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

## A

accept(Path) - Method in class org.apache.mahout.clustering.display.ClustersFilter
add(CDFitness) - Method in class org.apache.mahout.ga.watchmaker.cd.CDFitness
apply(List<CDRule>, Random) - Method in class org.apache.mahout.ga.watchmaker.cd.CDMutation
areGenesEqual(CDRule, CDRule, int) - Static method in class org.apache.mahout.ga.watchmaker.cd.CDRule
  Compares a given gene between two rules
areGenesEqual(int, int) - Method in class org.apache.mahout.ga.watchmaker.cd.CDRule
  Compares two genes from this Rule
attributeIndex(int) - Static method in class org.apache.mahout.ga.watchmaker.cd.CDRule
  Makes sure that the label is not handled by any condition.
ATTRIBUTES - Static variable in class org.apache.mahout.ga.watchmaker.cd.tool.ToolMapper

## B

BookCrossingBooleanRecommender - Class in org.apache.mahout.cf.taste.example.bookcrossing
  A simple `Recommender` implemented for the Book Crossing demo.
BookCrossingBooleanRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommender
BookCrossingBooleanRecommenderEvaluatorRunner - Class in org.apache.mahout.cf.taste.example.bookcrossing
BookCrossingDataModel - Class in org.apache.mahout.cf.taste.example.bookcrossing
  See download for data needed by this class.
BookCrossingDataModel(boolean) - Constructor for class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingDataModel
BookCrossingDataModel(File, boolean) - Constructor for class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingDataModel
BookCrossingRecommender - Class in org.apache.mahout.cf.taste.example.bookcrossing
  A simple `Recommender` implemented for the Book Crossing demo.
BookCrossingRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommender
BookCrossingRecommenderEvaluatorRunner - Class in org.apache.mahout.cf.taste.example.bookcrossing
BreimanExample - Class in org.apache.mahout.df
  Test procedure as described in Breiman's paper.
  Leo Breiman: Random Forests.
BreimanExample() - Constructor for class org.apache.mahout.df.BreimanExample
BruteForceTravellingSalesman - Class in org.apache.mahout.ga.watchmaker.travellingsalesman
  Naive brute-force solution to the travelling salesman problem.
BruteForceTravellingSalesman(DistanceLookup) - Constructor for class org.apache.mahout.ga.watchmaker.travellingsalesman.BruteForceTravellingSalesman
BuildForest - Class in org.apache.mahout.df.mapred
  Tool to builds a Random Forest using any given dataset (in UCI format).
BuildForest() - Constructor for class org.apache.mahout.df.mapred.BuildForest
BuildForest - Class in org.apache.mahout.df.mapreduce
  Tool to builds a Random Forest using any given dataset (in UCI format).
BuildForest() - Constructor for class org.apache.mahout.df.mapreduce.BuildForest
buildModel() - Method in class org.apache.mahout.cf.taste.example.jester.JesterDataModel

