.split - package org.apache.mahout.df.split
org.apache.mahout.df.tools - package org.apache.mahout.df.tools
org.apache.mahout.driver - package org.apache.mahout.driver
org.apache.mahout.ep - package org.apache.mahout.ep
  Provides basic evolutionary optimization using recorded-step mutation.
org.apache.mahout.fpm.pfpgrowth - package org.apache.mahout.fpm.pfpgrowth
  Map/Reduce(Parallel) implementation of FP Growth Algorithm for frequent Itemset Mining
  We have a Top K Parallel FPGrowth Implementation.
org.apache.mahout.fpm.pfpgrowth.convertors - package org.apache.mahout.fpm.pfpgrowth.convertors
org.apache.mahout.fpm.pfpgrowth.convertors.integer - package org.apache.mahout.fpm.pfpgrowth.convertors.integer
org.apache.mahout.fpm.pfpgrowth.convertors.string - package org.apache.mahout.fpm.pfpgrowth.convertors.string
org.apache.mahout.fpm.pfpgrowth.fpgrowth - package org.apache.mahout.fpm.pfpgrowth.fpgrowth
org.apache.mahout.ga.watchmaker - package org.apache.mahout.ga.watchmaker
org.apache.mahout.math - package org.apache.mahout.math
org.apache.mahout.math.hadoop - package org.apache.mahout.math.hadoop
org.apache.mahout.math.hadoop.decomposer - package org.apache.mahout.math.hadoop.decomposer
org.apache.mahout.math.hadoop.similarity - package org.apache.mahout.math.hadoop.similarity
org.apache.mahout.math.hadoop.similarity.vector - package org.apache.mahout.math.hadoop.similarity.vector
org.apache.mahout.math.stats - package org.apache.mahout.math.stats
org.apache.mahout.vectorizer - package org.apache.mahout.vectorizer
org.apache.mahout.vectorizer.collocations.llr - package org.apache.mahout.vectorizer.collocations.llr
org.apache.mahout.vectorizer.common - package org.apache.mahout.vectorizer.common
org.apache.mahout.vectorizer.document - package org.apache.mahout.vectorizer.document
org.apache.mahout.vectorizer.encoders - package org.apache.mahout.vectorizer.encoders
org.apache.mahout.vectorizer.term - package org.apache.mahout.vectorizer.term
org.apache.mahout.vectorizer.tfidf - package org.apache.mahout.vectorizer.tfidf
OUTPUT - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
OUTPUT_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
OUTPUT_VECTOR_DIMENSION - Static variable in class org.apache.mahout.math.hadoop.TimesSquaredJob
OUTPUT_VECTOR_FILENAME - Static variable in class org.apache.mahout.math.hadoop.TimesSquaredJob
OutputLogFilter - Class in org.apache.mahout.clustering.kmeans
OutputLogFilter() - Constructor for class org.apache.mahout.clustering.kmeans.OutputLogFilter
outputOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for output directory specification.
outputPointWithClusterInfo(Vector, Iterable<Cluster>, Mapper<?, ?, IntWritable, WeightedVectorWritable>.Context) - Method in class org.apache.mahout.clustering.kmeans.KMeansClusterer
OutputUtils - Class in org.apache.mahout.ga.watchmaker
  Utility Class that deals with the output.
OVERSHOOT_MULTIPLIER - Static variable in class org.apache.mahout.clustering.spectral.eigencuts.EigencutsDriver
OVERSHOOT_MULTIPLIER - Static variable in class org.apache.mahout.clustering.spectral.kmeans.SpectralKMeansDriver
OVERWRITE_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
overwriteOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for output directory overwriting.
overwriteOutput(Path) - Static method in class org.apache.mahout.common.HadoopUtil

## P

Pair<A,B> - Class in org.apache.mahout.common
  A simple (ordered) pair of two objects.
Pair(A, B) - Constructor for class org.apache.mahout.common.Pair
PARALLEL_COUNTING - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
ParallelCountingMapper - Class in org.apache.mahout.fpm.pfpgrowth
  maps all items in a particular transaction like the way it is done in Hadoop WordCount example
ParallelCountingMapper() - Constructor for class org.apache.mahout.fpm.pfpgrowth.ParallelCountingMapper
ParallelCountingReducer - Class in org.apache.mahout.fpm.pfpgrowth
  sums up the item count and output the item and the count This can also be used as a local Combiner.
ParallelCountingReducer() - Constructor for class org.apache.mahout.fpm.pfpgrowth.ParallelCountingReducer
parallelDo(EvolutionaryProcess.Function<T>) - Method in class org.apache.mahout.ep.EvolutionaryProcess
  Execute an operation on all of the members of the population with many threads.
ParallelFPGrowthCombiner - Class in org.apache.mahout.fpm.pfpgrowth
  takes each group of dependent transactions and\ compacts it in a TransactionTree structure
ParallelFPGrowthCombiner() - Constructor for class org.apache.mahout.fpm.pfpgrowth.ParallelFPGrowthCombiner
ParallelFPGrowthMapper - Class in org.apache.mahout.fpm.pfpgrowth
  maps each transaction to all unique items groups in the transaction.
ParallelFPGrowthMapper() - Constructor for class org.apache.mahout.fpm.pfpgrowth.ParallelFPGrowthMapper
ParallelFPGrowthReducer - Class in org.apache.mahout.fpm.pfpgrowth
  takes each group of transactions and runs Vanilla FPGrowth on it and outputs the the Top K frequent Patterns for each group.
ParallelFPGrowthReducer() - Constructor for class org.apache.mahout.fpm.pfpgrowth.ParallelFPGrowthReducer
Parameter<T> - Interface in org.apache.mahout.common.parameters
  An accessor to a parameters in the job.
Parametered - Interface in org.apache.mahout.common.parameters
  Meta information and accessors for configuring a job.
Parametered.ParameteredGeneralizations - Class in org.apache.mahout.common.parameters
  "multiple inheritance"
Parameters - Class in org.apache.mahout.common
Parameters() - Constructor for class org.apache.mahout.common.Parameters
parent(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
parseArguments(String[]) - Method in class org.apache.mahout.common.AbstractJob
  Parse the arguments specified based on the options defined using the various `addOption` methods.
parseDescriptor(String) - Static method in class org.apache.mahout.df.data.DescriptorUtils
  Parses a descriptor string and generates the corresponding array of Attributes
parseDirectories(CommandLine) - Method in class org.apache.mahout.common.AbstractJob
  Obtain input and output directories from command-line options or hadoop properties.
parseMetaData() - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVector
parseOutput(Job, PredictionCallback) - Method in class org.apache.mahout.df.mapreduce.Builder
  Parse the output files to extract the trees and pass the predictions to the callback
parseOutput(Job, PredictionCallback) - Method in class org.apache.mahout.df.mapreduce.inmem.InMemBuilder
parseOutput(Job, PredictionCallback) - Method in class org.apache.mahout.df.mapreduce.partial.PartialBuilder
parseOutput(JobContext) - Method in class org.apache.mahout.df.mapreduce.partial.Step0Job
  Extracts the output and processes it
parseOutput(Job, PredictionCallback) - Method in class org.apache.mahout.df.mapreduce.partial.Step2Job
  Extracts the output and processes it
parseOutput(JobContext) - Method in class org.apache.mahout.df.tools.FrequenciesJob
  Extracts the output and processes it
PartialBuilder - Class in org.apache.mahout.df.mapreduce.partial
  Builds a random forest using partial data.
PartialBuilder(TreeBuilder, Path, Path, Long) - Constructor for class org.apache.mahout.df.mapreduce.partial.PartialBuilder
PartialBuilder(TreeBuilder, Path, Path, Long, Configuration) - Constructor for class org.apache.mahout.df.mapreduce.partial.PartialBuilder
PartialMultiplyMapper - Class in org.apache.mahout.cf.taste.hadoop.item
  maps similar items and their preference values per user
PartialMultiplyMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.PartialMultiplyMapper
PartialVectorMerger - Class in org.apache.mahout.vectorizer.common
  This class groups a set of input vectors.
PartialVectorMergeReducer - Class in org.apache.mahout.vectorizer.common
  Merges partial vectors in to a full sparse vector
PartialVectorMergeReducer() - Constructor for class org.apache.mahout.vectorizer.common.PartialVectorMergeReducer
partition() - Method in class org.apache.mahout.df.mapreduce.partial.TreeID
  Data partition (InputSplit's index) that was used to grow the tree
PARTS_FILTER - Static variable in class org.apache.mahout.cf.taste.hadoop.TasteHadoopUtils
  A path filter used to read files written by Hadoop.
PathParameter - Class in org.apache.mahout.common.parameters
PathParameter(String, String, Configuration, Path, String) - Constructor for class org.apache.mahout.common.parameters.PathParameter
Pattern - Class in org.apache.mahout.fpm.pfpgrowth.fpgrowth
  A in FPGrowth is a list of items (here int) and the support(the number of times the pattern is seen in the dataset)
Pattern() - Constructor for class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
Payload<T> - Interface in org.apache.mahout.ep
  Payloads for evolutionary state must be copyable and updatable.
pdf(VectorWritable) - Method in class org.apache.mahout.clustering.dirichlet.DirichletCluster
pdf(VectorWritable) - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
pdf(VectorWritable) - Method in class org.apache.mahout.clustering.dirichlet.models.GaussianCluster
pdf(VectorWritable) - Method in class org.apache.mahout.clustering.dirichlet.models.L1Model
pdf(VectorWritable) - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModel
pdf(VectorWritable) - Method in class org.apache.mahout.clustering.DistanceMeasureCluster
pdf(VectorWritable) - Method in class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
pdf(VectorWritable) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopy
pdf(O) - Method in interface org.apache.mahout.clustering.Model
  Return the probability that the observation is described by this model
PearsonCorrelationSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
  An implementation of the Pearson correlation.
PearsonCorrelationSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.PearsonCorrelationSimilarity
PearsonCorrelationSimilarity(DataModel, Weighting) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.PearsonCorrelationSimilarity
peek() - Method in class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
peek() - Method in interface org.apache.mahout.cf.taste.impl.common.LongPrimitiveIterator
peek() - Method in class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator
peek() - Method in class org.apache.mahout.common.FileLineIterator
percentCorrect() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
PerceptronTrainer - Class in org.apache.mahout.classifier.discriminative
  Implements training according to the perceptron update rule.
PerceptronTrainer(int, double, double, double, double) - Constructor for class org.apache.mahout.classifier.discriminative.PerceptronTrainer
performEigenDecomposition(Configuration, DistributedRowMatrix, int, int, List<Double>, Matrix, Path) - Static method in class org.apache.mahout.clustering.spectral.eigencuts.EigencutsDriver
  Does most of the heavy lifting in setting up Paths, configuring return values, and generally performing the tedious administrative tasks involved in an eigen-decomposition and running the verifier
PermutingIterator<T> - Class in org.apache.mahout.common.iterator
  An `Iterator` that iterates in a random order over a given sequence of elements.
PermutingIterator(T[]) - Constructor for class org.apache.mahout.common.iterator.PermutingIterator
perTermLearningRate(int) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
perTermLearningRate(int) - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
PFP_PARAMETERS - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
PFPGrowth - Class in org.apache.mahout.fpm.pfpgrowth
  Parallel FP Growth Driver Class.
phi(int, int) - Method in class org.apache.mahout.clustering.lda.LDAInference.InferredDocument
PlusAnonymousUserDataModel - Class in org.apache.mahout.cf.taste.impl.model
  This `DataModel` decorator class is useful in a situation where you wish to recommend to a user that doesn't really exist yet in your actual `DataModel`.
PlusAnonymousUserDataModel(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
predict(HmmModel, int) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmEvaluator
  Predict a sequence of steps output states for the given HMM model
predict(HmmModel, int, long) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmEvaluator
  Predict a sequence of steps output states for the given HMM model using the given seed for probabilistic experiments
prediction(int, int, int) - Method in class org.apache.mahout.df.callback.ForestPredictions
prediction(int, int, int) - Method in class org.apache.mahout.df.callback.MeanTreeCollector
prediction(int, int, int) - Method in class org.apache.mahout.df.callback.MultiCallback
prediction(int, int, int) - Method in interface org.apache.mahout.df.callback.PredictionCallback
  called when an instance has been classified
prediction(int, int, int) - Method in class org.apache.mahout.df.callback.SingleTreePredictions
PredictionCallback - Interface in org.apache.mahout.df.callback
  Called each time an instance has been classified
PrefAndSimilarityColumnWritable - Class in org.apache.mahout.cf.taste.hadoop.item
PrefAndSimilarityColumnWritable() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable
PrefAndSimilarityColumnWritable(float, Vector) - Constructor for class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable
Preference - Interface in org.apache.mahout.cf.taste.model
  A encapsulates an item and a preference value, which indicates the strength of the preference for it.
PreferenceArray - Interface in org.apache.mahout.cf.taste.model
  An alternate representation of an array of `Preference`.
PreferenceInferrer - Interface in org.apache.mahout.cf.taste.similarity
  Implementations of this interface compute an inferred preference for a user and an item that the user has not expressed any preference for.
PreferenceTransform - Interface in org.apache.mahout.cf.taste.transforms
  Implementations encapsulate a transform on a `Preference`'s value.
PreferredItemsNeighborhoodCandidateItemsStrategy - Class in org.apache.mahout.cf.taste.impl.recommender
  returns all items that have not been rated by the user and that were preferred by another user that has preferred at least one item that the current user has preferred too
PreferredItemsNeighborhoodCandidateItemsStrategy() - Constructor for class org.apache.mahout.cf.taste.impl.recommender.PreferredItemsNeighborhoodCandidateItemsStrategy
prefix() - Method in class org.apache.mahout.common.parameters.AbstractParameter
prefix() - Method in interface org.apache.mahout.common.parameters.Parameter
prepareJob(Path, Path, Class<? extends InputFormat>, Class<? extends Mapper>, Class<? extends Writable>, Class<? extends Writable>, Class<? extends Reducer>, Class<? extends Writable>, Class<? extends Writable>, Class<? extends OutputFormat>) - Method in class org.apache.mahout.common.AbstractJob
print() - Method in class org.apache.mahout.common.Parameters
printHelp(Group) - Static method in class org.apache.mahout.common.CommandLineUtil
printHelpWithGenericOptions(Group) - Static method in class org.apache.mahout.common.CommandLineUtil
  Print the options supported by `GenericOptionsParser`.
printHelpWithGenericOptions(Group, OptionException) - Static method in class org.apache.mahout.common.CommandLineUtil
prior - Variable in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
PriorFunction - Interface in org.apache.mahout.classifier.sgd
  A prior is used to regularize the learning algorithm.
processFile(FileLineIterator, FastByIDMap<?>, FastByIDMap<FastByIDMap<Long>>, boolean) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
processFileWithoutID(FileLineIterator, FastByIDMap<FastIDSet>, FastByIDMap<FastByIDMap<Long>>) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
processLine(String, FastByIDMap<?>, FastByIDMap<FastByIDMap<Long>>, boolean) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
  Reads one line from the input file and adds the data to a `FastByIDMap` data structure which maps user IDs to preferences.
processLine(String, Vector) - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory
  Decodes a single line of csv data and records the target and predictor variables in a record.
processLine(String, Vector) - Method in interface org.apache.mahout.classifier.sgd.RecordFactory
processLineWithoutID(String, FastByIDMap<FastIDSet>, FastByIDMap<FastByIDMap<Long>>) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
processOutput(JobContext, Path, int[], TreeID[], Node[], PredictionCallback) - Static method in class org.apache.mahout.df.mapreduce.partial.PartialBuilder
  Processes the output from the output path.
processOutput(List<Integer>, List<Step0Job.Step0Output>) - Static method in class org.apache.mahout.df.mapreduce.partial.Step0Job
  Replaces the first id for each partition in Hadoop's order
processSubgram(GramKey, Iterator<Gram>, Reducer<GramKey, Gram, Gram, Gram>.Context) - Method in class org.apache.mahout.vectorizer.collocations.llr.CollocReducer
  Sum frequencies for subgram, ngrams and deliver ngram, subgram pairs to the collector.
processTfIdf(Path, Path, int, int, int, float, boolean, boolean, boolean, int) - Static method in class org.apache.mahout.vectorizer.tfidf.TFIDFConverter
  Create Term Frequency-Inverse Document Frequency (Tf-Idf) Vectors from the input set of vectors in `SequenceFile` format.
processUnigram(GramKey, Iterator<Gram>, Reducer<GramKey, Gram, Gram, Gram>.Context) - Method in class org.apache.mahout.vectorizer.collocations.llr.CollocReducer
  Sum frequencies for unigrams and deliver to the collector
PROTOTYPE_SIZE_KEY - Static variable in class org.apache.mahout.clustering.dirichlet.DirichletDriver
put(long, V) - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
put(K, V) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
putAll(Map<? extends K, ? extends V>) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
putCount(String, String, int) - Method in class org.apache.mahout.classifier.ConfusionMatrix

## Q

quickGet(K) - Method in class org.apache.mahout.common.cache.LFUCache
quietClose(Closeable) - Static method in class org.apache.mahout.common.IOUtils
quietClose(ResultSet) - Static method in class org.apache.mahout.common.IOUtils
quietClose(Statement) - Static method in class org.apache.mahout.common.IOUtils
quietClose(Connection) - Static method in class org.apache.mahout.common.IOUtils
quietClose(ResultSet, Statement, Connection) - Static method in class org.apache.mahout.common.IOUtils
  Closes a `ResultSet`, `Statement` and `Connection` (if not null) and logs (but does not rethrow) any resulting `SQLException`.