## C

calculateShortestRoute(Collection<String>, ProgressListener) - Method in class org.apache.mahout.ga.watchmaker.travellingsalesman.BruteForceTravellingSalesman
  To reduce the search space we will only consider routes that start and end at one city (whichever is first in the collection).
calculateShortestRoute(Collection<String>, ProgressListener) - Method in class org.apache.mahout.ga.watchmaker.travellingsalesman.EvolutionaryTravellingSalesman
  Calculates the shortest route using a generational evolutionary algorithm with a single ordered mutation operator and truncation selection.
calculateShortestRoute(Collection<String>, ProgressListener) - Method in interface org.apache.mahout.ga.watchmaker.travellingsalesman.TravellingSalesmanStrategy
  Calculates the shortest round trip distance that visits each of the specified cities once and returns to the starting point.
CDCrossover - Class in org.apache.mahout.ga.watchmaker.cd
  Crossover operator.
CDCrossover(int) - Constructor for class org.apache.mahout.ga.watchmaker.cd.CDCrossover
CDCrossover(int, Probability) - Constructor for class org.apache.mahout.ga.watchmaker.cd.CDCrossover
CDFactory - Class in org.apache.mahout.ga.watchmaker.cd
  Factory used by Watchmaker to generate the initial population.
CDFactory(double) - Constructor for class org.apache.mahout.ga.watchmaker.cd.CDFactory
CDFitness - Class in org.apache.mahout.ga.watchmaker.cd
  Fitness of the class discovery problem.
CDFitness() - Constructor for class org.apache.mahout.ga.watchmaker.cd.CDFitness
CDFitness(CDFitness) - Constructor for class org.apache.mahout.ga.watchmaker.cd.CDFitness
CDFitness(int, int, int, int) - Constructor for class org.apache.mahout.ga.watchmaker.cd.CDFitness
CDFitnessEvaluator - Class in org.apache.mahout.ga.watchmaker.cd
  Class Discovery Fitness Evaluator.
CDFitnessEvaluator(String, int, DatasetSplit) - Constructor for class org.apache.mahout.ga.watchmaker.cd.CDFitnessEvaluator
CDGA - Class in org.apache.mahout.ga.watchmaker.cd
  Class Discovery Genetic Algorithm main class.
CDInfosTool - Class in org.apache.mahout.ga.watchmaker.cd.tool
  Gathers additional information about a given dataset.
CDMahoutEvaluator - Class in org.apache.mahout.ga.watchmaker.cd.hadoop
  Mahout distributed evaluator.
CDMapper - Class in org.apache.mahout.ga.watchmaker.cd.hadoop
  Hadoop Mapper.
CDMapper() - Constructor for class org.apache.mahout.ga.watchmaker.cd.hadoop.CDMapper
CDMutation - Class in org.apache.mahout.ga.watchmaker.cd
  Mutation operator.
CDMutation(double, double, int) - Constructor for class org.apache.mahout.ga.watchmaker.cd.CDMutation
CDReducer - Class in org.apache.mahout.ga.watchmaker.cd.hadoop
  Hadoop Reducer, combines many evaluations (CDFitness) into a single one.
CDReducer() - Constructor for class org.apache.mahout.ga.watchmaker.cd.hadoop.CDReducer
CDRule - Class in org.apache.mahout.ga.watchmaker.cd
  Binary classification rule of the form:
CDRule(double) - Constructor for class org.apache.mahout.ga.watchmaker.cd.CDRule
CDRule(double, Random) - Constructor for class org.apache.mahout.ga.watchmaker.cd.CDRule
  Random rule.
CDRule(CDRule) - Constructor for class org.apache.mahout.ga.watchmaker.cd.CDRule
  Copy Constructor
CLASSDISCOVERY_DATASET - Static variable in class org.apache.mahout.ga.watchmaker.cd.hadoop.CDMapper
CLASSDISCOVERY_RULES - Static variable in class org.apache.mahout.ga.watchmaker.cd.hadoop.CDMapper
CLASSDISCOVERY_TARGET_LABEL - Static variable in class org.apache.mahout.ga.watchmaker.cd.hadoop.CDMapper
classify(DataLine) - Method in class org.apache.mahout.ga.watchmaker.cd.CDRule
  if all the active conditions are met returns 1, else returns 0.
classify(DataLine) - Method in interface org.apache.mahout.ga.watchmaker.cd.Rule
  Classifies the given dataLine
close() - Method in class org.apache.mahout.classifier.bayes.XmlInputFormat.XmlRecordReader
close() - Method in class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit.RndLineRecordReader
CLUSTERS - Static variable in class org.apache.mahout.clustering.display.DisplayClustering
ClustersFilter - Class in org.apache.mahout.clustering.display
ClustersFilter() - Constructor for class org.apache.mahout.clustering.display.ClustersFilter
convertToItemFeatures(String, LastfmDataConverter.Lastfm) - Static method in class org.apache.mahout.clustering.minhash.LastfmDataConverter
  Reads the LastFm dataset and constructs a Map of (item, features).
countLines(FileSystem, Path, Charset) - Static method in class org.apache.mahout.classifier.bayes.SplitBayesInput
  Count the lines in the file specified as returned by `BufferedReader.readLine()`
createInstance(Type) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters.MatrixTypeAdapter
createNominalDescription(Collection<String>) - Static method in class org.apache.mahout.ga.watchmaker.cd.tool.DescriptionUtils
  Create a nominal description from the possible values.
createNumericalDescription(double, double) - Static method in class org.apache.mahout.ga.watchmaker.cd.tool.DescriptionUtils
  Create a numerical attribute description.
createRecordReader(InputSplit, TaskAttemptContext) - Method in class org.apache.mahout.classifier.bayes.XmlInputFormat
createRecordReader(InputSplit, TaskAttemptContext) - Method in class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit.DatasetTextInputFormat
createRegression() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
  Creates a logistic regression trainer using the parameters collected here.

## D

DataLine - Class in org.apache.mahout.ga.watchmaker.cd
  Represents one line of a Dataset.
DataLine() - Constructor for class org.apache.mahout.ga.watchmaker.cd.DataLine
DataLine(String) - Constructor for class org.apache.mahout.ga.watchmaker.cd.DataLine
DataSet - Class in org.apache.mahout.ga.watchmaker.cd
  Contains information about the dataset and its attributes.
DatasetSplit - Class in org.apache.mahout.ga.watchmaker.cd.hadoop
  Separate the input data into a training and testing set.
DatasetSplit(long, double) - Constructor for class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit
DatasetSplit(double) - Constructor for class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit
DatasetSplit(Configuration) - Constructor for class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit
DatasetSplit.DatasetTextInputFormat - Class in org.apache.mahout.ga.watchmaker.cd.hadoop
  `TextInputFormat` that uses a `DatasetSplit.RndLineRecordReader` as a RecordReader
DatasetSplit.DatasetTextInputFormat() - Constructor for class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit.DatasetTextInputFormat
DatasetSplit.RndLineRecordReader - Class in org.apache.mahout.ga.watchmaker.cd.hadoop
  a `RecordReader` that skips some lines from the input.
DatasetSplit.RndLineRecordReader(RecordReader<LongWritable, Text>, Configuration) - Constructor for class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit.RndLineRecordReader
DeliciousTagsExample - Class in org.apache.mahout.fpm.pfpgrowth
DescriptionUtils - Class in org.apache.mahout.ga.watchmaker.cd.tool
  Utility functions to handle Attribute's description strings.
Descriptors - Class in org.apache.mahout.ga.watchmaker.cd.tool
  Used as a configuration Parameters for the mapper-combiner-reducer
  CDTOOL.ATTRIBUTES : char[] description of the attributes.
  for each attribute, takes one of this values:
  N : numerical attribute C : categorical (nominal) attribute L : label (nominal) attribute I : ignored attribute
Descriptors(char[]) - Constructor for class org.apache.mahout.ga.watchmaker.cd.tool.Descriptors
deserialize(JsonElement, Type, JsonDeserializationContext) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters.MatrixTypeAdapter
DisplayClustering - Class in org.apache.mahout.clustering.display
DisplayClustering() - Constructor for class org.apache.mahout.clustering.display.DisplayClustering
DisplayDirichlet - Class in org.apache.mahout.clustering.display
DisplayDirichlet() - Constructor for class org.apache.mahout.clustering.display.DisplayDirichlet
DistanceLookup - Interface in org.apache.mahout.ga.watchmaker.travellingsalesman
  Strategy interface for providing distances between cities in the Travelling Salesman problem.
DS - Static variable in class org.apache.mahout.clustering.display.DisplayClustering

## E

END_TAG_KEY - Static variable in class org.apache.mahout.classifier.bayes.XmlInputFormat
equals(Object) - Method in class org.apache.mahout.ga.watchmaker.cd.CDFitness
equals(Object) - Method in class org.apache.mahout.ga.watchmaker.cd.CDRule
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommender
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommender
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.grouplens.GroupLensRecommender
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.jester.JesterRecommender
estimatePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixRecommender
EuropeanDistanceLookup - Class in org.apache.mahout.ga.watchmaker.travellingsalesman
  This class contains data about cities in Europe and the distances between them.
EuropeanDistanceLookup() - Constructor for class org.apache.mahout.ga.watchmaker.travellingsalesman.EuropeanDistanceLookup
evaluate(List<? extends Rule>, List<Double>) - Method in class org.apache.mahout.ga.watchmaker.cd.CDFitnessEvaluator
evaluate(List<? extends Rule>, int, Path, Path, Collection<CDFitness>, DatasetSplit) - Static method in class org.apache.mahout.ga.watchmaker.cd.hadoop.CDMahoutEvaluator
  Uses Mahout to evaluate the classification rules using the given evaluator.
evaluate(Rule, int, Path, Path, DatasetSplit) - Static method in class org.apache.mahout.ga.watchmaker.cd.hadoop.CDMahoutEvaluator
  Evaluate a single rule.
evaluate(List<? extends Rule>, int, Path, Path, Collection<CDFitness>) - Static method in class org.apache.mahout.ga.watchmaker.cd.hadoop.CDMahoutEvaluator
  Use all the dataset for training.
evaluate(int, int, int) - Static method in class org.apache.mahout.ga.watchmaker.cd.hadoop.CDMapper
  Evaluate a given prediction.
EvolutionaryTravellingSalesman - Class in org.apache.mahout.ga.watchmaker.travellingsalesman
  Evolutionary algorithm for finding (approximate) solutions to the travelling salesman problem.
EvolutionaryTravellingSalesman(DistanceLookup, SelectionStrategy<? super List<String>>, int, int, int, boolean, boolean, boolean) - Constructor for class org.apache.mahout.ga.watchmaker.travellingsalesman.EvolutionaryTravellingSalesman
  Creates an evolutionary Travelling Salesman solver with the specified configuration.
extractNominalValues(String, Collection<String>) - Static method in class org.apache.mahout.ga.watchmaker.cd.tool.DescriptionUtils
  Extract all available values from the description.
extractNumericalRange(String) - Static method in class org.apache.mahout.ga.watchmaker.cd.tool.DescriptionUtils