## R

randomAttributes(Random, boolean[], int) - Static method in class org.apache.mahout.df.builder.DefaultTreeBuilder
  Randomly selects m attributes to consider for split, excludes IGNORED and LABEL attributes
RandomRecommender - Class in org.apache.mahout.cf.taste.impl.recommender
  Produces random recommendations and preference estimates.
RandomRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.RandomRecommender
RandomSeedGenerator - Class in org.apache.mahout.clustering.kmeans
  Given an Input Path containing a `SequenceFile`, randomly select k vectors and write them to the output file as a `Cluster` representing the initial centroid to use.
RankingGradient - Class in org.apache.mahout.classifier.sgd
  Uses the difference between this instance and recent history to get a gradient that optimizes ranking performance.
RankingGradient(int) - Constructor for class org.apache.mahout.classifier.sgd.RankingGradient
RAW_EIGENVECTORS - Static variable in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
rBeta(double, double) - Static method in class org.apache.mahout.clustering.dirichlet.UncommonDistributions
  Returns a random sample from a beta distribution with the given shapes
rBeta(int, double, double) - Static method in class org.apache.mahout.clustering.dirichlet.UncommonDistributions
  Returns a vector of random samples from a beta distribution with the given shapes
rBinomial(int, double) - Static method in class org.apache.mahout.clustering.dirichlet.UncommonDistributions
  Returns an integer sampled according to this distribution.
rChisq(double) - Static method in class org.apache.mahout.clustering.dirichlet.UncommonDistributions
  Return a random sample from the chi-squared (chi^2) distribution with df degrees of freedom.
rDirichlet(Vector, double) - Static method in class org.apache.mahout.clustering.dirichlet.UncommonDistributions
  Sample from a Dirichlet distribution, returning a vector of probabilities using a stick-breaking algorithm
read(DataInput) - Static method in class org.apache.mahout.df.data.Dataset
read(DataInput) - Static method in class org.apache.mahout.df.DecisionForest
read(DataInput) - Static method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
read(DataInput) - Static method in class org.apache.mahout.df.mapreduce.MapredOutput
read(DataInput) - Static method in class org.apache.mahout.df.node.Node
read(DataInput) - Static method in class org.apache.mahout.math.MultiLabelVectorWritable
readDoubleArray(DataInput) - Static method in class org.apache.mahout.df.DFUtils
  Reads a double[] from a DataInput
readerToDocument(Analyzer, Reader) - Static method in class org.apache.mahout.classifier.BayesFileFormatter
  Convert a Reader to a vector
readFields(DataInput) - Method in class org.apache.mahout.cf.taste.hadoop.EntityCountWritable
readFields(DataInput) - Method in class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable
readFields(DataInput) - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
readFields(DataInput) - Method in class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable
readFields(DataInput) - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorAndPrefsWritable
readFields(DataInput) - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable
readFields(DataInput) - Method in class org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable
readFields(DataInput) - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.CountUsersKeyWritable
readFields(DataInput) - Method in class org.apache.mahout.clustering.AbstractCluster
readFields(DataInput) - Method in class org.apache.mahout.clustering.ClusterObservations
readFields(DataInput) - Method in class org.apache.mahout.clustering.dirichlet.DirichletCluster
readFields(DataInput) - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
readFields(DataInput) - Method in class org.apache.mahout.clustering.dirichlet.models.L1Model
readFields(DataInput) - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModel
readFields(DataInput) - Method in class org.apache.mahout.clustering.DistanceMeasureCluster
readFields(DataInput) - Method in class org.apache.mahout.clustering.kmeans.Cluster
readFields(DataInput) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopy
readFields(DataInput) - Method in class org.apache.mahout.clustering.spectral.common.IntDoublePairWritable
readFields(DataInput) - Method in class org.apache.mahout.clustering.spectral.common.VertexWritable
readFields(DataInput) - Method in class org.apache.mahout.clustering.spectral.eigencuts.EigencutsSensitivityNode
readFields(DataInput) - Method in class org.apache.mahout.clustering.WeightedVectorWritable
readFields(DataInput) - Method in class org.apache.mahout.common.IntegerTuple
readFields(DataInput) - Method in class org.apache.mahout.common.IntPairWritable
readFields(DataInput) - Method in class org.apache.mahout.common.IntTuple
readFields(DataInput) - Method in class org.apache.mahout.common.StringTuple
readFields(DataInput) - Method in class org.apache.mahout.df.data.Dataset
readFields(DataInput) - Method in class org.apache.mahout.df.DecisionForest
  Reads the trees from the input and adds them to the existing trees
readFields(DataInput) - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
readFields(DataInput) - Method in class org.apache.mahout.df.mapreduce.MapredOutput
readFields(DataInput) - Method in class org.apache.mahout.df.mapreduce.partial.Step0Job.Step0Output
readFields(DataInput) - Method in class org.apache.mahout.df.node.CategoricalNode
readFields(DataInput) - Method in class org.apache.mahout.df.node.Leaf
readFields(DataInput) - Method in class org.apache.mahout.df.node.NumericalNode
readFields(DataInput) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.string.TopKStringPatterns
readFields(DataInput) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
readFields(DataInput) - Method in class org.apache.mahout.math.DenseMatrixWritable
readFields(DataInput) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
readFields(DataInput) - Method in class org.apache.mahout.math.hadoop.similarity.Cooccurrence
readFields(DataInput) - Method in class org.apache.mahout.math.hadoop.similarity.SimilarityMatrixEntryKey
readFields(DataInput) - Method in class org.apache.mahout.math.hadoop.similarity.WeightedRowPair
readFields(DataInput) - Method in class org.apache.mahout.math.MatrixWritable
readFields(DataInput) - Method in class org.apache.mahout.math.MultiLabelVectorWritable
readFields(DataInput) - Method in class org.apache.mahout.math.VarIntWritable
readFields(DataInput) - Method in class org.apache.mahout.math.VarLongWritable
readFields(DataInput) - Method in class org.apache.mahout.math.VectorWritable
readFields(DataInput) - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram
readFields(DataInput) - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey
readFList(Parameters) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
  read the feature frequency List which is built at the end of the Parallel counting job
readFrequentPattern(FileSystem, Configuration, Path) - Static method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPGrowth
readFrequentPattern(Parameters) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
  Read the Frequent Patterns generated from Text
readIntArray(DataInput) - Static method in class org.apache.mahout.df.DFUtils
  Reads an int[] from a DataInput
readIntFromFile(Configuration, Path) - Static method in class org.apache.mahout.cf.taste.hadoop.TasteHadoopUtils
  Reads a text-based outputfile that only contains an int
readItemIDFromString(String) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
  Subclasses may wish to override this if ID values in the file are not numeric.
readItemIDIndexMap(String, Configuration) - Static method in class org.apache.mahout.cf.taste.hadoop.TasteHadoopUtils
  Reads a binary mapping file
readLabelDocumentCounts(FileSystem, Path, Configuration) - Static method in class org.apache.mahout.classifier.bayes.io.SequenceFileModelReader
readLabels(DataInput, Map<String, Integer>, Map<String, Integer>) - Static method in class org.apache.mahout.math.MatrixWritable
readLabelSums(FileSystem, Path, Configuration) - Static method in class org.apache.mahout.classifier.bayes.io.SequenceFileModelReader
readMatrix(DataInput) - Static method in class org.apache.mahout.math.MatrixWritable
  Reads a typed Matrix instance from the input stream
readModel(DataInput) - Static method in class org.apache.mahout.clustering.dirichlet.DirichletCluster
  Reads a typed Model instance from the input stream
readNodeArray(DataInput) - Static method in class org.apache.mahout.df.DFUtils
  Reads a Node[] from a DataInput
readPrototypeSize(Path) - Static method in class org.apache.mahout.clustering.dirichlet.DirichletDriver
  Read the first input vector to determine the prototype size for the modelPrototype
readResult(FileSystem, Path, Configuration, Parameters) - Static method in class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesClassifierDriver
readSigmaJSigmaK(FileSystem, Path, Configuration) - Static method in class org.apache.mahout.classifier.bayes.io.SequenceFileModelReader
readSignedVarInt(DataInput) - Static method in class org.apache.mahout.math.Varint
readSignedVarLong(DataInput) - Static method in class org.apache.mahout.math.Varint
readTimestampFromString(String) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
  Subclasses may wish to override this to change how time values in the input file are parsed.
readUnsignedVarInt(DataInput) - Static method in class org.apache.mahout.math.Varint
readUnsignedVarLong(DataInput) - Static method in class org.apache.mahout.math.Varint
readUserIDFromString(String) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
  Subclasses may wish to override this if ID values in the file are not numeric.
readVocabCount(FileSystem, Path, Configuration) - Static method in class org.apache.mahout.classifier.bayes.io.SequenceFileModelReader
recommend(long, int) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender
  Default implementation which just calls `Recommender.recommend(long, int, org.apache.mahout.cf.taste.recommender.IDRescorer)`, with a `Rescorer` that does nothing.
recommend(long, int) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemAverageRecommender
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemUserAverageRecommender
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.impl.recommender.RandomRecommender
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.SlopeOneRecommender
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.SVDRecommender
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender2
recommend(long, int) - Method in interface org.apache.mahout.cf.taste.recommender.Recommender
recommend(long, int, IDRescorer) - Method in interface org.apache.mahout.cf.taste.recommender.Recommender
recommendedBecause(long, long, int) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
recommendedBecause(long, long, int) - Method in interface org.apache.mahout.cf.taste.recommender.ItemBasedRecommender
  Lists the items that were most influential in recommending a given item to a given user.
RecommendedItem - Interface in org.apache.mahout.cf.taste.recommender
  Implementations encapsulate items that are recommended, and include the item recommended and a value expressing the strength of the preference.
RecommendedItemsWritable - Class in org.apache.mahout.cf.taste.hadoop
  A `Writable` which encapsulates a list of `RecommendedItem`s.
RecommendedItemsWritable() - Constructor for class org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable
RecommendedItemsWritable(List<RecommendedItem>) - Constructor for class org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable
Recommender - Interface in org.apache.mahout.cf.taste.recommender
  Implementations of this interface can recommend items for a user.
RecommenderBuilder - Interface in org.apache.mahout.cf.taste.eval
  Implementations of this inner interface are simple helper classes which create a `Recommender` to be evaluated based on the given `DataModel`.
RecommenderEvaluator - Interface in org.apache.mahout.cf.taste.eval
  Implementations of this interface evaluate the quality of a `Recommender`'s recommendations.
RecommenderIRStatsEvaluator - Interface in org.apache.mahout.cf.taste.eval
  Implementations collect information retrieval-related statistics on a `Recommender`'s performance, including precision, recall and f-measure.
RecommenderJob - Class in org.apache.mahout.cf.taste.hadoop.item
  Runs a completely distributed recommender job as a series of mapreduces.
RecommenderJob() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.RecommenderJob
RecommenderJob - Class in org.apache.mahout.cf.taste.hadoop.pseudo
  This job runs a "pseudo-distributed" recommendation process on Hadoop.
RecommenderJob() - Constructor for class org.apache.mahout.cf.taste.hadoop.pseudo.RecommenderJob
RecommenderReducer - Class in org.apache.mahout.cf.taste.hadoop.pseudo
  The `Reducer` which takes as input the user IDs parsed out by the map phase, and for each unique user ID, computes recommendations with the configured `Recommender`.
RecommenderReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.pseudo.RecommenderReducer
RecordFactory - Interface in org.apache.mahout.classifier.sgd
  A record factor understands how to convert a line of data into fields and then into a vector.
reduce(VarLongWritable, Iterable<PrefAndSimilarityColumnWritable>, Reducer<VarLongWritable, PrefAndSimilarityColumnWritable, VarLongWritable, RecommendedItemsWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.AggregateAndRecommendReducer
reduce(VarLongWritable, Iterable<VarLongWritable>, Reducer<VarLongWritable, VarLongWritable, VarIntWritable, VectorAndPrefsWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.ItemFilterAsVectorAndPrefsReducer
reduce(VarIntWritable, Iterable<VarLongWritable>, Reducer<VarIntWritable, VarLongWritable, VarIntWritable, VarLongWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.ItemIDIndexReducer
reduce(VarLongWritable, Iterable<VarLongWritable>, Reducer<VarLongWritable, VarLongWritable, VarLongWritable, VectorWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.ToUserVectorReducer
reduce(VarIntWritable, Iterable<VectorOrPrefWritable>, Reducer<VarIntWritable, VectorOrPrefWritable, VarIntWritable, VectorAndPrefsWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.ToVectorAndPrefReducer
reduce(VarLongWritable, Iterable<NullWritable>, Reducer<VarLongWritable, NullWritable, VarLongWritable, RecommendedItemsWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.pseudo.RecommenderReducer
reduce(CountUsersKeyWritable, Iterable<VarLongWritable>, Reducer<CountUsersKeyWritable, VarLongWritable, VarIntWritable, NullWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.CountUsersReducer
reduce(EntityEntityWritable, Iterable<DoubleWritable>, Reducer<EntityEntityWritable, DoubleWritable, EntityEntityWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.MostSimilarItemPairsReducer
reduce(IntWritable, Iterable<DistributedRowMatrix.MatrixEntryWritable>, Reducer<IntWritable, DistributedRowMatrix.MatrixEntryWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.ToItemVectorsReducer
reduce(EntityEntityWritable, Iterable<FloatWritable>, Reducer<EntityEntityWritable, FloatWritable, EntityEntityWritable, FloatWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.slopeone.SlopeOneDiffsToAveragesReducer
reduce(VarLongWritable, Iterable<EntityPrefWritable>, Reducer<VarLongWritable, EntityPrefWritable, EntityEntityWritable, FloatWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.slopeone.SlopeOnePrefsToDiffsReducer
reduce(StringTuple, Iterator<DoubleWritable>, OutputCollector<StringTuple, DoubleWritable>, Reporter) - Method in class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesClassifierReducer
reduce(StringTuple, Iterator<DoubleWritable>, OutputCollector<StringTuple, DoubleWritable>, Reporter) - Method in class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesThetaNormalizerReducer
reduce(StringTuple, Iterator<DoubleWritable>, OutputCollector<StringTuple, DoubleWritable>, Reporter) - Method in class org.apache.mahout.classifier.bayes.mapreduce.cbayes.CBayesThetaNormalizerReducer
reduce(StringTuple, Iterator<DoubleWritable>, OutputCollector<StringTuple, DoubleWritable>, Reporter) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureCombiner
reduce(StringTuple, Iterator<DoubleWritable>, OutputCollector<StringTuple, DoubleWritable>, Reporter) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureReducer
reduce(StringTuple, Iterator<DoubleWritable>, OutputCollector<StringTuple, DoubleWritable>, Reporter) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesTfIdfReducer
reduce(StringTuple, Iterator<DoubleWritable>, OutputCollector<StringTuple, DoubleWritable>, Reporter) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesWeightSummerReducer
reduce(WritableComparable<?>, Iterable<VectorWritable>, Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.trainer.NaiveBayesSumReducer
reduce(Text, Iterable<VectorWritable>, Reducer<Text, VectorWritable, Text, Canopy>.Context) - Method in class org.apache.mahout.clustering.canopy.CanopyReducer
reduce(Text, Iterable<VectorWritable>, Reducer<Text, VectorWritable, Text, DirichletCluster>.Context) - Method in class org.apache.mahout.clustering.dirichlet.DirichletReducer
reduce(Text, Iterable<ClusterObservations>, Reducer<Text, ClusterObservations, Text, ClusterObservations>.Context) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansCombiner
reduce(Text, Iterable<ClusterObservations>, Reducer<Text, ClusterObservations, Text, SoftCluster>.Context) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansReducer
reduce(Text, Iterable<ClusterObservations>, Reducer<Text, ClusterObservations, Text, ClusterObservations>.Context) - Method in class org.apache.mahout.clustering.kmeans.KMeansCombiner
reduce(Text, Iterable<ClusterObservations>, Reducer<Text, ClusterObservations, Text, Cluster>.Context) - Method in class org.apache.mahout.clustering.kmeans.KMeansReducer
reduce(IntPairWritable, Iterable<DoubleWritable>, Reducer<IntPairWritable, DoubleWritable, IntPairWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.clustering.lda.LDAReducer
reduce(Text, Iterable<MeanShiftCanopy>, Reducer<Text, MeanShiftCanopy, Text, MeanShiftCanopy>.Context) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyReducer
reduce(Text, Iterable<Writable>, Reducer<Text, Writable, Text, Writable>.Context) - Method in class org.apache.mahout.clustering.minhash.MinHashReducer
  output the items clustered
reduce(IntWritable, Iterable<DistributedRowMatrix.MatrixEntryWritable>, Reducer<IntWritable, DistributedRowMatrix.MatrixEntryWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.spectral.common.AffinityMatrixInputReducer
reduce(NullWritable, Iterable<IntDoublePairWritable>, Reducer<NullWritable, IntDoublePairWritable, NullWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.spectral.common.MatrixDiagonalizeJob.MatrixDiagonalizeReducer
reduce(Text, Iterable<VertexWritable>, Reducer<Text, VertexWritable, Text, VertexWritable>.Context) - Method in class org.apache.mahout.clustering.spectral.eigencuts.EigencutsAffinityCutsJob.EigencutsAffinityCutsCombiner
reduce(Text, Iterable<VertexWritable>, Reducer<Text, VertexWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.spectral.eigencuts.EigencutsAffinityCutsJob.EigencutsAffinityCutsReducer
reduce(IntWritable, Iterable<EigencutsSensitivityNode>, Reducer<IntWritable, EigencutsSensitivityNode, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.spectral.eigencuts.EigencutsSensitivityReducer
reduce(Text, Iterable<TopKStringPatterns>, Reducer<Text, TopKStringPatterns, Text, TopKStringPatterns>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.AggregatorReducer
reduce(Text, Iterable<LongWritable>, Reducer<Text, LongWritable, Text, LongWritable>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.ParallelCountingReducer
reduce(LongWritable, Iterable<TransactionTree>, Reducer<LongWritable, TransactionTree, LongWritable, TransactionTree>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.ParallelFPGrowthCombiner
reduce(LongWritable, Iterable<TransactionTree>, Reducer<LongWritable, TransactionTree, Text, TopKStringPatterns>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.ParallelFPGrowthReducer
reduce(LongWritable, Iterable<TransactionTree>, Reducer<LongWritable, TransactionTree, LongWritable, TransactionTree>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionSortingReducer
reduce(IntWritable, Iterator<VectorWritable>, OutputCollector<IntWritable, VectorWritable>, Reporter) - Method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob.MatrixMultiplicationReducer
reduce(SimilarityMatrixEntryKey, Iterable<DistributedRowMatrix.MatrixEntryWritable>, Reducer<SimilarityMatrixEntryKey, DistributedRowMatrix.MatrixEntryWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.RowSimilarityJob.EntriesToVectorsReducer
reduce(WeightedRowPair, Iterable<Cooccurrence>, Reducer<WeightedRowPair, Cooccurrence, SimilarityMatrixEntryKey, DistributedRowMatrix.MatrixEntryWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.RowSimilarityJob.SimilarityReducer
reduce(VarIntWritable, Iterable<WeightedOccurrence>, Reducer<VarIntWritable, WeightedOccurrence, VarIntWritable, WeightedOccurrenceArray>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.RowSimilarityJob.WeightedOccurrencesPerColumnReducer
reduce(NullWritable, Iterator<VectorWritable>, OutputCollector<NullWritable, VectorWritable>, Reporter) - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.VectorSummingReducer
reduce(IntWritable, Iterator<DistributedRowMatrix.MatrixEntryWritable>, OutputCollector<IntWritable, VectorWritable>, Reporter) - Method in class org.apache.mahout.math.hadoop.TransposeJob.TransposeReducer
reduce(GramKey, Iterable<Gram>, Reducer<GramKey, Gram, GramKey, Gram>.Context) - Method in class org.apache.mahout.vectorizer.collocations.llr.CollocCombiner
reduce(GramKey, Iterable<Gram>, Reducer<GramKey, Gram, Gram, Gram>.Context) - Method in class org.apache.mahout.vectorizer.collocations.llr.CollocReducer
  collocation finder: pass 1 reduce phase:

  given input from the mapper,
reduce(Gram, Iterable<Gram>, Reducer<Gram, Gram, Text, DoubleWritable>.Context) - Method in class org.apache.mahout.vectorizer.collocations.llr.LLRReducer
  Perform LLR calculation, input is: k:ngram:ngramFreq v:(h_|t_)subgram:subgramfreq N = ngram total Each ngram will have 2 subgrams, a head and a tail, referred to as A and B respectively below.
reduce(WritableComparable<?>, Iterable<VectorWritable>, Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.common.PartialVectorMergeReducer
reduce(Text, Iterable<LongWritable>, Reducer<Text, LongWritable, Text, LongWritable>.Context) - Method in class org.apache.mahout.vectorizer.term.TermCountReducer
reduce(IntWritable, Iterable<LongWritable>, Reducer<IntWritable, LongWritable, IntWritable, LongWritable>.Context) - Method in class org.apache.mahout.vectorizer.term.TermDocumentCountReducer
reduce(Text, Iterable<StringTuple>, Reducer<Text, StringTuple, Text, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.term.TFPartialVectorReducer
reduce(WritableComparable<?>, Iterable<VectorWritable>, Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.tfidf.TFIDFPartialVectorReducer
ReducerMetrics - Enum in org.apache.mahout.cf.taste.hadoop.pseudo
  Custom metrics collected by `RecommenderReducer`.
refresh(Collection<Refreshable>) - Method in interface org.apache.mahout.cf.taste.common.Refreshable
  Triggers "refresh" -- whatever that means -- of the implementation.
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.common.RefreshHelper
  Typically this is called in and is the entire body of that method.
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractIDMigrator
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileIDMigrator
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.neighborhood.CachingUserNeighborhood
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.FarthestNeighborClusterSimilarity
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemAverageRecommender
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemUserAverageRecommender
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.NearestNeighborClusterSimilarity
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.RandomRecommender
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.file.FileDiffStorage
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.AbstractJDBCDiffStorage
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.MemoryDiffStorage
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.SlopeOneRecommender
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.SVDRecommender
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender2
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.AveragingPreferenceInferrer
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingItemSimilarity
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingUserSimilarity
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.jdbc.AbstractJDBCItemSimilarity
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.SpearmanCorrelationSimilarity
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.transforms.CaseAmplification
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.transforms.InverseUserFrequency
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.impl.transforms.ZScore
Refreshable - Interface in org.apache.mahout.cf.taste.common
  Implementations of this interface have state that can be periodically refreshed.
RefreshHelper - Class in org.apache.mahout.cf.taste.impl.common
  A helper class for implementing `Refreshable`.
RefreshHelper(Callable<?>) - Constructor for class org.apache.mahout.cf.taste.impl.common.RefreshHelper
registerHiddenStateNames(String[]) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Register an array of hidden state Names.
registerHiddenStateNames(Map<String, Integer>) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Register a map of hidden state Names/state IDs
registerOutputStateNames(String[]) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Register an array of hidden state Names.
registerOutputStateNames(Map<String, Integer>) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Register a map of hidden state Names/state IDs
regularize(Vector) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
rehash() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
rehash() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
rehash() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
reload() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
reload() - Method in class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity
remove(K) - Method in class org.apache.mahout.cf.taste.impl.common.Cache
  Uncaches any existing value for a given key.
remove(long) - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
remove(long) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
remove(Object) - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
remove() - Method in class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
remove() - Method in class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator
remove() - Method in class org.apache.mahout.common.FileLineIterator
remove() - Method in class org.apache.mahout.common.iterator.ArrayIterator
remove() - Method in class org.apache.mahout.common.iterator.DelegatingIterator
remove() - Method in class org.apache.mahout.common.iterator.EmptyIterator
remove() - Method in class org.apache.mahout.common.iterator.PermutingIterator
remove() - Method in class org.apache.mahout.common.iterator.SamplingIterator
remove() - Method in class org.apache.mahout.common.StringRecordIterator
remove() - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.integer.IntegerTupleIterator
remove() - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.string.StringTupleIterator
remove() - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.TransactionIterator
remove() - Method in class org.apache.mahout.fpm.pfpgrowth.MultiTransactionTreeIterator
remove() - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree.TransactionTreeIterator
remove() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.DistributedMatrixIterator
REMOVE_PREFERENCE_SQL_KEY - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
removeAll(long[]) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
removeAll(FastIDSet) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
removeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.CompactRunningAverage
removeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.CompactRunningAverageAndStdDev
removeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverage
removeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
removeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
removeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage
removeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
removeDatum(double) - Method in interface org.apache.mahout.cf.taste.impl.common.RunningAverage
removeDatum(double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
removeDatum(double, double) - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
removeDependency(Refreshable) - Method in class org.apache.mahout.cf.taste.impl.common.RefreshHelper
removeHeaderNext(int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
  See the warning at `FileDataModel.setPreference(long, long, float)`.
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender
  Default implementation which just calls `DataModel.removePreference(long, long)` (Object, Object)}.
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemAverageRecommender
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemUserAverageRecommender
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.SlopeOneRecommender
removePreference(long, long) - Method in interface org.apache.mahout.cf.taste.model.DataModel
  Removes a particular preference for a user.
removePreference(long, long) - Method in interface org.apache.mahout.cf.taste.recommender.Recommender
reorderHeaderTable() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
replaceAt(int, Integer) - Method in class org.apache.mahout.common.IntegerTuple
  Replaces the string at the given index with the given newString
replaceAt(int, int) - Method in class org.apache.mahout.common.IntTuple
  Replaces the string at the given index with the given newInteger
replaceAt(int, String) - Method in class org.apache.mahout.common.StringTuple
  Replaces the string at the given index with the given newString
replaceChild(int, int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
rescore(T, double) - Method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
rescore(long, double) - Method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
rescore(long, double) - Method in interface org.apache.mahout.cf.taste.recommender.IDRescorer
rescore(T, double) - Method in interface org.apache.mahout.cf.taste.recommender.Rescorer
Rescorer<T> - Interface in org.apache.mahout.cf.taste.recommender
  A simply assigns a new "score" to a thing like an ID of an item or user which a `Recommender` is considering returning as a top recommendation.
resetLineCounter() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
ResultAnalyzer - Class in org.apache.mahout.classifier
  ResultAnalyzer captures the classification statistics and displays in a tabular manner
ResultAnalyzer(Collection<String>, String) - Constructor for class org.apache.mahout.classifier.ResultAnalyzer
retainAll(FastIDSet) - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
Retriever<K,V> - Interface in org.apache.mahout.cf.taste.impl.common
  Implementations can retrieve a value for a given key.
retrieveTimesSquaredOutputVector(JobConf) - Static method in class org.apache.mahout.math.hadoop.TimesSquaredJob
rGamma(double, double) - Static method in class org.apache.mahout.clustering.dirichlet.UncommonDistributions
  Returns a double sampled according to this distribution.
RMSRecommenderEvaluator - Class in org.apache.mahout.cf.taste.impl.eval
  A `RecommenderEvaluator` which computes the "root mean squared" difference between predicted and actual ratings for users.
RMSRecommenderEvaluator() - Constructor for class org.apache.mahout.cf.taste.impl.eval.RMSRecommenderEvaluator
rMultinom(Vector) - Static method in class org.apache.mahout.clustering.dirichlet.UncommonDistributions
  Returns one sample from a multinomial.
rMultinom(int, Vector) - Static method in class org.apache.mahout.clustering.dirichlet.UncommonDistributions
  Returns a multinomial vector sampled from the given probabilities rmultinom should be implemented as successive binomial sampling.
rNorm(double, double) - Static method in class org.apache.mahout.clustering.dirichlet.UncommonDistributions
  Return a random value from a normal distribution with the given mean and standard deviation
ROOTNODEID - Static variable in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
RowSimilarityJob - Class in org.apache.mahout.math.hadoop.similarity
  Runs a completely distributed computation of the pairwise similarity of the row vectors of a `DistributedRowMatrix` as a series of mapreduces.
RowSimilarityJob() - Constructor for class org.apache.mahout.math.hadoop.similarity.RowSimilarityJob
RowSimilarityJob.CooccurrencesMapper - Class in org.apache.mahout.math.hadoop.similarity
  maps all pairs of weighted entries of a column vector
RowSimilarityJob.CooccurrencesMapper() - Constructor for class org.apache.mahout.math.hadoop.similarity.RowSimilarityJob.CooccurrencesMapper
RowSimilarityJob.EntriesToVectorsReducer - Class in org.apache.mahout.math.hadoop.similarity
  collects all `DistributedRowMatrix.MatrixEntryWritable` for each column and creates a `VectorWritable`
RowSimilarityJob.EntriesToVectorsReducer() - Constructor for class org.apache.mahout.math.hadoop.similarity.RowSimilarityJob.EntriesToVectorsReducer
RowSimilarityJob.RowWeightMapper - Class in org.apache.mahout.math.hadoop.similarity
  applies `DistributedVectorSimilarity.weight(Vector)` to each row of the input matrix
RowSimilarityJob.RowWeightMapper() - Constructor for class org.apache.mahout.math.hadoop.similarity.RowSimilarityJob.RowWeightMapper
RowSimilarityJob.SimilarityReducer - Class in org.apache.mahout.math.hadoop.similarity
  computes the pairwise similarities
RowSimilarityJob.SimilarityReducer() - Constructor for class org.apache.mahout.math.hadoop.similarity.RowSimilarityJob.SimilarityReducer
RowSimilarityJob.WeightedOccurrencesPerColumnReducer - Class in org.apache.mahout.math.hadoop.similarity
  collects all `WeightedOccurrence`s for a column and writes them to a `WeightedOccurrenceArray`
RowSimilarityJob.WeightedOccurrencesPerColumnReducer() - Constructor for class org.apache.mahout.math.hadoop.similarity.RowSimilarityJob.WeightedOccurrencesPerColumnReducer
rsplit(Random, int) - Method in class org.apache.mahout.df.data.Data
  Splits the data in two, returns one part, and this gets the rest of the data.
rsubset(Random, double) - Method in class org.apache.mahout.df.data.Data
run(String[]) - Method in class org.apache.mahout.cf.taste.hadoop.item.RecommenderJob
run(String[]) - Method in class org.apache.mahout.cf.taste.hadoop.pseudo.RecommenderJob
run(String[]) - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob
run(String[]) - Method in class org.apache.mahout.cf.taste.hadoop.slopeone.SlopeOneAverageDiffsJob
run(String[]) - Method in class org.apache.mahout.clustering.canopy.CanopyDriver
run(Configuration, Path, Path, DistanceMeasure, double, double, boolean, boolean) - Static method in class org.apache.mahout.clustering.canopy.CanopyDriver
  Build a directory of Canopy clusters from the input arguments and, if requested, cluster the input vectors using these clusters
run(Path, Path, DistanceMeasure, double, double, boolean, boolean) - Static method in class org.apache.mahout.clustering.canopy.CanopyDriver
  Convenience method creates new Configuration() Build a directory of Canopy clusters from the input arguments and, if requested, cluster the input vectors using these clusters
run(String[]) - Method in class org.apache.mahout.clustering.dirichlet.DirichletDriver
run(Configuration, Path, Path, ModelDistribution<VectorWritable>, int, int, double, boolean, boolean, double, boolean) - Static method in class org.apache.mahout.clustering.dirichlet.DirichletDriver
  Iterate over the input vectors to produce clusters and, if requested, use the results of the final iteration to cluster the input vectors.
run(Path, Path, ModelDistribution<VectorWritable>, int, int, double, boolean, boolean, double, boolean) - Static method in class org.apache.mahout.clustering.dirichlet.DirichletDriver
  Convenience method provides default Configuration Iterate over the input vectors to produce clusters and, if requested, use the results of the final iteration to cluster the input vectors.
run(String[]) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver
run(Path, Path, Path, DistanceMeasure, double, int, float, boolean, boolean, double, boolean) - Static method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver
  Iterate over the input vectors to produce clusters and, if requested, use the results of the final iteration to cluster the input vectors.
run(Configuration, Path, Path, Path, DistanceMeasure, double, int, float, boolean, boolean, double, boolean) - Static method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver
  Iterate over the input vectors to produce clusters and, if requested, use the results of the final iteration to cluster the input vectors.
run(String[]) - Method in class org.apache.mahout.clustering.kmeans.KMeansDriver
run(Configuration, Path, Path, Path, DistanceMeasure, double, int, boolean, boolean) - Static method in class org.apache.mahout.clustering.kmeans.KMeansDriver
  Iterate over the input vectors to produce clusters and, if requested, use the results of the final iteration to cluster the input vectors.
run(Path, Path, Path, DistanceMeasure, double, int, boolean, boolean) - Static method in class org.apache.mahout.clustering.kmeans.KMeansDriver
  Iterate over the input vectors to produce clusters and, if requested, use the results of the final iteration to cluster the input vectors.
run(String[]) - Method in class org.apache.mahout.clustering.lda.LDADriver
run(String[]) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyDriver
run(Configuration, Path, Path, DistanceMeasure, double, double, double, int, boolean, boolean, boolean) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyDriver
  Run the job where the input format can be either Vectors or Canopies.
run(String[]) - Method in class org.apache.mahout.clustering.minhash.MinHashDriver
run(String[]) - Method in class org.apache.mahout.clustering.spectral.eigencuts.EigencutsDriver
run(Configuration, Path, Path, int, double, double, double) - Static method in class org.apache.mahout.clustering.spectral.eigencuts.EigencutsDriver
  Run the Eigencuts clustering algorithm using the supplied arguments
run(String[]) - Method in class org.apache.mahout.clustering.spectral.kmeans.SpectralKMeansDriver
run(Configuration, Path, Path, int, int, DistanceMeasure, double, int) - Static method in class org.apache.mahout.clustering.spectral.kmeans.SpectralKMeansDriver
  Run the Spectral KMeans clustering on the supplied arguments
run() - Method in class org.apache.mahout.df.mapreduce.Classifier
run(Configuration) - Method in class org.apache.mahout.df.mapreduce.partial.Step0Job
  Computes the partitions' info in Hadoop's order
run(Configuration, TreeID[], Node[], PredictionCallback) - Method in class org.apache.mahout.df.mapreduce.partial.Step2Job
  Run the second step.
run(String[]) - Method in class org.apache.mahout.df.tools.Frequencies
run(Configuration) - Method in class org.apache.mahout.df.tools.FrequenciesJob
run(String[]) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver.DistributedLanczosSolverJob
run(String[]) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
run(Path, Path, Path, int, int, boolean, int, double, double, boolean) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
  Run the solver to produce raw eigenvectors, then run the EigenVerificationJob to clean them
run(Path, Path, Path, int, int, boolean, int) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
  Run the solver to produce the raw eigenvectors
run(String[]) - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob
run(Path, Path, Path, Path, double, double, boolean, JobConf) - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob
  Run the job with the given arguments
run(String[]) - Method in class org.apache.mahout.math.hadoop.MatrixMultiplicationJob
run(String[]) - Method in class org.apache.mahout.math.hadoop.similarity.RowSimilarityJob
run(String[]) - Method in class org.apache.mahout.math.hadoop.TransposeJob
run(String[]) - Method in class org.apache.mahout.vectorizer.collocations.llr.CollocDriver
runFuzzyKMeansIteration(Iterable<Vector>, List<SoftCluster>, FuzzyKMeansClusterer) - Static method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
  Perform a single iteration over the points and clusters, assigning points to clusters and returning if the iterations are completed.
runJob(Parameters) - Static method in class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesClassifierDriver
  Run the job
runJob(Path, Path, BayesParameters) - Method in class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesDriver
runJob(Path, Path, BayesParameters) - Method in class org.apache.mahout.classifier.bayes.mapreduce.bayes.BayesThetaNormalizerDriver
runJob(Path, Path, BayesParameters) - Method in class org.apache.mahout.classifier.bayes.mapreduce.cbayes.CBayesDriver
runJob(Path, Path, BayesParameters) - Method in class org.apache.mahout.classifier.bayes.mapreduce.cbayes.CBayesThetaNormalizerDriver
runJob(Path, Path, BayesParameters) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesFeatureDriver
runJob(Path, Path, BayesParameters) - Method in interface org.apache.mahout.classifier.bayes.mapreduce.common.BayesJob
  Execute a classification job on a cluster.
runJob(Path, Path, BayesParameters) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesTfIdfDriver
runJob(Path, Path, BayesParameters) - Method in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesWeightSummerDriver
runJob(Path, Path, int, int) - Static method in class org.apache.mahout.clustering.spectral.common.AffinityMatrixInputJob
  Initializes and executes the job of reading the documents containing the data of the affinity matrix in (x_i, x_j, value) format.
runJob(Path, Path, int) - Static method in class org.apache.mahout.clustering.spectral.common.AffinityMatrixInputJob
  A transparent wrapper for the above method which handles the tedious tasks of setting and retrieving system Paths.
runJob(Path, int) - Static method in class org.apache.mahout.clustering.spectral.common.MatrixDiagonalizeJob
runJob(Path, Path) - Static method in class org.apache.mahout.clustering.spectral.common.UnitVectorizerJob
runJob(Path, Vector, Path) - Static method in class org.apache.mahout.clustering.spectral.common.VectorMatrixMultiplicationJob
  Invokes the job.
runjob(Path, Path, Path, Configuration) - Static method in class org.apache.mahout.clustering.spectral.eigencuts.EigencutsAffinityCutsJob
  Runs a single iteration of defining cluster boundaries, based on previous calculations and the formation of the "cut matrix".
runJob(Vector, Vector, Path, double, double, double, double, Path) - Static method in class org.apache.mahout.clustering.spectral.eigencuts.EigencutsSensitivityJob
  Initializes the configuration tasks, loads the needed data into the HDFS cache, and executes the job.
runJob(Job) - Method in class org.apache.mahout.df.mapreduce.Builder
  Sequential implementation should override this method to simulate the job execution
runJob(Configuration, Path, Path, int, int, boolean, int, Matrix, List<Double>, String) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
  Factored-out LanczosSolver for the purpose of invoking it programmatically
runJob(Configuration, Path, Path, Path, boolean, double, double, int) - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob
  Progammatic invocation of run()
runKMeansIteration(Iterable<Vector>, Iterable<Cluster>, DistanceMeasure, double) - Static method in class org.apache.mahout.clustering.kmeans.KMeansClusterer
  Perform a single iteration over the points and clusters, assigning points to clusters and returning if the iterations are completed.
runLoad(Recommender) - Static method in class org.apache.mahout.cf.taste.impl.eval.LoadEvaluator
RunningAverage - Interface in org.apache.mahout.cf.taste.impl.common
  Interface for classes that can keep track of a running average of a series of numbers.
RunningAverageAndStdDev - Interface in org.apache.mahout.cf.taste.impl.common
  Extends `RunningAverage` by adding standard deviation too.
RunningSumsGaussianAccumulator - Class in org.apache.mahout.clustering
  An online Gaussian accumulator that uses a running power sums approach as reported on http://en.wikipedia.org/wiki/Standard_deviation Suffers from overflow, underflow and roundoff error but has minimal observe-time overhead
RunningSumsGaussianAccumulator() - Constructor for class org.apache.mahout.clustering.RunningSumsGaussianAccumulator
runPFPGrowth(Parameters) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth

## S

SampledNormalDistribution - Class in org.apache.mahout.clustering.dirichlet.models
  An implementation of the ModelDistribution interface suitable for testing the DirichletCluster algorithm.
SampledNormalDistribution() - Constructor for class org.apache.mahout.clustering.dirichlet.models.SampledNormalDistribution
SampledNormalDistribution(VectorWritable) - Constructor for class org.apache.mahout.clustering.dirichlet.models.SampledNormalDistribution
SampledNormalModel - Class in org.apache.mahout.clustering.dirichlet.models
SampledNormalModel() - Constructor for class org.apache.mahout.clustering.dirichlet.models.SampledNormalModel
SampledNormalModel(int, Vector, double) - Constructor for class org.apache.mahout.clustering.dirichlet.models.SampledNormalModel
sampleFromPosterior() - Method in class org.apache.mahout.clustering.dirichlet.DirichletCluster
sampleFromPosterior(Model<VectorWritable>[]) - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalDistribution
sampleFromPosterior() - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
  Return an instance with the same parameters
sampleFromPosterior(Model<VectorWritable>[]) - Method in class org.apache.mahout.clustering.dirichlet.models.DistanceMeasureClusterDistribution
sampleFromPosterior() - Method in class org.apache.mahout.clustering.dirichlet.models.GaussianCluster
sampleFromPosterior(Model<VectorWritable>[]) - Method in class org.apache.mahout.clustering.dirichlet.models.GaussianClusterDistribution
sampleFromPosterior() - Method in class org.apache.mahout.clustering.dirichlet.models.L1Model
sampleFromPosterior(Model<VectorWritable>[]) - Method in class org.apache.mahout.clustering.dirichlet.models.L1ModelDistribution
sampleFromPosterior() - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModel
  TODO: Return a proper sample from the posterior.
sampleFromPosterior(Model<VectorWritable>[]) - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModelDistribution
sampleFromPosterior(Model<VectorWritable>[]) - Method in class org.apache.mahout.clustering.dirichlet.models.SampledNormalDistribution
sampleFromPosterior() - Method in class org.apache.mahout.clustering.dirichlet.models.SampledNormalModel
  Return an instance with the same parameters
sampleFromPosterior() - Method in class org.apache.mahout.clustering.DistanceMeasureCluster
sampleFromPosterior() - Method in interface org.apache.mahout.clustering.Model
sampleFromPosterior(Model<O>[]) - Method in interface org.apache.mahout.clustering.ModelDistribution
  Return a list of models sampled from the posterior
sampleFromPrior(int) - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalDistribution
sampleFromPrior(int) - Method in class org.apache.mahout.clustering.dirichlet.models.DistanceMeasureClusterDistribution
sampleFromPrior(int) - Method in class org.apache.mahout.clustering.dirichlet.models.GaussianClusterDistribution
sampleFromPrior(int) - Method in class org.apache.mahout.clustering.dirichlet.models.L1ModelDistribution
sampleFromPrior(int) - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModelDistribution
sampleFromPrior(int) - Method in class org.apache.mahout.clustering.dirichlet.models.SampledNormalDistribution
sampleFromPrior(int) - Method in interface org.apache.mahout.clustering.ModelDistribution
  Return a list of models sampled from the prior
samplePosteriorModels() - Method in class org.apache.mahout.clustering.dirichlet.DirichletClusterer
SamplingCandidateItemsStrategy - Class in org.apache.mahout.cf.taste.impl.recommender
  returns all items that have not been rated by the user and that were preferred by another user that has preferred at least one item that the current user has preferred too
SamplingCandidateItemsStrategy() - Constructor for class org.apache.mahout.cf.taste.impl.recommender.SamplingCandidateItemsStrategy
  uses defaultMaxPrefsPerItemConsidered = 100 and userItemCountMultiplier = 20 as default values
SamplingCandidateItemsStrategy(int, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.SamplingCandidateItemsStrategy
  the maximum number of prefs considered per item will be computed like this:
SamplingIterable<T> - Class in org.apache.mahout.common.iterator
  Wraps an `Iterable` whose `Iterable.iterator()` returns only some subset of the elements that it would, as determined by a iterator rate parameter.
SamplingIterable(Iterable<? extends T>, double) - Constructor for class org.apache.mahout.common.iterator.SamplingIterable
SamplingIterator<T> - Class in org.apache.mahout.common.iterator
  Wraps an `Iterator` and returns only some subset of the elements that it would, as determined by a iterator rate parameter.
SamplingIterator(Iterator<? extends T>, double) - Constructor for class org.apache.mahout.common.iterator.SamplingIterator
SamplingLongPrimitiveIterator - Class in org.apache.mahout.cf.taste.impl.common
  Wraps a `LongPrimitiveIterator` and returns only some subset of the elements that it would, as determined by a sampling rate parameter.
SamplingLongPrimitiveIterator(LongPrimitiveIterator, double) - Constructor for class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator
save(Writable, Vector, Path, Configuration, boolean, boolean) - Static method in class org.apache.mahout.clustering.spectral.common.VectorCache
save(Writable, Vector, Path, Configuration) - Static method in class org.apache.mahout.clustering.spectral.common.VectorCache
  Calls the save() method, setting the cache to overwrite any previous Path and to delete the path after exiting
scale(VectorWritable) - Method in class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesSquaredMapper
SequenceFileModelReader - Class in org.apache.mahout.classifier.bayes.io
  This Class reads the different interim files created during the Training stage as well as the Model File during testing.
SequenceFileOutputCollector<K extends org.apache.hadoop.io.Writable,V extends org.apache.hadoop.io.Writable> - Class in org.apache.mahout.fpm.pfpgrowth.convertors
  Collects the `Writable` key and `Writable` value, and writes them into a `SequenceFile`
SequenceFileOutputCollector(SequenceFile.Writer) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.SequenceFileOutputCollector
SequenceFileTokenizerMapper - Class in org.apache.mahout.vectorizer.document
  Tokenizes a text document and outputs tokens in a StringTuple
SequenceFileTokenizerMapper() - Constructor for class org.apache.mahout.vectorizer.document.SequenceFileTokenizerMapper
SEQUENTIAL_ACCESS - Static variable in class org.apache.mahout.vectorizer.common.PartialVectorMerger
SEQUENTIAL_METHOD - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
SequentialBuilder - Class in org.apache.mahout.df.ref
  Builds a Random Decision Forest using a given TreeBuilder to grow the trees
SequentialBuilder(Random, TreeBuilder, Data) - Constructor for class org.apache.mahout.df.ref.SequentialBuilder
  Constructor
serialize(NaiveBayesModel, Type, JsonSerializationContext) - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
serialize(HmmModel, Type, JsonSerializationContext) - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
serialize(DirichletCluster, Type, JsonSerializationContext) - Method in class org.apache.mahout.clustering.dirichlet.JsonClusterAdapter
serialize(Cluster, Type, JsonSerializationContext) - Method in class org.apache.mahout.clustering.dirichlet.JsonClusterModelAdapter
serialize(DistanceMeasure, Type, JsonSerializationContext) - Method in class org.apache.mahout.clustering.JsonDistanceMeasureAdapter
serialize(Model<?>, Type, JsonSerializationContext) - Method in class org.apache.mahout.clustering.JsonModelAdapter
serialize(ModelDistribution<?>, Type, JsonSerializationContext) - Method in class org.apache.mahout.clustering.JsonModelDistributionAdapter
serializeOutput(Matrix, List<Double>, Path) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
set(long, int) - Method in class org.apache.mahout.cf.taste.hadoop.EntityCountWritable
set(long, long) - Method in class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable
set(long, float) - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
set(float, Vector) - Method in class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable
set(Vector) - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable
set(long, float) - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable
set(List<RecommendedItem>) - Method in class org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable
set(int, Preference) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
set(int, Preference) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
set(int, Preference) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
set(int, Preference) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
set(int, Preference) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
  Sets preference at i from information in the given `Preference`
set(K, V) - Method in interface org.apache.mahout.common.cache.Cache
  puts the key and its value into the cache
set(K, V) - Method in class org.apache.mahout.common.cache.HybridCache
set(K, V) - Method in class org.apache.mahout.common.cache.LeastKCache
set(K, V) - Method in class org.apache.mahout.common.cache.LFUCache
set(K, V) - Method in class org.apache.mahout.common.cache.LRUCache
set(int, int) - Method in class org.apache.mahout.common.IntPairWritable
set(T) - Method in class org.apache.mahout.common.parameters.AbstractParameter
set(T) - Method in interface org.apache.mahout.common.parameters.Parameter
set(String, String) - Method in class org.apache.mahout.common.Parameters
set(int, double) - Method in class org.apache.mahout.df.data.Instance
  Set the value at the given index
set(int, int) - Method in class org.apache.mahout.df.mapreduce.partial.TreeID
set(int, double, double) - Method in class org.apache.mahout.math.hadoop.similarity.Cooccurrence
set(int, double) - Method in class org.apache.mahout.math.hadoop.similarity.SimilarityMatrixEntryKey
set(int, int, double, double) - Method in class org.apache.mahout.math.hadoop.similarity.WeightedRowPair
set(Matrix) - Method in class org.apache.mahout.math.MatrixWritable
set(int) - Method in class org.apache.mahout.math.VarIntWritable
set(long) - Method in class org.apache.mahout.math.VarLongWritable
set(Vector) - Method in class org.apache.mahout.math.VectorWritable
set(Gram, byte[]) - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey
  set the gram held by this key
SET_PREFERENCE_SQL_KEY - Static variable in class org.apache.mahout.cf.taste.impl.model.jdbc.GenericJDBCDataModel
setAlphaI(float) - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
setAnalyzer(Analyzer) - Method in class org.apache.mahout.vectorizer.encoders.LuceneTextValueEncoder
setAucEvaluator(OnlineAuc) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
setAucEvaluator(OnlineAuc) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
setAucEvaluator(OnlineAuc) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
setAveragingWindow(int) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
setBest(State<AdaptiveLogisticRegression.Wrapper>) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
setBeta(int, int, double) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
setBoundPoints(IntArrayList) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopy
setBuffer(List<AdaptiveLogisticRegression.TrainingExample>) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
setCenter(Vector) - Method in class org.apache.mahout.clustering.AbstractCluster
setClusters(List<DirichletCluster>) - Method in class org.apache.mahout.clustering.dirichlet.DirichletState
setCol(int) - Method in class org.apache.mahout.clustering.spectral.common.VertexWritable
setCol(int) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
setConditional(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
setConf(Configuration) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver.DistributedLanczosSolverJob
setConf(Configuration) - Method in class org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver
setConverged(boolean) - Method in class org.apache.mahout.clustering.kmeans.Cluster
setCovarianceMatrix(Matrix) - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
  Computes the inverse covariance from the input covariance matrix given in input.
setDictionary(Map<String, Double>) - Method in class org.apache.mahout.vectorizer.encoders.StaticWordValueEncoder
  Sets the weighting dictionary to be used by this encoder.
setEigensToVerify(VectorIterable) - Method in class org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob
setEp(EvolutionaryProcess<AdaptiveLogisticRegression.Wrapper>) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
setFeatureSum(Vector) - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
setFirst(int) - Method in class org.apache.mahout.common.IntPairWritable
setFirstLevelCacheSize(int) - Static method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTreeDepthCache
setFreezeSurvivors(boolean) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
setFrequency(int) - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram
setGradient(Gradient) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
setGramSize(int) - Method in class org.apache.mahout.classifier.bayes.common.BayesParameters
setId(int) - Method in class org.apache.mahout.clustering.AbstractCluster
setId(int) - Method in class org.apache.mahout.ep.State
setIgSplit(IgSplit) - Method in class org.apache.mahout.df.builder.DefaultTreeBuilder
setInterval(int) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
  How often should the evolutionary optimization of learning parameters occur?
setInterval(int, int) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
  Starts optimization using the shorter interval and progresses to the longer using the specified number of steps per decade.
setInverseCovarianceMatrix(Matrix) - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
setItemID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
  Sets item ID for preference at i.
setItemID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
setItemID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
  Sets item ID for preference at i.
setItemID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
setItemID(int, long) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
  Sets item ID for preference at i.
setKey(int) - Method in class org.apache.mahout.clustering.spectral.common.IntDoublePairWritable
setLabel(String) - Method in class org.apache.mahout.classifier.ClassifierResult
setLabels(int[]) - Method in class org.apache.mahout.math.MultiLabelVectorWritable
setLoginTimeout(int) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.ConnectionPoolDataSource
setLogLikelihood(double) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
setLogWriter(PrintWriter) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.ConnectionPoolDataSource
setLongParameter(PreparedStatement, int, long) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
  Subclasses may wish to override this if ID values in the file are not numeric.
setM(int) - Method in class org.apache.mahout.df.builder.DefaultTreeBuilder
setMap(int, Mapping) - Method in class org.apache.mahout.ep.State
  Defines the transformation for a parameter.
setMap(int, Mapping) - Method in class org.apache.mahout.ep.ThreadedEvolutionaryProcess
setMappings(State<AdaptiveLogisticRegression.Wrapper>) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
setMaps(Mapping[]) - Method in class org.apache.mahout.ep.State
setMaps(Iterable<Mapping>) - Method in class org.apache.mahout.ep.State
setMaxBufferSize(int) - Method in class org.apache.mahout.classifier.evaluation.Auc
setMaxPreference(float) - Method in interface org.apache.mahout.cf.taste.eval.RecommenderEvaluator
  Deprecated.
setMaxPreference(float) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractDataModel
setMeanVector(Vector) - Method in class org.apache.mahout.common.distance.MahalanobisDistanceMeasure
setMeasure(DistanceMeasure) - Method in class org.apache.mahout.clustering.dirichlet.models.DistanceMeasureClusterDistribution
setMeasure(DistanceMeasure) - Method in class org.apache.mahout.clustering.DistanceMeasureCluster
setMinDF(int) - Method in class org.apache.mahout.classifier.bayes.common.BayesParameters
setMinPreference(float) - Method in interface org.apache.mahout.cf.taste.eval.RecommenderEvaluator
  Deprecated.
setMinPreference(float) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractDataModel
setMinSupport(int) - Method in class org.apache.mahout.classifier.bayes.common.BayesParameters
setMissingValueWeight(double) - Method in class org.apache.mahout.vectorizer.encoders.StaticWordValueEncoder
  Sets the weight that is to be used for values that do not appear in the dictionary.
setMixture(Vector) - Method in class org.apache.mahout.clustering.dirichlet.DirichletState
setModel(Cluster) - Method in class org.apache.mahout.clustering.dirichlet.DirichletCluster
setModelFactory(ModelDistribution<VectorWritable>) - Method in class org.apache.mahout.clustering.dirichlet.DirichletState
setModelPrototype(VectorWritable) - Method in class org.apache.mahout.clustering.dirichlet.models.AbstractVectorModelDistribution
setNbTrees(Configuration, int) - Static method in class org.apache.mahout.df.mapreduce.Builder
  Set the number of trees to grow for the map-reduce job
setNext(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
setNumClusters(int) - Method in class org.apache.mahout.clustering.dirichlet.DirichletState
setNumFeatures(int) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
setNumPoints(int) - Method in class org.apache.mahout.clustering.AbstractCluster
setOffsets(Configuration, int, int) - Static method in class org.apache.mahout.vectorizer.collocations.llr.GramKeyPartitioner
setOmni(double) - Method in class org.apache.mahout.ep.State
setOutputDirName(String) - Method in class org.apache.mahout.df.mapreduce.Builder
  Sets the Output directory name, will be creating in the working directory
setOutputTempPathString(String) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
setParameters(double[]) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
setParent(int, int) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
setPayload(T) - Method in class org.apache.mahout.ep.State
setPerlabelThetaNormalizer(Vector) - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
setPolicy(GlobalOnlineAuc.ReplacementPolicy) - Method in class org.apache.mahout.math.stats.GlobalOnlineAuc
setPolicy(GlobalOnlineAuc.ReplacementPolicy) - Method in class org.apache.mahout.math.stats.GroupedOnlineAuc
setPolicy(GlobalOnlineAuc.ReplacementPolicy) - Method in interface org.apache.mahout.math.stats.OnlineAuc
setPoolSize(int) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
  Note that this method only updates the in-memory preference data that this maintains; it does not modify any data on disk.
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractBooleanPrefJDBCDataModel
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.AbstractJDBCDataModel
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender
  Default implementation which just calls `DataModel.setPreference(long, long, float)`.
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemAverageRecommender
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemUserAverageRecommender
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.SlopeOneRecommender
setPreference(long, long, float) - Method in interface org.apache.mahout.cf.taste.model.DataModel
  Sets a particular preference (item plus rating) for a user.
setPreference(long, long, float) - Method in interface org.apache.mahout.cf.taste.recommender.Recommender
setPreferenceInferrer(PreferenceInferrer) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingUserSimilarity
setPreferenceInferrer(PreferenceInferrer) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity
setPreferenceInferrer(PreferenceInferrer) - Method in class org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity
setPreferenceInferrer(PreferenceInferrer) - Method in class org.apache.mahout.cf.taste.impl.similarity.SpearmanCorrelationSimilarity
setPreferenceInferrer(PreferenceInferrer) - Method in class org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity
setPreferenceInferrer(PreferenceInferrer) - Method in interface org.apache.mahout.cf.taste.similarity.UserSimilarity
  Attaches a `PreferenceInferrer` to the implementation.
setPrior(PriorFunction) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
setPrior(PriorFunction) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
setProbabilityScore(boolean) - Method in class org.apache.mahout.classifier.evaluation.Auc
setProbes(int) - Method in class org.apache.mahout.vectorizer.encoders.CachingContinuousValueEncoder
setProbes(int) - Method in class org.apache.mahout.vectorizer.encoders.CachingStaticWordValueEncoder
setProbes(int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
  Sets the number of locations in the feature vector that a value should be in.
setRadius(Vector) - Method in class org.apache.mahout.clustering.AbstractCluster
setRecord(int) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
setRecord(int) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
setRow(int) - Method in class org.apache.mahout.clustering.spectral.common.VertexWritable
setRow(int) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
setScore(double) - Method in class org.apache.mahout.classifier.ClassifierResult
setSecond(int) - Method in class org.apache.mahout.common.IntPairWritable
setSeed(State<AdaptiveLogisticRegression.Wrapper>) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
setSigmaJSigmaK(double) - Method in class org.apache.mahout.classifier.bayes.datastore.InMemoryBayesDatastore
setSinglePath(boolean) - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
setSkipCleanup(boolean) - Method in class org.apache.mahout.classifier.bayes.common.BayesParameters
setStep(double[]) - Method in class org.apache.mahout.ep.State
setStep2(Configuration, boolean) - Static method in class org.apache.mahout.df.mapreduce.partial.PartialBuilder
  Should run the second step of the builder ?
setStringValue(String) - Method in class org.apache.mahout.common.parameters.ClassParameter
setStringValue(String) - Method in class org.apache.mahout.common.parameters.CompositeParameter
setStringValue(String) - Method in class org.apache.mahout.common.parameters.DoubleParameter
setStringValue(String) - Method in class org.apache.mahout.common.parameters.FileParameter
setStringValue(String) - Method in class org.apache.mahout.common.parameters.IntegerParameter
setStringValue(String) - Method in interface org.apache.mahout.common.parameters.Parameter
setStringValue(String) - Method in class org.apache.mahout.common.parameters.PathParameter
setStringValue(String) - Method in class org.apache.mahout.common.parameters.StringParameter
setSumFeatureWeight(String, double) - Method in class org.apache.mahout.classifier.bayes.datastore.InMemoryBayesDatastore
setSumLabelWeight(String, double) - Method in class org.apache.mahout.classifier.bayes.datastore.InMemoryBayesDatastore
setTempPrefs(PreferenceArray) - Method in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
setThetaNormalizer(String, double) - Method in class org.apache.mahout.classifier.bayes.datastore.InMemoryBayesDatastore
setThreadCount(int) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
setThreadCount(int) - Method in class org.apache.mahout.ep.EvolutionaryProcess
setTotalSum(double) - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
setTraceDictionary(Map<String, Set<Integer>>) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
setType(String) - Method in class org.apache.mahout.clustering.spectral.common.VertexWritable
setup(Reducer<VarLongWritable, PrefAndSimilarityColumnWritable, VarLongWritable, RecommendedItemsWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.AggregateAndRecommendReducer
setup(Mapper<LongWritable, Text, VarIntWritable, VarLongWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.ItemIDIndexMapper
setup(Mapper<VarLongWritable, VectorWritable, VarIntWritable, VectorOrPrefWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.item.UserVectorSplitterMapper
setup(Mapper<VarLongWritable, VectorWritable, IntWritable, DistributedRowMatrix.MatrixEntryWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.MaybePruneRowsMapper
setup(Reducer<VarLongWritable, NullWritable, VarLongWritable, RecommendedItemsWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.pseudo.RecommenderReducer
setup(Mapper<IntWritable, VectorWritable, EntityEntityWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.MostSimilarItemPairsMapper
setup(Mapper<LongWritable, Text, VarLongWritable, VarLongWritable>.Context) - Method in class org.apache.mahout.cf.taste.hadoop.ToEntityPrefsMapper
setup(Mapper<Text, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.trainer.NaiveBayesInstanceMapper
setup(Mapper<IntWritable, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.trainer.NaiveBayesThetaComplementaryMapper
setup(Mapper<IntWritable, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.trainer.NaiveBayesThetaMapper
setup(Mapper<IntWritable, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.classifier.naivebayes.trainer.NaiveBayesWeightsMapper
setup(Reducer<Text, VectorWritable, Text, Canopy>.Context) - Method in class org.apache.mahout.clustering.canopy.CanopyReducer
setup(Mapper<WritableComparable<?>, VectorWritable, IntWritable, WeightedVectorWritable>.Context) - Method in class org.apache.mahout.clustering.canopy.ClusterMapper
setup(Mapper<WritableComparable<?>, VectorWritable, IntWritable, WeightedVectorWritable>.Context) - Method in class org.apache.mahout.clustering.dirichlet.DirichletClusterMapper
setup(Mapper<WritableComparable<?>, VectorWritable, Text, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.dirichlet.DirichletMapper
setup(DirichletState) - Method in class org.apache.mahout.clustering.dirichlet.DirichletMapper