## F

FileInfoParser - Class in org.apache.mahout.ga.watchmaker.cd
  Initializes a DataSet using a special format file.
  The file contains for each attribute one of the following:
  `IGNORED`
  if the attribute is ignored `LABEL, val1, val2, ...`
  if the attribute is the label, and its possible values `CATEGORICAL, val1, val2, ...`
  if the attribute is nominal, and its possible values `NUMERICAL, min, max`
  if the attribute is numerical, and its min and max values

## G

gatherInfos(Descriptors, Path, Path, Collection<String>) - Static method in class org.apache.mahout.ga.watchmaker.cd.tool.CDInfosTool
  Uses Mahout to gather the information about a dataset.
generate2dSamples() - Static method in class org.apache.mahout.clustering.display.DisplayClustering
generate2dSamples(int, double, double, double, double) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
  Generate random samples and add them to the sampleData
generateFileNameForKeyValue(Text, Text, String) - Method in class org.apache.mahout.classifier.bayes.WikipediaDatasetCreatorOutputFormat
generateRandomCandidate(Random) - Method in class org.apache.mahout.ga.watchmaker.cd.CDFactory
generateResults(ModelDistribution<VectorWritable>, int, int, double, int, int) - Static method in class org.apache.mahout.clustering.display.DisplayDirichlet
generateSamples() - Static method in class org.apache.mahout.clustering.display.DisplayClustering
generateSamples(int, double, double, double) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
  Generate random samples and add them to the sampleData
get() - Method in class org.apache.mahout.ga.watchmaker.cd.CDFitness
  Calculates the fitness corresponding to this evaluation.
getAttribute(int) - Method in class org.apache.mahout.ga.watchmaker.cd.DataLine
getCallback() - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
getChars() - Method in class org.apache.mahout.ga.watchmaker.cd.tool.Descriptors
getCharset() - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
getCsvRecordFactory() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
  Returns a CsvRecordFactory compatible with this logistic model.
getCurrentKey() - Method in class org.apache.mahout.classifier.bayes.XmlInputFormat.XmlRecordReader
getCurrentKey() - Method in class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit.RndLineRecordReader
getCurrentValue() - Method in class org.apache.mahout.classifier.bayes.XmlInputFormat.XmlRecordReader
getCurrentValue() - Method in class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit.RndLineRecordReader
getDataModel() - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommender
getDataModel() - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommender
getDataModel() - Method in class org.apache.mahout.cf.taste.example.grouplens.GroupLensRecommender
getDataModel() - Method in class org.apache.mahout.cf.taste.example.jester.JesterRecommender
getDataModel() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixRecommender
getDataSet() - Static method in class org.apache.mahout.ga.watchmaker.cd.DataSet
  Singleton DataSet
getDescription() - Method in class org.apache.mahout.ga.watchmaker.travellingsalesman.BruteForceTravellingSalesman
getDescription() - Method in class org.apache.mahout.ga.watchmaker.travellingsalesman.EvolutionaryTravellingSalesman
getDescription() - Method in interface org.apache.mahout.ga.watchmaker.travellingsalesman.TravellingSalesmanStrategy
getDistance(String, String) - Method in interface org.apache.mahout.ga.watchmaker.travellingsalesman.DistanceLookup
  Looks-up the distance between two cities.
getDistance(String, String) - Method in class org.apache.mahout.ga.watchmaker.travellingsalesman.EuropeanDistanceLookup
getFitness(List<String>, List<? extends List<String>>) - Method in class org.apache.mahout.ga.watchmaker.travellingsalesman.RouteEvaluator
  Calculates the length of an evolved route.
getFn() - Method in class org.apache.mahout.ga.watchmaker.cd.CDFitness
getFp() - Method in class org.apache.mahout.ga.watchmaker.cd.CDFitness
getIgnoredAttributes() - Method in class org.apache.mahout.ga.watchmaker.cd.DataSet
getInfoFile(FileSystem, Path) - Static method in class org.apache.mahout.ga.watchmaker.cd.FileInfoParser
  Prepares the path for the info file corresponding to the input path.
getInputDirectory() - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
getItemIDs() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
getItemIDs() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
getItemIDsFromUser(long) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
getKnownCities() - Method in interface org.apache.mahout.ga.watchmaker.travellingsalesman.DistanceLookup
getKnownCities() - Method in class org.apache.mahout.ga.watchmaker.travellingsalesman.EuropeanDistanceLookup
getLabel() - Method in class org.apache.mahout.ga.watchmaker.cd.DataLine
getLabelIndex() - Method in class org.apache.mahout.ga.watchmaker.cd.DataSet
getLambda() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
getLearningRate() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
getMax(int) - Method in class org.apache.mahout.ga.watchmaker.cd.DataSet
  Maximum possible value for an attribute
getMaxPreference() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
getMaxPreference() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
getMaxTargetCategories() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
getMin(int) - Method in class org.apache.mahout.ga.watchmaker.cd.DataSet
  Minimum possible value for an attribute
getMinPreference() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
getMinPreference() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
getModel() - Static method in class org.apache.mahout.classifier.sgd.TrainLogistic
getNbAttributes() - Method in class org.apache.mahout.ga.watchmaker.cd.DataSet
getNbConditions() - Method in class org.apache.mahout.ga.watchmaker.cd.CDRule
getNbValues(int) - Method in class org.apache.mahout.ga.watchmaker.cd.DataSet
  Number of values for a nominal attribute
getNumFeatures() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
getNumItems() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
getNumItems() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
getNumUsers() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
getNumUsers() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
getNumUsersWithPreferenceFor(long...) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
getNumUsersWithPreferenceFor(long...) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
getO(int) - Method in class org.apache.mahout.ga.watchmaker.cd.CDRule
  operator
getParameters() - Static method in class org.apache.mahout.classifier.sgd.TrainLogistic
getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
getPreferencesForItem(long) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
getPreferencesFromUser(long) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
getPreferenceTime(long, long) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
getPreferenceTime(long, long) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
getPreferenceValue(long, long) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
getProgress() - Method in class org.apache.mahout.classifier.bayes.XmlInputFormat.XmlRecordReader
getProgress() - Method in class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit.RndLineRecordReader
getRatings(String[]) - Static method in class org.apache.mahout.cf.taste.example.TasteOptionParser
  Parse the given command line arguments.
getSeed() - Method in class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit
getSplitLocation() - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
getTargetVariable() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
getTestOutputDirectory() - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
getTestRandomSelectionPct() - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
getTestRandomSelectionSize() - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
getTestSplitPct() - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
getTestSplitSize() - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
getThreshold() - Method in class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit
getTn() - Method in class org.apache.mahout.ga.watchmaker.cd.CDFitness
getTp() - Method in class org.apache.mahout.ga.watchmaker.cd.CDFitness
getTrainingOutputDirectory() - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
getTypeMap() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
getUserIDs() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
getUserIDs() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
getV(int) - Method in class org.apache.mahout.ga.watchmaker.cd.CDRule
getW(int) - Method in class org.apache.mahout.ga.watchmaker.cd.CDRule
GroupLensDataModel - Class in org.apache.mahout.cf.taste.example.grouplens
GroupLensDataModel() - Constructor for class org.apache.mahout.cf.taste.example.grouplens.GroupLensDataModel
GroupLensDataModel(File) - Constructor for class org.apache.mahout.cf.taste.example.grouplens.GroupLensDataModel
GroupLensRecommender - Class in org.apache.mahout.cf.taste.example.grouplens
  A simple `Recommender` implemented for the GroupLens demo.
GroupLensRecommender() - Constructor for class org.apache.mahout.cf.taste.example.grouplens.GroupLensRecommender
GroupLensRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.example.grouplens.GroupLensRecommender
  Alternate constructor that takes a `DataModel` argument, which allows this `Recommender` to be used with the `RecommenderEvaluator` framework.
GroupLensRecommenderEvaluatorRunner - Class in org.apache.mahout.cf.taste.example.grouplens
  A simple example "runner" class which will evaluate the performance of the current implementation of `GroupLensRecommender`.