setup(Reducer<Text, VectorWritable, Text, DirichletCluster>.Context) - Method in class org.apache.mahout.clustering.dirichlet.DirichletReducer
setup(DirichletState) - Method in class org.apache.mahout.clustering.dirichlet.DirichletReducer
setup(Mapper<WritableComparable<?>, VectorWritable, IntWritable, WeightedVectorWritable>.Context) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterMapper
setup(Reducer<Text, ClusterObservations, Text, ClusterObservations>.Context) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansCombiner
setup(Mapper<WritableComparable<?>, VectorWritable, Text, ClusterObservations>.Context) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansMapper
setup(Reducer<Text, ClusterObservations, Text, SoftCluster>.Context) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansReducer
setup(List<SoftCluster>, Configuration) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansReducer
setup(Mapper<WritableComparable<?>, VectorWritable, IntWritable, WeightedVectorWritable>.Context) - Method in class org.apache.mahout.clustering.kmeans.KMeansClusterMapper
setup(Mapper<WritableComparable<?>, VectorWritable, Text, ClusterObservations>.Context) - Method in class org.apache.mahout.clustering.kmeans.KMeansMapper
setup(Reducer<Text, ClusterObservations, Text, Cluster>.Context) - Method in class org.apache.mahout.clustering.kmeans.KMeansReducer
setup(List<Cluster>, DistanceMeasure) - Method in class org.apache.mahout.clustering.kmeans.KMeansReducer
setup(Mapper<WritableComparable<?>, VectorWritable, IntPairWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.clustering.lda.LDAMapper
setup(Mapper<WritableComparable<?>, MeanShiftCanopy, IntWritable, WeightedVectorWritable>.Context) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyClusterMapper
setup(Mapper<WritableComparable<?>, VectorWritable, Text, MeanShiftCanopy>.Context) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyCreatorMapper
setup(Mapper<WritableComparable<?>, MeanShiftCanopy, Text, MeanShiftCanopy>.Context) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyMapper
setup(Reducer<Text, MeanShiftCanopy, Text, MeanShiftCanopy>.Context) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyReducer
setup(Mapper<Text, Writable, Text, Writable>.Context) - Method in class org.apache.mahout.clustering.minhash.MinHashMapper
setup(Reducer<Text, Writable, Text, Writable>.Context) - Method in class org.apache.mahout.clustering.minhash.MinHashReducer
setup(Mapper<IntWritable, VectorWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.clustering.spectral.common.VectorMatrixMultiplicationJob.VectorMatrixMultiplicationMapper
setup(Mapper<IntWritable, VectorWritable, IntWritable, EigencutsSensitivityNode>.Context) - Method in class org.apache.mahout.clustering.spectral.eigencuts.EigencutsSensitivityMapper
setup(Mapper<LongWritable, Text, LongWritable, Text>.Context) - Method in class org.apache.mahout.df.mapreduce.Classifier.CMapper
setup(Mapper<IntWritable, NullWritable, IntWritable, MapredOutput>.Context) - Method in class org.apache.mahout.df.mapreduce.inmem.InMemMapper
setup(Mapper<KEYIN, VALUEIN, KEYOUT, VALUEOUT>.Context) - Method in class org.apache.mahout.df.mapreduce.MapredMapper
setup(Mapper<LongWritable, Text, TreeID, MapredOutput>.Context) - Method in class org.apache.mahout.df.mapreduce.partial.Step1Mapper
setup(Mapper<LongWritable, Text, TreeID, MapredOutput>.Context) - Method in class org.apache.mahout.df.mapreduce.partial.Step2Mapper
setup(Reducer<Text, TopKStringPatterns, Text, TopKStringPatterns>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.AggregatorReducer
setup(Mapper<LongWritable, Text, Text, LongWritable>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.ParallelCountingMapper
setup(Mapper<LongWritable, TransactionTree, LongWritable, TransactionTree>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.ParallelFPGrowthMapper
setup(Reducer<LongWritable, TransactionTree, Text, TopKStringPatterns>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.ParallelFPGrowthReducer
setup(Mapper<LongWritable, Text, LongWritable, TransactionTree>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionSortingMapper
setup(Mapper<LongWritable, Text, LongWritable, DoubleWritable>.Context) - Method in class org.apache.mahout.ga.watchmaker.EvalMapper
setup(Reducer<SimilarityMatrixEntryKey, DistributedRowMatrix.MatrixEntryWritable, IntWritable, VectorWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.RowSimilarityJob.EntriesToVectorsReducer
setup(Mapper<IntWritable, VectorWritable, VarIntWritable, WeightedOccurrence>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.RowSimilarityJob.RowWeightMapper
setup(Reducer<WeightedRowPair, Cooccurrence, SimilarityMatrixEntryKey, DistributedRowMatrix.MatrixEntryWritable>.Context) - Method in class org.apache.mahout.math.hadoop.similarity.RowSimilarityJob.SimilarityReducer
setup(Mapper<Text, StringTuple, GramKey, Gram>.Context) - Method in class org.apache.mahout.vectorizer.collocations.llr.CollocMapper
setup(Reducer<GramKey, Gram, Gram, Gram>.Context) - Method in class org.apache.mahout.vectorizer.collocations.llr.CollocReducer
setup(Reducer<Gram, Gram, Text, DoubleWritable>.Context) - Method in class org.apache.mahout.vectorizer.collocations.llr.LLRReducer
setup(Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.common.PartialVectorMergeReducer
setup(Mapper<Text, Text, Text, StringTuple>.Context) - Method in class org.apache.mahout.vectorizer.document.SequenceFileTokenizerMapper
setup(Reducer<Text, LongWritable, Text, LongWritable>.Context) - Method in class org.apache.mahout.vectorizer.term.TermCountReducer
setup(Reducer<Text, StringTuple, Text, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.term.TFPartialVectorReducer
setup(Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable>.Context) - Method in class org.apache.mahout.vectorizer.tfidf.TFIDFPartialVectorReducer
setUserID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
setUserID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
  Sets user ID for preference at i.
setUserID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
setUserID(int, long) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
  Sets user ID for preference at i.
setUserID(int, long) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
  Sets user ID for preference at i.
setVal(double) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
setValue(int, float) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
setValue(float) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanPreference
setValue(int, float) - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
setValue(int, float) - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
setValue(float) - Method in class org.apache.mahout.cf.taste.impl.model.GenericPreference
setValue(int, float) - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
setValue(float) - Method in interface org.apache.mahout.cf.taste.model.Preference
  Sets the strength of the preference for this item
setValue(int, float) - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
  Sets preference value for preference at i.
setValue(double) - Method in class org.apache.mahout.clustering.spectral.common.IntDoublePairWritable
setValue(double) - Method in class org.apache.mahout.clustering.spectral.common.VertexWritable
setValue(double) - Method in class org.apache.mahout.ep.State
setVector(Vector) - Method in class org.apache.mahout.clustering.WeightedVectorWritable
setVector(Vector) - Method in class org.apache.mahout.math.MultiLabelVectorWritable
setVocabCount(double) - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
setWeightMatrix(Matrix) - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
setWeights(Vector) - Method in class org.apache.mahout.common.distance.WeightedDistanceMeasure
setWindowSize(int) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
setWindowSize(int) - Method in class org.apache.mahout.math.stats.GlobalOnlineAuc
setWindowSize(int) - Method in class org.apache.mahout.math.stats.GroupedOnlineAuc
setWindowSize(int) - Method in interface org.apache.mahout.math.stats.OnlineAuc
setWordEncoder(FeatureVectorEncoder) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder
setWritesLaxPrecision(boolean) - Method in class org.apache.mahout.math.VectorWritable
shallowCopy() - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopy
shiftBias(double) - Method in class org.apache.mahout.classifier.discriminative.LinearModel
  Shift the bias of the model.
shiftToMean(MeanShiftCanopy) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyClusterer
  Shift the center to the new centroid of the cluster
shouldRunNextPhase(Map<String, String>, AtomicInteger) - Static method in class org.apache.mahout.common.AbstractJob
similarity(int, int, Iterable<Cooccurrence>, double, double, int) - Method in class org.apache.mahout.math.hadoop.similarity.vector.AbstractDistributedVectorSimilarity
  ensures that the computed similarity is in [-1,1]
similarity(int, int, Iterable<Cooccurrence>, double, double, int) - Method in class org.apache.mahout.math.hadoop.similarity.vector.DistributedCooccurrenceVectorSimilarity
similarity(int, int, Iterable<Cooccurrence>, double, double, int) - Method in interface org.apache.mahout.math.hadoop.similarity.vector.DistributedVectorSimilarity
  compute the similarity of a pair of row vectors
SimilarityMatrixEntryKey - Class in org.apache.mahout.math.hadoop.similarity
  used as key for the `RowSimilarityJob.EntriesToVectorsReducer` to collect all rows similar to the specified row ensures that the similarity matrix entries for a row are seen in descending order by their similarity value via secondary sort
SimilarityMatrixEntryKey() - Constructor for class org.apache.mahout.math.hadoop.similarity.SimilarityMatrixEntryKey
SimilarityMatrixEntryKey(int, double) - Constructor for class org.apache.mahout.math.hadoop.similarity.SimilarityMatrixEntryKey
SimilarityMatrixEntryKey.SimilarityMatrixEntryKeyComparator - Class in org.apache.mahout.math.hadoop.similarity
SimilarityMatrixEntryKey.SimilarityMatrixEntryKeyComparator() - Constructor for class org.apache.mahout.math.hadoop.similarity.SimilarityMatrixEntryKey.SimilarityMatrixEntryKeyComparator
SimilarityMatrixEntryKey.SimilarityMatrixEntryKeyGroupingComparator - Class in org.apache.mahout.math.hadoop.similarity
SimilarityMatrixEntryKey.SimilarityMatrixEntryKeyGroupingComparator() - Constructor for class org.apache.mahout.math.hadoop.similarity.SimilarityMatrixEntryKey.SimilarityMatrixEntryKeyGroupingComparator
SimilarityMatrixRowWrapperMapper - Class in org.apache.mahout.cf.taste.hadoop.item
  maps a row of the similarity matrix to a `VectorOrPrefWritable` actually a column from that matrix has to be used but as the similarity matrix is symmetric, we can use a row instead of having to transpose it
SimilarityMatrixRowWrapperMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.SimilarityMatrixRowWrapperMapper
SimilarityTransform - Interface in org.apache.mahout.cf.taste.transforms
  Implementations encapsulate some transformation on similarity values between two things, where things might be IDs of users or items or something else.
SimilarityType - Enum in org.apache.mahout.math.hadoop.similarity
SimilarUser - Class in org.apache.mahout.cf.taste.impl.recommender
  Simply encapsulates a user and a similarity value.
SimilarUser(long, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.SimilarUser
singlePath() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.FPTree
SingleTreePredictions - Class in org.apache.mahout.df.callback
  Collects the predictions for a single tree
SingleTreePredictions(int) - Constructor for class org.apache.mahout.df.callback.SingleTreePredictions
size() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
size() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
size() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
size() - Method in interface org.apache.mahout.common.cache.Cache
  returns the current size of the cache
size() - Method in class org.apache.mahout.common.cache.HybridCache
size() - Method in class org.apache.mahout.common.cache.LeastKCache
size() - Method in class org.apache.mahout.common.cache.LFUCache
size() - Method in class org.apache.mahout.common.cache.LRUCache
size() - Method in class org.apache.mahout.df.data.Data
size() - Method in class org.apache.mahout.vectorizer.encoders.Dictionary
skip(int) - Method in class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
skip(int) - Method in class org.apache.mahout.cf.taste.impl.common.SamplingLongPrimitiveIterator
skip(int) - Method in interface org.apache.mahout.cf.taste.impl.common.SkippingIterator
  Skip the next n elements supplied by this `Iterator`.
skip(int) - Method in class org.apache.mahout.common.FileLineIterator
skip(int) - Method in class org.apache.mahout.common.iterator.ArrayIterator
SkippingIterator<V> - Interface in org.apache.mahout.cf.taste.impl.common
  Adds ability to skip ahead in an iterator, perhaps more efficiently than by calling `Iterator.next()` repeatedly.
SlopeOneAverageDiffsJob - Class in org.apache.mahout.cf.taste.hadoop.slopeone
SlopeOneAverageDiffsJob() - Constructor for class org.apache.mahout.cf.taste.hadoop.slopeone.SlopeOneAverageDiffsJob
SlopeOneDiffsToAveragesReducer - Class in org.apache.mahout.cf.taste.hadoop.slopeone
SlopeOneDiffsToAveragesReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.slopeone.SlopeOneDiffsToAveragesReducer
SlopeOnePrefsToDiffsReducer - Class in org.apache.mahout.cf.taste.hadoop.slopeone
SlopeOnePrefsToDiffsReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.slopeone.SlopeOnePrefsToDiffsReducer
SlopeOneRecommender - Class in org.apache.mahout.cf.taste.impl.recommender.slopeone
  A basic "slope one" recommender.
SlopeOneRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.slopeone.SlopeOneRecommender
  Creates a default (weighted) based on the given `DataModel`.
SlopeOneRecommender(DataModel, Weighting, Weighting, DiffStorage) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.slopeone.SlopeOneRecommender
  Creates a based on the given `DataModel`.
SoftCluster - Class in org.apache.mahout.clustering.fuzzykmeans
SoftCluster() - Constructor for class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
SoftCluster(Vector, int, DistanceMeasure) - Constructor for class org.apache.mahout.clustering.fuzzykmeans.SoftCluster
  Construct a new SoftCluster with the given point as its center
softLimit(double, double, double) - Static method in class org.apache.mahout.ep.Mapping
  Maps input to the open interval (min, max) with 0 going to the mean of min and max.
softLimit(double, double) - Static method in class org.apache.mahout.ep.Mapping
  Maps input to the open interval (min, max) with 0 going to the mean of min and max.
sortByItem() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
sortByItem() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
sortByItem() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
sortByItem() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
sortByItem() - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
  Sorts underlying array by item ID, ascending.
sortByUser() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
sortByUser() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
sortByUser() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
sortByUser() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
sortByUser() - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
  Sorts underlying array by user ID, ascending.
sortByValue() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
sortByValue() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
sortByValue() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
sortByValue() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
sortByValue() - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
  Sorts underlying array by preference value, ascending.
sortByValueReversed() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
sortByValueReversed() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
sortByValueReversed() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
sortByValueReversed() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
sortByValueReversed() - Method in interface org.apache.mahout.cf.taste.model.PreferenceArray
  Sorts underlying array by preference value, descending.
SORTED_OUTPUT - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
sortSplits(InputSplit[]) - Static method in class org.apache.mahout.df.mapreduce.Builder
  sort the splits into order based on size, so that the biggest go first.
  This is the same code used by Hadoop's JobClient.
SparseVectorsFromSequenceFiles - Class in org.apache.mahout.vectorizer
  Converts a given set of sequence files into SparseVectors
SpearmanCorrelationSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
  Like `PearsonCorrelationSimilarity`, but compares relative ranking of preference values instead of preference values themselves.
SpearmanCorrelationSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.SpearmanCorrelationSimilarity
SpectralKMeansDriver - Class in org.apache.mahout.clustering.spectral.kmeans
  Implementation of the EigenCuts spectral clustering algorithm.
SpectralKMeansDriver() - Constructor for class org.apache.mahout.clustering.spectral.kmeans.SpectralKMeansDriver
Split - Class in org.apache.mahout.df.split
  Contains enough information to identify each split
Split(int, double, double) - Constructor for class org.apache.mahout.df.split.Split
Split(int, double) - Constructor for class org.apache.mahout.df.split.Split
SPLIT_PATTERN - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
splitPrefTokens(CharSequence) - Static method in class org.apache.mahout.cf.taste.hadoop.TasteHadoopUtils
  Splits a preference data line into string tokens
SPLITTER - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
SquaredEuclideanDistanceMeasure - Class in org.apache.mahout.common.distance
  Like `EuclideanDistanceMeasure` but it does not take the square root.
SquaredEuclideanDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.SquaredEuclideanDistanceMeasure
StableFixedSizeSamplingIterator<T> - Class in org.apache.mahout.common.iterator
  Sample a fixed number of elements from an Iterator.
StableFixedSizeSamplingIterator(int, Iterator<T>) - Constructor for class org.apache.mahout.common.iterator.StableFixedSizeSamplingIterator
StandardNaiveBayesClassifier - Class in org.apache.mahout.classifier.naivebayes
  Class implementing the Naive Bayes Classifier Algorithm
StandardNaiveBayesClassifier(NaiveBayesModel) - Constructor for class org.apache.mahout.classifier.naivebayes.StandardNaiveBayesClassifier
startAggregating(Parameters) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
  Run the aggregation Job to aggregate the different TopK patterns and group each Pattern by the features present in it and thus calculate the final Top K frequent Patterns for each feature
startGroupingItems(Parameters) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
  Group the given Features into g groups as defined by the numGroups parameter in params
startParallelCounting(Parameters) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
  Count the frequencies of various features in parallel using Map/Reduce
startParallelFPGrowth(Parameters) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
  Run the Parallel FPGrowth Map/Reduce Job to calculate the Top K features of group dependent shards
startTransactionSorting(Parameters) - Static method in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
  Run the Parallel FPGrowth Map/Reduce Job to calculate the Top K features of group dependent shards
State<T extends Payload<T>> - Class in org.apache.mahout.ep
  Records evolutionary state and provides a mutation operation for recorded-step meta-mutation.
State() - Constructor for class org.apache.mahout.ep.State
State(double[], double) - Constructor for class org.apache.mahout.ep.State
  Invent a new state with no momentum (yet).
STATE_IN_KEY - Static variable in class org.apache.mahout.clustering.dirichlet.DirichletDriver
STATE_IN_KEY - Static variable in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyDriver
StaticWordValueEncoder - Class in org.apache.mahout.vectorizer.encoders
  Encodes a categorical values with an unbounded vocabulary.
StaticWordValueEncoder(String) - Constructor for class org.apache.mahout.vectorizer.encoders.StaticWordValueEncoder
StatusUpdater - Interface in org.apache.mahout.fpm.pfpgrowth.convertors
  An interface of a Status updater
Step0Job - Class in org.apache.mahout.df.mapreduce.partial
  preparation step of the partial mapreduce builder.
Step0Job(Path, Path, Path) - Constructor for class org.apache.mahout.df.mapreduce.partial.Step0Job
Step0Job.Step0Output - Class in org.apache.mahout.df.mapreduce.partial
  Output of the step0's mappers
Step0Job.Step0Output(long, int) - Constructor for class org.apache.mahout.df.mapreduce.partial.Step0Job.Step0Output
Step1Mapper - Class in org.apache.mahout.df.mapreduce.partial
  First step of the Partial Data Builder.
Step1Mapper() - Constructor for class org.apache.mahout.df.mapreduce.partial.Step1Mapper
Step2Job - Class in org.apache.mahout.df.mapreduce.partial
  2nd step of the partial mapreduce builder.
Step2Job(Path, Path, Path, Step0Job.Step0Output[]) - Constructor for class org.apache.mahout.df.mapreduce.partial.Step2Job
Step2Mapper - Class in org.apache.mahout.df.mapreduce.partial
  Second step of PartialBuilder.
Step2Mapper() - Constructor for class org.apache.mahout.df.mapreduce.partial.Step2Mapper
stepOffset(int) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
stepOffset(int) - Method in class org.apache.mahout.classifier.sgd.OnlineLogisticRegression
stepSize(int, double) - Static method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
STEvolutionEngine<T> - Class in org.apache.mahout.ga.watchmaker
  Single Threaded Evolution Engine.
STEvolutionEngine(CandidateFactory<T>, EvolutionaryOperator<T>, FitnessEvaluator<? super T>, SelectionStrategy<? super T>, Random) - Constructor for class org.apache.mahout.ga.watchmaker.STEvolutionEngine
STFitnessEvaluator<T> - Class in org.apache.mahout.ga.watchmaker
  Special Fitness Evaluator that evaluates all the population ones.
STFitnessEvaluator() - Constructor for class org.apache.mahout.ga.watchmaker.STFitnessEvaluator
store(FileSystem, Path, TreeID[], Node[], int[]) - Static method in class org.apache.mahout.df.mapreduce.partial.InterResults
  Write the forest trees into a file
storeMapping(long, String) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator
storeMapping(long, String) - Method in class org.apache.mahout.cf.taste.impl.model.MemoryIDMigrator
storeMapping(long, String) - Method in interface org.apache.mahout.cf.taste.model.UpdatableIDMigrator
  Stores the reverse long-to-String mapping in some kind of backing store.
storeWritable(Configuration, Path, Writable) - Static method in class org.apache.mahout.df.DFUtils
stringAt(int) - Method in class org.apache.mahout.common.StringTuple
  Fetches the string at the given location
StringOutputConverter - Class in org.apache.mahout.fpm.pfpgrowth.convertors.string
  Collects a string pattern in a MaxHeap and outputs the top K patterns
StringOutputConverter(OutputCollector<Text, TopKStringPatterns>) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.string.StringOutputConverter
StringParameter - Class in org.apache.mahout.common.parameters
StringParameter(String, String, JobConf, String, String) - Constructor for class org.apache.mahout.common.parameters.StringParameter
StringRecordIterator - Class in org.apache.mahout.common
StringRecordIterator(FileLineIterable, String) - Constructor for class org.apache.mahout.common.StringRecordIterator
StringTuple - Class in org.apache.mahout.common
  An Ordered List of Strings which can be used in a Hadoop Map/Reduce Job
StringTuple() - Constructor for class org.apache.mahout.common.StringTuple
StringTuple(String) - Constructor for class org.apache.mahout.common.StringTuple
StringTuple(Iterable<String>) - Constructor for class org.apache.mahout.common.StringTuple
StringTuple(String[]) - Constructor for class org.apache.mahout.common.StringTuple
StringTupleIterator - Class in org.apache.mahout.fpm.pfpgrowth.convertors.string
  Iterate over the StringTuple as an iterator of `List<String>`
StringTupleIterator(Iterator<StringTuple>) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.string.StringTupleIterator
StringUtils - Class in org.apache.mahout.common
  Offers two methods to convert an object to a string representation and restore the object given its string representation.
SUBGRAM_OUTPUT_DIRECTORY - Static variable in class org.apache.mahout.vectorizer.collocations.llr.CollocDriver
subset(Condition) - Method in class org.apache.mahout.df.data.Data
sum(int[]) - Static method in class org.apache.mahout.df.data.DataUtils
  Computes the sum of the values
SUM_VECTORS - Static variable in class org.apache.mahout.classifier.naivebayes.trainer.NaiveBayesTrainer
Summarizable - Interface in org.apache.mahout.common
  A Summarizable Interface.
summarize() - Method in class org.apache.mahout.classifier.ConfusionMatrix
summarize() - Method in class org.apache.mahout.classifier.ResultAnalyzer
summarize() - Method in interface org.apache.mahout.common.Summarizable
summary(int) - Method in class org.apache.mahout.classifier.sgd.ModelDissector
  Returns the n most important features with their weights, most important category and the top few categories that they affect.
support() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
SVDRecommender - Class in org.apache.mahout.cf.taste.impl.recommender.svd
  A `Recommender` which uses Single Value Decomposition to find the main features of the data set.
SVDRecommender(DataModel, CandidateItemsStrategy, int, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.SVDRecommender
SVDRecommender(DataModel, int, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.svd.SVDRecommender
swap() - Method in class org.apache.mahout.common.LongPair
swap() - Method in class org.apache.mahout.common.Pair