## H

hashCode() - Method in class org.apache.mahout.ga.watchmaker.cd.CDFitness
hashCode() - Method in class org.apache.mahout.ga.watchmaker.cd.CDRule
hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
hasPreferenceValues() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel

## I

IGNORED_TOKEN - Static variable in class org.apache.mahout.ga.watchmaker.cd.FileInfoParser
initialize(InputSplit, TaskAttemptContext) - Method in class org.apache.mahout.classifier.bayes.XmlInputFormat.XmlRecordReader
initialize() - Method in class org.apache.mahout.clustering.display.DisplayClustering
initialize(DataSet) - Static method in class org.apache.mahout.ga.watchmaker.cd.DataSet
  Initializes the singleton dataset
initialize(InputSplit, TaskAttemptContext) - Method in class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit.RndLineRecordReader
initializeDataSet(Path) - Static method in class org.apache.mahout.ga.watchmaker.cd.hadoop.CDMahoutEvaluator
  Initializes the dataset
isIgnored(int) - Method in class org.apache.mahout.ga.watchmaker.cd.tool.Descriptors
isLabel(int) - Method in class org.apache.mahout.ga.watchmaker.cd.tool.Descriptors
isNatural() - Method in class org.apache.mahout.ga.watchmaker.cd.CDFitnessEvaluator
isNatural() - Method in class org.apache.mahout.ga.watchmaker.travellingsalesman.RouteEvaluator
  Returns false since shorter distances represent fitter candidates.
isNominal(int) - Method in class org.apache.mahout.ga.watchmaker.cd.tool.Descriptors
isNumerical(int) - Method in class org.apache.mahout.ga.watchmaker.cd.DataSet
  Is the attribute numerical or nominal ?
isNumerical(int) - Method in class org.apache.mahout.ga.watchmaker.cd.tool.Descriptors
isSignificant(Cluster) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
isTraining() - Method in class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit

## J

JesterDataModel - Class in org.apache.mahout.cf.taste.example.jester
JesterDataModel() - Constructor for class org.apache.mahout.cf.taste.example.jester.JesterDataModel
JesterDataModel(File) - Constructor for class org.apache.mahout.cf.taste.example.jester.JesterDataModel
JesterRecommender - Class in org.apache.mahout.cf.taste.example.jester
  A simple `Recommender` implemented for the Book Crossing demo.
JesterRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.example.jester.JesterRecommender
JesterRecommenderEvaluatorRunner - Class in org.apache.mahout.cf.taste.example.jester
Job - Class in org.apache.mahout.clustering.syntheticcontrol.canopy
Job - Class in org.apache.mahout.clustering.syntheticcontrol.dirichlet
Job - Class in org.apache.mahout.clustering.syntheticcontrol.fuzzykmeans
Job - Class in org.apache.mahout.clustering.syntheticcontrol.kmeans
Job - Class in org.apache.mahout.clustering.syntheticcontrol.meanshift

## K

KeyBasedStringTupleCombiner - Class in org.apache.mahout.fpm.pfpgrowth.dataset
KeyBasedStringTupleCombiner() - Constructor for class org.apache.mahout.fpm.pfpgrowth.dataset.KeyBasedStringTupleCombiner
KeyBasedStringTupleGrouper - Class in org.apache.mahout.fpm.pfpgrowth.dataset
KeyBasedStringTupleMapper - Class in org.apache.mahout.fpm.pfpgrowth.dataset
  Splits the line using a `Pattern` and outputs key as given by the groupingFields
KeyBasedStringTupleMapper() - Constructor for class org.apache.mahout.fpm.pfpgrowth.dataset.KeyBasedStringTupleMapper
KeyBasedStringTupleReducer - Class in org.apache.mahout.fpm.pfpgrowth.dataset
KeyBasedStringTupleReducer() - Constructor for class org.apache.mahout.fpm.pfpgrowth.dataset.KeyBasedStringTupleReducer

## L

LABEL_TOKEN - Static variable in class org.apache.mahout.ga.watchmaker.cd.FileInfoParser
LastfmClusterEvaluator - Class in org.apache.mahout.clustering.minhash
LastfmDataConverter - Class in org.apache.mahout.clustering.minhash
loadClusters(Path) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
loadData(Configuration, Path, Dataset) - Static method in class org.apache.mahout.df.mapred.BuildForest
loadData(Configuration, Path, Dataset) - Static method in class org.apache.mahout.df.mapreduce.BuildForest
loadFrom(Reader) - Static method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
  Reads a model in JSON format.
loadFrom(File) - Static method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
  Reads a model in JSON format from a File.
LogisticModelParameters - Class in org.apache.mahout.classifier.sgd
  Encapsulates everything we need to know about a model and how it reads and vectorizes its input.
LogisticModelParameters() - Constructor for class org.apache.mahout.classifier.sgd.LogisticModelParameters
LogisticModelParameters.MatrixTypeAdapter - Class in org.apache.mahout.classifier.sgd
  Tells GSON how to (de)serialize a Mahout matrix.
LogisticModelParameters.MatrixTypeAdapter() - Constructor for class org.apache.mahout.classifier.sgd.LogisticModelParameters.MatrixTypeAdapter

## M

main(String...) - Static method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommenderEvaluatorRunner
main(String...) - Static method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommenderEvaluatorRunner
main(String...) - Static method in class org.apache.mahout.cf.taste.example.grouplens.GroupLensRecommenderEvaluatorRunner
main(String...) - Static method in class org.apache.mahout.cf.taste.example.jester.JesterRecommenderEvaluatorRunner
main(String...) - Static method in class org.apache.mahout.cf.taste.example.netflix.NetflixRecommenderEvaluatorRunner
main(String[]) - Static method in class org.apache.mahout.cf.taste.example.netflix.TransposeToByUser
main(String[]) - Static method in class org.apache.mahout.classifier.bayes.PrepareTwentyNewsgroups
main(String[]) - Static method in class org.apache.mahout.classifier.bayes.SplitBayesInput
main(String[]) - Static method in class org.apache.mahout.classifier.bayes.WikipediaDatasetCreatorDriver
  Takes in two arguments: The input `Path` where the input documents live The output `Path` where to write the classifier as a `SequenceFile`
main(String[]) - Static method in class org.apache.mahout.classifier.bayes.WikipediaXmlSplitter
main(String[]) - Static method in class org.apache.mahout.classifier.sequencelearning.hmm.PosTagger
main(String[]) - Static method in class org.apache.mahout.classifier.sgd.PrintResourceOrFile
main(String[]) - Static method in class org.apache.mahout.classifier.sgd.RunLogistic
main(String[]) - Static method in class org.apache.mahout.classifier.sgd.TrainLogistic
main(String[]) - Static method in class org.apache.mahout.classifier.sgd.TrainNewsGroups
main(String[]) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
main(String[]) - Static method in class org.apache.mahout.clustering.display.DisplayDirichlet
main(String[]) - Static method in class org.apache.mahout.clustering.minhash.LastfmClusterEvaluator
main(String[]) - Static method in class org.apache.mahout.clustering.minhash.LastfmDataConverter
main(String[]) - Static method in class org.apache.mahout.clustering.syntheticcontrol.canopy.Job
main(String[]) - Static method in class org.apache.mahout.clustering.syntheticcontrol.dirichlet.Job
main(String[]) - Static method in class org.apache.mahout.clustering.syntheticcontrol.fuzzykmeans.Job
main(String[]) - Static method in class org.apache.mahout.clustering.syntheticcontrol.kmeans.Job
main(String[]) - Static method in class org.apache.mahout.clustering.syntheticcontrol.meanshift.Job
main(String[]) - Static method in class org.apache.mahout.df.BreimanExample
main(String[]) - Static method in class org.apache.mahout.df.mapred.BuildForest
main(String[]) - Static method in class org.apache.mahout.df.mapreduce.BuildForest
main(String[]) - Static method in class org.apache.mahout.df.mapreduce.TestForest
main(String[]) - Static method in class org.apache.mahout.fpm.pfpgrowth.DeliciousTagsExample
main(String[]) - Static method in class org.apache.mahout.ga.watchmaker.cd.CDGA
main(String[]) - Static method in class org.apache.mahout.ga.watchmaker.cd.tool.CDInfosTool
main(String[]) - Static method in class org.apache.mahout.ga.watchmaker.travellingsalesman.TravellingSalesman
main(String[]) - Static method in class org.apache.mahout.text.WikipediaToSequenceFile
  Takes in two arguments: The input `Path` where the input documents live The output `Path` where to write the classifier as a `SequenceFile`
map(LongWritable, Text, Mapper<LongWritable, Text, Text, Text>.Context) - Method in class org.apache.mahout.classifier.bayes.WikipediaDatasetCreatorMapper
map(LongWritable, Text, Mapper<LongWritable, Text, Text, StringTuple>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.dataset.KeyBasedStringTupleMapper
map(LongWritable, Text, Mapper<LongWritable, Text, LongWritable, CDFitness>.Context) - Method in class org.apache.mahout.ga.watchmaker.cd.hadoop.CDMapper
map(LongWritable, Text, Mapper<LongWritable, Text, LongWritable, Text>.Context) - Method in class org.apache.mahout.ga.watchmaker.cd.tool.ToolMapper
map(LongWritable, Text, Mapper<LongWritable, Text, Text, Text>.Context) - Method in class org.apache.mahout.text.WikipediaMapper
mate(CDRule, CDRule, int, Random) - Method in class org.apache.mahout.ga.watchmaker.cd.CDCrossover
mutate(CDRule, Random) - Method in class org.apache.mahout.ga.watchmaker.cd.CDMutation