## T

T1_KEY - Static variable in interface org.apache.mahout.clustering.canopy.CanopyConfigKeys
T1_KEY - Static variable in interface org.apache.mahout.clustering.meanshift.MeanShiftCanopyConfigKeys
T1_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
t1Option() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for specification of T1.
T2_KEY - Static variable in interface org.apache.mahout.clustering.canopy.CanopyConfigKeys
T2_KEY - Static variable in interface org.apache.mahout.clustering.meanshift.MeanShiftCanopyConfigKeys
T2_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
t2Option() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for specification of T2.
TanimotoCoefficientSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
  An implementation of a "similarity" based on the Tanimoto coefficient, or extended Jaccard coefficient.
TanimotoCoefficientSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity
TanimotoDistanceMeasure - Class in org.apache.mahout.common.distance
  Tanimoto coefficient implementation.
TanimotoDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.TanimotoDistanceMeasure
TasteException - Exception in org.apache.mahout.cf.taste.common
  An exception thrown when an error occurs inside the Taste engine.
TasteException() - Constructor for exception org.apache.mahout.cf.taste.common.TasteException
TasteException(String) - Constructor for exception org.apache.mahout.cf.taste.common.TasteException
TasteException(Throwable) - Constructor for exception org.apache.mahout.cf.taste.common.TasteException
TasteException(String, Throwable) - Constructor for exception org.apache.mahout.cf.taste.common.TasteException
TasteHadoopUtils - Class in org.apache.mahout.cf.taste.hadoop
  Some helper methods for the hadoop-related stuff in org.apache.mahout.cf.taste
TAU - Static variable in interface org.apache.mahout.clustering.spectral.eigencuts.EigencutsKeys
  Tau, or the user-specified threshold for making cuts (setting edge affinities to 0) after performing non-maximal suppression on edge weight sensitivies.
TAU_DEFAULT - Static variable in class org.apache.mahout.clustering.spectral.eigencuts.EigencutsDriver
TEMP_USER_ID - Static variable in class org.apache.mahout.cf.taste.impl.model.PlusAnonymousUserDataModel
TermCountMapper - Class in org.apache.mahout.vectorizer.term
  TextVectorizer Term Count Mapper.
TermCountMapper() - Constructor for class org.apache.mahout.vectorizer.term.TermCountMapper
TermCountReducer - Class in org.apache.mahout.vectorizer.term
  Can also be used as a local Combiner.
TermCountReducer() - Constructor for class org.apache.mahout.vectorizer.term.TermCountReducer
TermDocumentCountMapper - Class in org.apache.mahout.vectorizer.term
  TextVectorizer Document Frequency Count Mapper.
TermDocumentCountMapper() - Constructor for class org.apache.mahout.vectorizer.term.TermDocumentCountMapper
TermDocumentCountReducer - Class in org.apache.mahout.vectorizer.term
  Can also be used as a local Combiner.
TermDocumentCountReducer() - Constructor for class org.apache.mahout.vectorizer.term.TermDocumentCountReducer
TestClassifier - Class in org.apache.mahout.classifier.bayes
  Test the Naive Bayes classifier with improved weighting

  To run the twenty newsgroups example: refer http://cwiki.apache.org/MAHOUT/twentynewsgroups.html
testConvergence(Iterable<SoftCluster>) - Method in class org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansClusterer
testConvergence(Iterable<Cluster>, double) - Method in class org.apache.mahout.clustering.kmeans.KMeansClusterer
  Sequential implementation to test convergence and update cluster centers
TextValueEncoder - Class in org.apache.mahout.vectorizer.encoders
  Encodes text that is tokenized on non-alphanum separators.
TextValueEncoder(String) - Constructor for class org.apache.mahout.vectorizer.encoders.TextValueEncoder
TF - Class in org.apache.mahout.vectorizer
  `org.apache.mahout.utils.vectors.Weight` based on term frequency only
TF() - Constructor for class org.apache.mahout.vectorizer.TF
TFIDF - Class in org.apache.mahout.vectorizer
TFIDF() - Constructor for class org.apache.mahout.vectorizer.TFIDF
TFIDF(Similarity) - Constructor for class org.apache.mahout.vectorizer.TFIDF
TFIDFConverter - Class in org.apache.mahout.vectorizer.tfidf
  This class converts a set of input vectors with term frequencies to TfIdf vectors.
TFIDFPartialVectorReducer - Class in org.apache.mahout.vectorizer.tfidf
  Converts a document in to a sparse vector
TFIDFPartialVectorReducer() - Constructor for class org.apache.mahout.vectorizer.tfidf.TFIDFPartialVectorReducer
TFPartialVectorReducer - Class in org.apache.mahout.vectorizer.term
  Converts a document in to a sparse vector
TFPartialVectorReducer() - Constructor for class org.apache.mahout.vectorizer.term.TFPartialVectorReducer
THETA_SUM - Static variable in class org.apache.mahout.classifier.naivebayes.trainer.NaiveBayesTrainer
ThreadedEvolutionaryProcess - Class in org.apache.mahout.ep
  Implements threaded optimization of an objective function.
ThreadedEvolutionaryProcess(int) - Constructor for class org.apache.mahout.ep.ThreadedEvolutionaryProcess
ThreadedEvolutionaryProcess.EvalTask - Class in org.apache.mahout.ep
ThreadedEvolutionaryProcess.EvalTask(ThreadedEvolutionaryProcess.Function, State<?>) - Constructor for class org.apache.mahout.ep.ThreadedEvolutionaryProcess.EvalTask
ThreadedEvolutionaryProcess.Function - Interface in org.apache.mahout.ep
THRESHOLD_KEY - Static variable in class org.apache.mahout.clustering.dirichlet.DirichletDriver
THRESHOLD_KEY - Static variable in interface org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansConfigKeys
THRESHOLD_OPTION - Static variable in class org.apache.mahout.common.commandline.DefaultOptionCreator
thresholdOption() - Static method in class org.apache.mahout.common.commandline.DefaultOptionCreator
  Returns a default command line option for specifying the clustering threshold value.
ThresholdUserNeighborhood - Class in org.apache.mahout.cf.taste.impl.neighborhood
  Computes a neigbhorhood consisting of all users whose similarity to the given user meets or exceeds a certain threshold.
ThresholdUserNeighborhood(double, UserSimilarity, DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.neighborhood.ThresholdUserNeighborhood
ThresholdUserNeighborhood(double, UserSimilarity, DataModel, double) - Constructor for class org.apache.mahout.cf.taste.impl.neighborhood.ThresholdUserNeighborhood
times(DistributedRowMatrix) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
  This implements matrix this.transpose().times(other)
times(Vector) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
timesDelta(int, double) - Method in class org.apache.mahout.classifier.discriminative.LinearModel
  Multiply the weight at index by delta.
timesSquared(Vector) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
TimesSquaredJob - Class in org.apache.mahout.math.hadoop
TimesSquaredJob.TimesMapper - Class in org.apache.mahout.math.hadoop
TimesSquaredJob.TimesMapper() - Constructor for class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesMapper
TimesSquaredJob.TimesSquaredMapper<T extends org.apache.hadoop.io.WritableComparable> - Class in org.apache.mahout.math.hadoop
TimesSquaredJob.TimesSquaredMapper() - Constructor for class org.apache.mahout.math.hadoop.TimesSquaredJob.TimesSquaredMapper
TimesSquaredJob.VectorSummingReducer - Class in org.apache.mahout.math.hadoop
TimesSquaredJob.VectorSummingReducer() - Constructor for class org.apache.mahout.math.hadoop.TimesSquaredJob.VectorSummingReducer
TimingStatistics - Class in org.apache.mahout.common
TimingStatistics() - Constructor for class org.apache.mahout.common.TimingStatistics
  Creates a new instance of CallStats
TimingStatistics(int, long, long, long, double) - Constructor for class org.apache.mahout.common.TimingStatistics
TimingStatistics.Call - Class in org.apache.mahout.common
toArray() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
toDataMap(DataModel) - Static method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
  Exports the simple user IDs and associated item IDs in the data model.
toDataMap(FastByIDMap<PreferenceArray>) - Static method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
toDataMap(FastByIDMap<Collection<Preference>>, boolean) - Static method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
  Swaps, in-place, `List`s for arrays in `Map` values .
toDataMap(DataModel) - Static method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
  Exports the simple user IDs and preferences in the data model.
ToEntityPrefsMapper - Class in org.apache.mahout.cf.taste.hadoop
ToItemPrefsMapper - Class in org.apache.mahout.cf.taste.hadoop
  Input
ToItemPrefsMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.ToItemPrefsMapper
ToItemVectorsReducer - Class in org.apache.mahout.cf.taste.hadoop.similarity.item
ToItemVectorsReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.similarity.item.ToItemVectorsReducer
toJson() - Method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
  Encode this NaiveBayesModel as a JSON string
toJson() - Method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmModel
  Encode this HMMmodel as a JSON string
tokenize(CharSequence) - Method in class org.apache.mahout.vectorizer.encoders.LuceneTextValueEncoder
  Tokenizes a string using the simplest method.
tokenize(CharSequence) - Method in class org.apache.mahout.vectorizer.encoders.TextValueEncoder
  Tokenizes a string using the simplest method.
TOKENIZED_DOCUMENT_OUTPUT_FOLDER - Static variable in class org.apache.mahout.vectorizer.DocumentProcessor
tokenizeDocuments(Path, Class<? extends Analyzer>, Path) - Static method in class org.apache.mahout.vectorizer.DocumentProcessor
  Convert the input documents into token array using the `StringTuple` The input documents has to be in the `SequenceFile` format
toLongID(String) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractIDMigrator
toLongID(String) - Method in interface org.apache.mahout.cf.taste.model.IDMigrator
TopItems - Class in org.apache.mahout.cf.taste.impl.recommender
  A simple class that refactors the "find top N things" logic that is used in several places.
TopItems.Estimator<T> - Interface in org.apache.mahout.cf.taste.impl.recommender
TopKPatternsOutputConverter<A extends java.lang.Comparable<? super A>> - Class in org.apache.mahout.fpm.pfpgrowth.convertors
  An output converter which converts the output patterns and collects them in a `FrequentPatternMaxHeap`
TopKPatternsOutputConverter(OutputCollector<A, List<Pair<List<A>, Long>>>, Map<Integer, A>) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.TopKPatternsOutputConverter
TopKStringPatterns - Class in org.apache.mahout.fpm.pfpgrowth.convertors.string
  A class which collects Top K string patterns
TopKStringPatterns() - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.string.TopKStringPatterns
TopKStringPatterns(Collection<Pair<List<String>, Long>>) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.string.TopKStringPatterns
toString() - Method in class org.apache.mahout.cf.taste.hadoop.EntityCountWritable
toString() - Method in class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable
toString() - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
toString() - Method in class org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable
toString() - Method in class org.apache.mahout.cf.taste.impl.common.Cache
toString() - Method in class org.apache.mahout.cf.taste.impl.common.CompactRunningAverage
toString() - Method in class org.apache.mahout.cf.taste.impl.common.CompactRunningAverageAndStdDev
toString() - Method in class org.apache.mahout.cf.taste.impl.common.FastByIDMap
toString() - Method in class org.apache.mahout.cf.taste.impl.common.FastIDSet
toString() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
toString() - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverage
toString() - Method in class org.apache.mahout.cf.taste.impl.common.FixedRunningAverageAndStdDev
toString() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverage
toString() - Method in class org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
toString() - Method in class org.apache.mahout.cf.taste.impl.common.LongPrimitiveArrayIterator
toString() - Method in class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
toString() - Method in class org.apache.mahout.cf.taste.impl.eval.AverageAbsoluteDifferenceRecommenderEvaluator
toString() - Method in class org.apache.mahout.cf.taste.impl.eval.IRStatisticsImpl
toString() - Method in class org.apache.mahout.cf.taste.impl.eval.RMSRecommenderEvaluator
toString() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanItemPreferenceArray
toString() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanPreference
toString() - Method in class org.apache.mahout.cf.taste.impl.model.BooleanUserPreferenceArray
toString() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileDataModel
toString() - Method in class org.apache.mahout.cf.taste.impl.model.file.FileIDMigrator
toString() - Method in class org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel
toString() - Method in class org.apache.mahout.cf.taste.impl.model.GenericDataModel
toString() - Method in class org.apache.mahout.cf.taste.impl.model.GenericItemPreferenceArray
toString() - Method in class org.apache.mahout.cf.taste.impl.model.GenericPreference
toString() - Method in class org.apache.mahout.cf.taste.impl.model.GenericUserPreferenceArray
toString() - Method in class org.apache.mahout.cf.taste.impl.neighborhood.NearestNUserNeighborhood
toString() - Method in class org.apache.mahout.cf.taste.impl.neighborhood.ThresholdUserNeighborhood
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.FarthestNeighborClusterSimilarity
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefUserBasedRecommender
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemAverageRecommender
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.ItemUserAverageRecommender
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.NearestNeighborClusterSimilarity
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.NullRescorer
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.SimilarUser
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.MemoryDiffStorage
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.SlopeOneRecommender
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.SVDRecommender
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender
toString() - Method in class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender2
toString() - Method in class org.apache.mahout.cf.taste.impl.similarity.AveragingPreferenceInferrer
toString() - Method in class org.apache.mahout.cf.taste.impl.similarity.file.FileItemSimilarity
toString() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericItemSimilarity.ItemItemSimilarity
toString() - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity.UserUserSimilarity
toString() - Method in class org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity
toString() - Method in class org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity
toString() - Method in class org.apache.mahout.cf.taste.impl.transforms.CaseAmplification
toString() - Method in class org.apache.mahout.cf.taste.impl.transforms.InverseUserFrequency
toString() - Method in class org.apache.mahout.cf.taste.impl.transforms.ZScore
toString() - Method in class org.apache.mahout.classifier.ClassifierResult
toString() - Method in class org.apache.mahout.classifier.discriminative.LinearModel
toString() - Method in class org.apache.mahout.classifier.ResultAnalyzer
toString() - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
toString() - Method in class org.apache.mahout.clustering.canopy.Canopy
toString() - Method in class org.apache.mahout.clustering.ClusterObservations
toString() - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
toString() - Method in class org.apache.mahout.clustering.dirichlet.models.L1Model
toString() - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModel
toString() - Method in class org.apache.mahout.clustering.dirichlet.models.SampledNormalModel
toString() - Method in class org.apache.mahout.clustering.kmeans.Cluster
toString() - Method in class org.apache.mahout.clustering.WeightedVectorWritable
toString() - Method in class org.apache.mahout.common.IntegerTuple
toString() - Method in class org.apache.mahout.common.IntPairWritable.Frequency
toString() - Method in class org.apache.mahout.common.IntPairWritable
toString() - Method in class org.apache.mahout.common.iterator.ArrayIterator
toString() - Method in class org.apache.mahout.common.iterator.EmptyIterable
toString() - Method in class org.apache.mahout.common.iterator.EmptyIterator
toString() - Method in class org.apache.mahout.common.iterator.IteratorIterable
toString() - Method in class org.apache.mahout.common.LongPair
toString() - Method in class org.apache.mahout.common.Pair
toString() - Method in class org.apache.mahout.common.parameters.AbstractParameter
toString() - Method in class org.apache.mahout.common.Parameters
toString() - Method in class org.apache.mahout.common.StringTuple
toString(Object) - Static method in class org.apache.mahout.common.StringUtils
  Converts the object to a one-line string representation
toString() - Method in class org.apache.mahout.common.TimingStatistics
toString() - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
toString() - Method in class org.apache.mahout.df.mapreduce.MapredOutput
toString() - Method in class org.apache.mahout.df.node.Node
toString() - Method in class org.apache.mahout.df.split.Split
toString() - Method in class org.apache.mahout.ep.State
toString() - Method in class org.apache.mahout.ep.ThreadedEvolutionaryProcess
toString() - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.string.TopKStringPatterns
toString() - Method in class org.apache.mahout.fpm.pfpgrowth.fpgrowth.Pattern
toString() - Method in class org.apache.mahout.math.VarIntWritable
toString() - Method in class org.apache.mahout.math.VarLongWritable
toString() - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram
toString() - Method in enum org.apache.mahout.vectorizer.collocations.llr.Gram.Type
toString() - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey
toStringID(long) - Method in class org.apache.mahout.cf.taste.impl.model.AbstractJDBCIDMigrator
toStringID(long) - Method in class org.apache.mahout.cf.taste.impl.model.file.FileIDMigrator
toStringID(long) - Method in class org.apache.mahout.cf.taste.impl.model.MemoryIDMigrator
toStringID(long) - Method in interface org.apache.mahout.cf.taste.model.IDMigrator
TOTAL_SUM - Static variable in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesConstants
totalCounts() - Method in class org.apache.mahout.clustering.dirichlet.DirichletState
ToUserPrefsMapper - Class in org.apache.mahout.cf.taste.hadoop
  The 'reverse' of `ToItemPrefsMapper`; outputs item IDs mapped to user-pref data.
ToUserPrefsMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.ToUserPrefsMapper
ToUserVectorReducer - Class in org.apache.mahout.cf.taste.hadoop.item
  Input
ToUserVectorReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.ToUserVectorReducer
ToVectorAndPrefReducer - Class in org.apache.mahout.cf.taste.hadoop.item
ToVectorAndPrefReducer() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.ToVectorAndPrefReducer
TPrior - Class in org.apache.mahout.classifier.sgd
  Provides a t-distribution as a prior.
TPrior(double) - Constructor for class org.apache.mahout.classifier.sgd.TPrior
trace(String, int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
trace(byte[], int) - Method in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
train(int, int, int, double) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.ExpectationMaximizationSVD
train(int) - Method in class org.apache.mahout.cf.taste.impl.recommender.svd.SVDRecommender
train(Vector, Matrix) - Method in class org.apache.mahout.classifier.discriminative.LinearTrainer
  Initializes training.
train(int, Vector) - Method in interface org.apache.mahout.classifier.OnlineLearner
  Updates the model using a particular target variable value and a feature vector.
train(long, String, int, Vector) - Method in interface org.apache.mahout.classifier.OnlineLearner
  Updates the model using a particular target variable value and a feature vector.
train(long, int, Vector) - Method in interface org.apache.mahout.classifier.OnlineLearner
  Updates the model using a particular target variable value and a feature vector.
train(long, String, int, Vector) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
train(long, int, Vector) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
train(int, Vector) - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
train(int, Vector) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
train(long, int, Vector) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
train(long, String, int, Vector) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression
train(AdaptiveLogisticRegression.TrainingExample) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
train(int, Vector) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
train(long, int, Vector) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
train(long, String, int, Vector) - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
trainBaumWelch(HmmModel, int[], double, int, boolean) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmTrainer
  Iteratively train the parameters of the given initial model wrt the observed sequence using Baum-Welch training.
TrainClassifier - Class in org.apache.mahout.classifier.bayes
  Train the Naive Bayes classifier with improved weighting.
trainCNaiveBayes(Path, Path, BayesParameters) - Static method in class org.apache.mahout.classifier.bayes.TrainClassifier
TrainingException - Exception in org.apache.mahout.classifier.discriminative
  This exception is thrown in case training fails.
TrainingException(String) - Constructor for exception org.apache.mahout.classifier.discriminative.TrainingException
  Init with message string describing the cause of the exception.
trainNaiveBayes(Path, Path, BayesParameters) - Static method in class org.apache.mahout.classifier.bayes.TrainClassifier
trainNaiveBayes(Path, Configuration, List<String>, Path, int, float, boolean) - Static method in class org.apache.mahout.classifier.naivebayes.trainer.NaiveBayesTrainer
trainSupervised(int, int, int[], int[], double) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmTrainer
  Create an supervised initial estimate of an HMM Model based on a sequence of observed and hidden states.
trainSupervisedSequence(int, int, Collection<int[]>, Collection<int[]>, double) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmTrainer
  Create an supervised initial estimate of an HMM Model based on a number of sequences of observed and hidden states.
trainViterbi(HmmModel, int[], double, double, int, boolean) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmTrainer
  Iteratively train the parameters of the given initial model wrt to the observed sequence using Viterbi training.
TransactionIterator<AP> - Class in org.apache.mahout.fpm.pfpgrowth.convertors
  Iterates over a Transaction and outputs the transaction integer id mapping and the support of the transaction
TransactionIterator(Iterator<Pair<List<AP>, Long>>, Map<AP, Integer>) - Constructor for class org.apache.mahout.fpm.pfpgrowth.convertors.TransactionIterator
TransactionSortingMapper - Class in org.apache.mahout.fpm.pfpgrowth
  maps each transaction to all unique items groups in the transaction.
TransactionSortingMapper() - Constructor for class org.apache.mahout.fpm.pfpgrowth.TransactionSortingMapper
TransactionSortingReducer - Class in org.apache.mahout.fpm.pfpgrowth
  takes each group of transactions and runs Vanilla FPGrowth on it and outputs the the Top K frequent Patterns for each group.
TransactionSortingReducer() - Constructor for class org.apache.mahout.fpm.pfpgrowth.TransactionSortingReducer
TransactionTree - Class in org.apache.mahout.fpm.pfpgrowth
  A compact representation of transactions modeled on the lines to `FPTree` This reduces plenty of space and speeds up Map/Reduce of `PFPGrowth` algorithm by reducing data size passed from the Mapper to the reducer where `FPGrowth` mining is done
TransactionTree() - Constructor for class org.apache.mahout.fpm.pfpgrowth.TransactionTree
TransactionTree(int) - Constructor for class org.apache.mahout.fpm.pfpgrowth.TransactionTree
TransactionTree(Integer[], Long) - Constructor for class org.apache.mahout.fpm.pfpgrowth.TransactionTree
TransactionTree(List<Pair<List<Integer>, Long>>) - Constructor for class org.apache.mahout.fpm.pfpgrowth.TransactionTree
TransactionTree.TransactionTreeIterator - Class in org.apache.mahout.fpm.pfpgrowth
  Generates a List of transactions view of Transaction Tree by doing Depth First Traversal on the tree structure
TransactionTree.TransactionTreeIterator() - Constructor for class org.apache.mahout.fpm.pfpgrowth.TransactionTree.TransactionTreeIterator
transformSimilarity(long, long, double) - Method in class org.apache.mahout.cf.taste.impl.transforms.CaseAmplification
  Transforms one similarity value.
transformSimilarity(long, long, double) - Method in interface org.apache.mahout.cf.taste.transforms.SimilarityTransform
transpose() - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix
TRANSPOSE_USER_ITEM - Static variable in class org.apache.mahout.cf.taste.hadoop.ToEntityPrefsMapper
TransposeJob - Class in org.apache.mahout.math.hadoop
  TODO: rewrite to use helpful combiner.
TransposeJob() - Constructor for class org.apache.mahout.math.hadoop.TransposeJob
TransposeJob.TransposeMapper - Class in org.apache.mahout.math.hadoop
TransposeJob.TransposeMapper() - Constructor for class org.apache.mahout.math.hadoop.TransposeJob.TransposeMapper
TransposeJob.TransposeReducer - Class in org.apache.mahout.math.hadoop
TransposeJob.TransposeReducer() - Constructor for class org.apache.mahout.math.hadoop.TransposeJob.TransposeReducer
TREE_CACHE_SIZE - Static variable in class org.apache.mahout.fpm.pfpgrowth.PFPGrowth
TreeBuilder - Interface in org.apache.mahout.df.builder
  Abstract base class for TreeBuilders
TreeClusteringRecommender - Class in org.apache.mahout.cf.taste.impl.recommender
  A `Recommender` that clusters users, then determines the clusters' top recommendations.
TreeClusteringRecommender(DataModel, ClusterSimilarity, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender
TreeClusteringRecommender(DataModel, ClusterSimilarity, int, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender
TreeClusteringRecommender(DataModel, ClusterSimilarity, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender
TreeClusteringRecommender(DataModel, ClusterSimilarity, double, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender
TreeClusteringRecommender2 - Class in org.apache.mahout.cf.taste.impl.recommender
  A `Recommender` that clusters users, then determines the clusters' top recommendations.
TreeClusteringRecommender2(DataModel, ClusterSimilarity, int) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender2
TreeClusteringRecommender2(DataModel, ClusterSimilarity, double) - Constructor for class org.apache.mahout.cf.taste.impl.recommender.TreeClusteringRecommender2
TreeID - Class in org.apache.mahout.df.mapreduce.partial
  Indicates both the tree and the data partition used to grow the tree
TreeID() - Constructor for class org.apache.mahout.df.mapreduce.partial.TreeID
TreeID(int, int) - Constructor for class org.apache.mahout.df.mapreduce.partial.TreeID
treeId() - Method in class org.apache.mahout.df.mapreduce.partial.TreeID
truncateModel(HmmModel, double) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmUtils
  Method to reduce the size of an HMMmodel by converting the models DenseMatrix/DenseVectors to sparse implementations and setting every value < threshold to 0
type() - Method in class org.apache.mahout.common.parameters.AbstractParameter
type() - Method in interface org.apache.mahout.common.parameters.Parameter

## U

UDistrib - Class in org.apache.mahout.df.tools
  This tool is used to uniformly distribute the class of all the tuples of the dataset over a given number of partitions.
UncenteredCosineSimilarity - Class in org.apache.mahout.cf.taste.impl.similarity
  An implementation of the cosine similarity.
UncenteredCosineSimilarity(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.UncenteredCosineSimilarity
UncenteredCosineSimilarity(DataModel, Weighting) - Constructor for class org.apache.mahout.cf.taste.impl.similarity.UncenteredCosineSimilarity
UncommonDistributions - Class in org.apache.mahout.clustering.dirichlet
UniformPrior - Class in org.apache.mahout.classifier.sgd
  A uniform prior.
UniformPrior() - Constructor for class org.apache.mahout.classifier.sgd.UniformPrior
UnitVectorizerJob - Class in org.apache.mahout.clustering.spectral.common
  Given a DistributedRowMatrix, this job normalizes each row to unit vector length.
UnitVectorizerJob.UnitVectorizerMapper - Class in org.apache.mahout.clustering.spectral.common
UnitVectorizerJob.UnitVectorizerMapper() - Constructor for class org.apache.mahout.clustering.spectral.common.UnitVectorizerJob.UnitVectorizerMapper
unseal() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
unwrap(Class<T>) - Method in class org.apache.mahout.cf.taste.impl.model.jdbc.ConnectionPoolDataSource
UpdatableIDMigrator - Interface in org.apache.mahout.cf.taste.model
update(double, Vector, LinearModel) - Method in class org.apache.mahout.classifier.discriminative.LinearTrainer
  Implement this method to match your training strategy.
update(double, Vector, LinearModel) - Method in class org.apache.mahout.classifier.discriminative.PerceptronTrainer
  Implement this method to match your training strategy.
update(double, Vector, LinearModel) - Method in class org.apache.mahout.classifier.discriminative.WinnowTrainer
  Implement this method to match your training strategy.
update(double[]) - Method in class org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.Wrapper
update(Vector, Map<String, Set<Integer>>, AbstractVectorClassifier) - Method in class org.apache.mahout.classifier.sgd.ModelDissector
  Probes a model to determine the effect of a particular variable.
update(Cluster[]) - Method in class org.apache.mahout.clustering.dirichlet.DirichletState
  Update the receiver with the new models
update(double[]) - Method in interface org.apache.mahout.ep.Payload
update(String) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.ContextStatusUpdater
update(String) - Method in interface org.apache.mahout.fpm.pfpgrowth.convertors.StatusUpdater
updateCentroids(Iterable<Canopy>) - Static method in class org.apache.mahout.clustering.canopy.CanopyClusterer
  Iterate through the canopies, resetting their center to their centroids
updateCluster(Cluster, int) - Method in class org.apache.mahout.clustering.dirichlet.DirichletClusterer
updateCounts - Variable in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
updateItemPref(long, float, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.file.FileDiffStorage
updateItemPref(long, float, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.jdbc.AbstractJDBCDiffStorage
  Note that this implementation does not update standard deviations.
updateItemPref(long, float, boolean) - Method in class org.apache.mahout.cf.taste.impl.recommender.slopeone.MemoryDiffStorage
updateItemPref(long, float, boolean) - Method in interface org.apache.mahout.cf.taste.recommender.slopeone.DiffStorage
  Updates internal data structures to reflect an update in a preference value for an item.
updateModels(Cluster[]) - Method in class org.apache.mahout.clustering.dirichlet.DirichletClusterer
updateSteps - Variable in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
UserBasedRecommender - Interface in org.apache.mahout.cf.taste.recommender
  Interface implemented by "user-based" recommenders.
UserIDsMapper - Class in org.apache.mahout.cf.taste.hadoop.pseudo
  Extracts and emits all user IDs from the users file, or input file.
UserIDsMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.pseudo.UserIDsMapper
UserNeighborhood - Interface in org.apache.mahout.cf.taste.neighborhood
  Implementations of this interface compute a "neighborhood" of users like a given user.
userSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.CachingUserSimilarity
userSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.GenericUserSimilarity
userSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity
userSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.SpearmanCorrelationSimilarity
userSimilarity(long, long) - Method in class org.apache.mahout.cf.taste.impl.similarity.TanimotoCoefficientSimilarity
UserSimilarity - Interface in org.apache.mahout.cf.taste.similarity
  Implementations of this interface define a notion of similarity between two users.
userSimilarity(long, long) - Method in interface org.apache.mahout.cf.taste.similarity.UserSimilarity
  Returns the degree of similarity, of two users, based on the their preferences.
UserVectorSplitterMapper - Class in org.apache.mahout.cf.taste.hadoop.item
UserVectorSplitterMapper() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.UserVectorSplitterMapper
usesFirstLineAsSchema() - Method in class org.apache.mahout.classifier.sgd.CsvRecordFactory
usesFirstLineAsSchema() - Method in interface org.apache.mahout.classifier.sgd.RecordFactory

## V

validate(NaiveBayesModel) - Static method in class org.apache.mahout.classifier.naivebayes.NaiveBayesModel
validate(HmmModel) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmUtils
  Validates an HMM model set
validModel() - Method in class org.apache.mahout.classifier.sgd.AbstractOnlineLogisticRegression
validModel() - Method in class org.apache.mahout.classifier.sgd.CrossFoldLearner
value() - Method in class org.apache.mahout.math.stats.GlobalOnlineAuc
valueOf(String) - Static method in enum org.apache.mahout.cf.taste.common.Weighting
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.cf.taste.hadoop.pseudo.ReducerMetrics
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.clustering.minhash.HashFactory.HashType
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.df.data.Dataset.Attribute
  Returns the enum constant of this type with the specified name.
valueOf(int, String) - Method in class org.apache.mahout.df.data.Dataset
  Converts a token to its corresponding int code for a given attribute
valueOf(String) - Static method in enum org.apache.mahout.df.node.Node.Type
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.math.hadoop.similarity.SimilarityType
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.vectorizer.collocations.llr.CollocMapper.Count
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.vectorizer.collocations.llr.CollocReducer.Skipped
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.vectorizer.collocations.llr.Gram.Type
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.mahout.vectorizer.collocations.llr.LLRReducer.Skipped
  Returns the enum constant of this type with the specified name.
values() - Static method in enum org.apache.mahout.cf.taste.common.Weighting
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.mahout.cf.taste.hadoop.pseudo.ReducerMetrics
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Method in class org.apache.mahout.cf.taste.impl.common.FastMap
values() - Static method in enum org.apache.mahout.clustering.minhash.HashFactory.HashType
  Returns an array containing the constants of this enum type, in the order they are declared.
values(int) - Method in class org.apache.mahout.df.data.Data
  finds all distinct values of a given attribute
values() - Static method in enum org.apache.mahout.df.data.Dataset.Attribute
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.mahout.df.node.Node.Type
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.mahout.math.hadoop.similarity.SimilarityType
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.mahout.vectorizer.collocations.llr.CollocMapper.Count
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.mahout.vectorizer.collocations.llr.CollocReducer.Skipped
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.mahout.vectorizer.collocations.llr.Gram.Type
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.mahout.vectorizer.collocations.llr.LLRReducer.Skipped
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Method in class org.apache.mahout.vectorizer.encoders.Dictionary
Varint - Class in org.apache.mahout.math
  Encodes signed and unsigned values using a common variable-length scheme, found for example in Google's Protocol Buffers.
VarIntWritable - Class in org.apache.mahout.math
VarIntWritable() - Constructor for class org.apache.mahout.math.VarIntWritable
VarIntWritable(int) - Constructor for class org.apache.mahout.math.VarIntWritable
VarLongWritable - Class in org.apache.mahout.math
VarLongWritable() - Constructor for class org.apache.mahout.math.VarLongWritable
VarLongWritable(long) - Constructor for class org.apache.mahout.math.VarLongWritable
VECTOR_CACHE_BASE - Static variable in interface org.apache.mahout.clustering.spectral.eigencuts.EigencutsKeys
  Base path to the location on HDFS where the diagonal matrix (a vector) and the list of eigenvalues will be stored for one of the map/reduce jobs in Eigencuts.
VECTOR_COUNT - Static variable in class org.apache.mahout.vectorizer.tfidf.TFIDFConverter
VectorAndPrefsWritable - Class in org.apache.mahout.cf.taste.hadoop.item
VectorAndPrefsWritable() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.VectorAndPrefsWritable
VectorAndPrefsWritable(Vector, List<Long>, List<Float>) - Constructor for class org.apache.mahout.cf.taste.hadoop.item.VectorAndPrefsWritable
VectorCache - Class in org.apache.mahout.clustering.spectral.common
  This class handles reading and writing vectors to the Hadoop distributed cache.
VectorMatrixMultiplicationJob - Class in org.apache.mahout.clustering.spectral.common
  This class handles the three-way multiplication of the digonal matrix and the Markov transition matrix inherent in the Eigencuts algorithm.
VectorMatrixMultiplicationJob.VectorMatrixMultiplicationMapper - Class in org.apache.mahout.clustering.spectral.common
VectorMatrixMultiplicationJob.VectorMatrixMultiplicationMapper() - Constructor for class org.apache.mahout.clustering.spectral.common.VectorMatrixMultiplicationJob.VectorMatrixMultiplicationMapper
VectorModelClassifier - Class in org.apache.mahout.clustering
  This classifier works with any of the clustering Models.
VectorModelClassifier(List<Model<VectorWritable>>) - Constructor for class org.apache.mahout.clustering.VectorModelClassifier
VectorOrPrefWritable - Class in org.apache.mahout.cf.taste.hadoop.item
VectorOrPrefWritable() - Constructor for class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable
VectorOrPrefWritable(Vector) - Constructor for class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable
VectorOrPrefWritable(long, float) - Constructor for class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable
VectorWritable - Class in org.apache.mahout.math
VectorWritable() - Constructor for class org.apache.mahout.math.VectorWritable
VectorWritable(Vector) - Constructor for class org.apache.mahout.math.VectorWritable
verifyNonOverlap(Iterable<MeanShiftCanopy>) - Static method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopyClusterer
VertexWritable - Class in org.apache.mahout.clustering.spectral.common
  Represents a vertex within the affinity graph for Eigencuts.
VertexWritable() - Constructor for class org.apache.mahout.clustering.spectral.common.VertexWritable
VertexWritable(int, int, double, String) - Constructor for class org.apache.mahout.clustering.spectral.common.VertexWritable
viterbiAlgorithm(HmmModel, int[], boolean) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.HmmAlgorithms
  Viterbi algorithm to compute the most likely hidden sequence for a given model and observed sequence

## W

WEIGHT - Static variable in class org.apache.mahout.classifier.bayes.mapreduce.common.BayesConstants
WEIGHT - Static variable in class org.apache.mahout.classifier.naivebayes.BayesConstants
weight(Vector) - Method in class org.apache.mahout.math.hadoop.similarity.vector.AbstractDistributedVectorSimilarity
  vectors have no weight (NaN) by default, subclasses may override this
weight(Vector) - Method in class org.apache.mahout.math.hadoop.similarity.vector.DistributedCooccurrenceVectorSimilarity
weight(Vector) - Method in class org.apache.mahout.math.hadoop.similarity.vector.DistributedLoglikelihoodVectorSimilarity
weight(Vector) - Method in class org.apache.mahout.math.hadoop.similarity.vector.DistributedTanimotoCoefficientVectorSimilarity
weight(Vector) - Method in class org.apache.mahout.math.hadoop.similarity.vector.DistributedUncenteredZeroAssumingCosineVectorSimilarity
weight(Vector) - Method in interface org.apache.mahout.math.hadoop.similarity.vector.DistributedVectorSimilarity
  compute the weight (e.g.
weight(byte[]) - Method in class org.apache.mahout.vectorizer.encoders.AdaptiveWordValueEncoder
weight(byte[]) - Method in class org.apache.mahout.vectorizer.encoders.StaticWordValueEncoder
weight(byte[]) - Method in class org.apache.mahout.vectorizer.encoders.WordValueEncoder
Weight - Interface in org.apache.mahout.vectorizer
WeightedDistanceMeasure - Class in org.apache.mahout.common.distance
  Abstract implementation of DistanceMeasure with support for weights.
WeightedDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.WeightedDistanceMeasure
WeightedEuclideanDistanceMeasure - Class in org.apache.mahout.common.distance
  This class implements a Euclidean distance metric by summing the square root of the squared differences between each coordinate, optionally adding weights.
WeightedEuclideanDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.WeightedEuclideanDistanceMeasure
WeightedManhattanDistanceMeasure - Class in org.apache.mahout.common.distance
  This class implements a "Manhattan distance" metric by summing the absolute values of the difference between each coordinate, optionally with weights.
WeightedManhattanDistanceMeasure() - Constructor for class org.apache.mahout.common.distance.WeightedManhattanDistanceMeasure
WeightedRowPair - Class in org.apache.mahout.math.hadoop.similarity
  a pair of row vectors that has at least one entry != NaN in the same column together with the precomputed weights of the row vectors
WeightedRowPair() - Constructor for class org.apache.mahout.math.hadoop.similarity.WeightedRowPair
WeightedRowPair(int, int, double, double) - Constructor for class org.apache.mahout.math.hadoop.similarity.WeightedRowPair
WeightedRunningAverage - Class in org.apache.mahout.cf.taste.impl.common
WeightedRunningAverage() - Constructor for class org.apache.mahout.cf.taste.impl.common.WeightedRunningAverage
WeightedVectorWritable - Class in org.apache.mahout.clustering
WeightedVectorWritable() - Constructor for class org.apache.mahout.clustering.WeightedVectorWritable
WeightedVectorWritable(double, Vector) - Constructor for class org.apache.mahout.clustering.WeightedVectorWritable
Weighting - Enum in org.apache.mahout.cf.taste.common
  A simple enum which gives symbolic names to the ideas of "weighted" and "unweighted", to make various API calls which take a weighting parameter more readable.
WinnowTrainer - Class in org.apache.mahout.classifier.discriminative
  This class implements training according to the winnow update algorithm.
WinnowTrainer(int, double, double, double, double) - Constructor for class org.apache.mahout.classifier.discriminative.WinnowTrainer
WinnowTrainer(int, double) - Constructor for class org.apache.mahout.classifier.discriminative.WinnowTrainer
WinnowTrainer(int) - Constructor for class org.apache.mahout.classifier.discriminative.WinnowTrainer
  Initializes with dimension and promotionStep of 2.
WORD_LIKE_VALUE_HASH_SEED - Static variable in class org.apache.mahout.vectorizer.encoders.FeatureVectorEncoder
WordValueEncoder - Class in org.apache.mahout.vectorizer.encoders
  Encodes words as sparse vector updates to a Vector.
WordValueEncoder(String) - Constructor for class org.apache.mahout.vectorizer.encoders.WordValueEncoder
write(DataOutput) - Method in class org.apache.mahout.cf.taste.hadoop.EntityCountWritable
write(DataOutput) - Method in class org.apache.mahout.cf.taste.hadoop.EntityEntityWritable
write(DataOutput) - Method in class org.apache.mahout.cf.taste.hadoop.EntityPrefWritable
write(DataOutput) - Method in class org.apache.mahout.cf.taste.hadoop.item.PrefAndSimilarityColumnWritable
write(DataOutput) - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorAndPrefsWritable
write(DataOutput) - Method in class org.apache.mahout.cf.taste.hadoop.item.VectorOrPrefWritable
write(DataOutput) - Method in class org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable
write(DataOutput) - Method in class org.apache.mahout.cf.taste.hadoop.similarity.item.CountUsersKeyWritable
write(DataOutput) - Method in class org.apache.mahout.clustering.AbstractCluster
write(DataOutput) - Method in class org.apache.mahout.clustering.ClusterObservations
write(DataOutput) - Method in class org.apache.mahout.clustering.dirichlet.DirichletCluster
write(DataOutput) - Method in class org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalModel
write(DataOutput) - Method in class org.apache.mahout.clustering.dirichlet.models.L1Model
write(DataOutput) - Method in class org.apache.mahout.clustering.dirichlet.models.NormalModel
write(DataOutput) - Method in class org.apache.mahout.clustering.DistanceMeasureCluster
write(DataOutput) - Method in class org.apache.mahout.clustering.kmeans.Cluster
write(DataOutput) - Method in class org.apache.mahout.clustering.meanshift.MeanShiftCanopy
write(DataOutput) - Method in class org.apache.mahout.clustering.spectral.common.IntDoublePairWritable
write(DataOutput) - Method in class org.apache.mahout.clustering.spectral.common.VertexWritable
write(DataOutput) - Method in class org.apache.mahout.clustering.spectral.eigencuts.EigencutsSensitivityNode
write(DataOutput) - Method in class org.apache.mahout.clustering.WeightedVectorWritable
write(DataOutput) - Method in class org.apache.mahout.common.IntegerTuple
write(DataOutput) - Method in class org.apache.mahout.common.IntPairWritable
write(DataOutput) - Method in class org.apache.mahout.common.IntTuple
write(DataOutput) - Method in class org.apache.mahout.common.StringTuple
write(DataOutput) - Method in class org.apache.mahout.df.data.Dataset
write(DataOutput) - Method in class org.apache.mahout.df.DecisionForest
write(DataOutput) - Method in class org.apache.mahout.df.mapreduce.inmem.InMemInputFormat.InMemInputSplit
write(DataOutput) - Method in class org.apache.mahout.df.mapreduce.MapredOutput
write(DataOutput) - Method in class org.apache.mahout.df.mapreduce.partial.Step0Job.Step0Output
write(DataOutput) - Method in class org.apache.mahout.df.node.Node
write(DataOutput) - Method in class org.apache.mahout.fpm.pfpgrowth.convertors.string.TopKStringPatterns
write(DataOutput) - Method in class org.apache.mahout.fpm.pfpgrowth.TransactionTree
write(DataOutput) - Method in class org.apache.mahout.math.DenseMatrixWritable
write(DataOutput) - Method in class org.apache.mahout.math.hadoop.DistributedRowMatrix.MatrixEntryWritable
write(DataOutput) - Method in class org.apache.mahout.math.hadoop.similarity.Cooccurrence
write(DataOutput) - Method in class org.apache.mahout.math.hadoop.similarity.SimilarityMatrixEntryKey
write(DataOutput) - Method in class org.apache.mahout.math.hadoop.similarity.WeightedRowPair
write(DataOutput) - Method in class org.apache.mahout.math.MatrixWritable
write(DataOutput) - Method in class org.apache.mahout.math.MultiLabelVectorWritable
write(DataOutput, SequentialAccessSparseVector, int[]) - Static method in class org.apache.mahout.math.MultiLabelVectorWritable
write(DataOutput) - Method in class org.apache.mahout.math.VarIntWritable
write(DataOutput) - Method in class org.apache.mahout.math.VarLongWritable
write(DataOutput) - Method in class org.apache.mahout.math.VectorWritable
write(DataOutput) - Method in class org.apache.mahout.vectorizer.collocations.llr.Gram
write(DataOutput) - Method in class org.apache.mahout.vectorizer.collocations.llr.GramKey
writeArray(DataOutput, Node[]) - Static method in class org.apache.mahout.df.DFUtils
  Writes an Node[] into a DataOutput
writeArray(DataOutput, double[]) - Static method in class org.apache.mahout.df.DFUtils
  Writes a double[] into a DataOutput
writeArray(DataOutput, int[]) - Static method in class org.apache.mahout.df.DFUtils
  Writes an int[] into a DataOutput
writeJson(String, OnlineLearner) - Static method in class org.apache.mahout.classifier.sgd.ModelSerializer
writeLabelBindings(DataOutput, Map<String, Integer>, Map<String, Integer>) - Static method in class org.apache.mahout.math.MatrixWritable
writeMatrix(DataOutput, Matrix) - Static method in class org.apache.mahout.math.MatrixWritable
  Writes a typed Matrix instance to the output stream
writeModel(DataOutput, Model<?>) - Static method in class org.apache.mahout.clustering.dirichlet.DirichletCluster
  Writes a typed Model instance to the output stream
writeNode(DataOutput) - Method in class org.apache.mahout.df.node.CategoricalNode
writeNode(DataOutput) - Method in class org.apache.mahout.df.node.Leaf
writeNode(DataOutput) - Method in class org.apache.mahout.df.node.Node
writeNode(DataOutput) - Method in class org.apache.mahout.df.node.NumericalNode
writeSignedVarInt(int, DataOutput) - Static method in class org.apache.mahout.math.Varint
writeSignedVarLong(long, DataOutput) - Static method in class org.apache.mahout.math.Varint
  Encodes a value using the variable-length encoding from Google Protocol Buffers.
writeUnsignedVarInt(int, DataOutput) - Static method in class org.apache.mahout.math.Varint
writeUnsignedVarLong(long, DataOutput) - Static method in class org.apache.mahout.math.Varint
  Encodes a value using the variable-length encoding from Google Protocol Buffers.
writeVector(DataOutput, Vector) - Static method in class org.apache.mahout.math.VectorWritable
  Write the vector to the output

## Z

ZScore - Class in org.apache.mahout.cf.taste.impl.transforms
  Normalizes preference values for a user by converting them to "z-scores".
ZScore(DataModel) - Constructor for class org.apache.mahout.cf.taste.impl.transforms.ZScore

A B C D E F G H I J K L M N O P Q R S T U V W Z

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