## N

NetflixDataModel - Class in org.apache.mahout.cf.taste.example.netflix
  This is a `DataModel` that reads the Netflix data set, as represented in its unpacked file structure.
NetflixDataModel(File, boolean) - Constructor for class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
NetflixFileDataModel - Class in org.apache.mahout.cf.taste.example.netflix
NetflixFileDataModel(File) - Constructor for class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
NetflixRecommender - Class in org.apache.mahout.cf.taste.example.netflix
NetflixRecommender(DataModel) - Constructor for class org.apache.mahout.cf.taste.example.netflix.NetflixRecommender
NetflixRecommenderEvaluatorRunner - Class in org.apache.mahout.cf.taste.example.netflix
nextKeyValue() - Method in class org.apache.mahout.classifier.bayes.XmlInputFormat.XmlRecordReader
nextKeyValue() - Method in class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit.RndLineRecordReader
NOMINAL_TOKEN - Static variable in class org.apache.mahout.ga.watchmaker.cd.FileInfoParser
NUMERICAL_TOKEN - Static variable in class org.apache.mahout.ga.watchmaker.cd.FileInfoParser

## O

org.apache.mahout.analysis - package org.apache.mahout.analysis
org.apache.mahout.cf.taste.example - package org.apache.mahout.cf.taste.example
org.apache.mahout.cf.taste.example.bookcrossing - package org.apache.mahout.cf.taste.example.bookcrossing
org.apache.mahout.cf.taste.example.grouplens - package org.apache.mahout.cf.taste.example.grouplens
org.apache.mahout.cf.taste.example.jester - package org.apache.mahout.cf.taste.example.jester
org.apache.mahout.cf.taste.example.netflix - package org.apache.mahout.cf.taste.example.netflix
org.apache.mahout.classifier.bayes - package org.apache.mahout.classifier.bayes
  The Bayes example package provides some helper classes for training the Naive Bayes classifier on the Twenty Newsgroups data.
org.apache.mahout.classifier.sequencelearning.hmm - package org.apache.mahout.classifier.sequencelearning.hmm
org.apache.mahout.classifier.sgd - package org.apache.mahout.classifier.sgd
org.apache.mahout.clustering.display - package org.apache.mahout.clustering.display
org.apache.mahout.clustering.minhash - package org.apache.mahout.clustering.minhash
org.apache.mahout.clustering.syntheticcontrol.canopy - package org.apache.mahout.clustering.syntheticcontrol.canopy
org.apache.mahout.clustering.syntheticcontrol.dirichlet - package org.apache.mahout.clustering.syntheticcontrol.dirichlet
org.apache.mahout.clustering.syntheticcontrol.fuzzykmeans - package org.apache.mahout.clustering.syntheticcontrol.fuzzykmeans
org.apache.mahout.clustering.syntheticcontrol.kmeans - package org.apache.mahout.clustering.syntheticcontrol.kmeans
org.apache.mahout.clustering.syntheticcontrol.meanshift - package org.apache.mahout.clustering.syntheticcontrol.meanshift
org.apache.mahout.df - package org.apache.mahout.df
org.apache.mahout.df.mapred - package org.apache.mahout.df.mapred
org.apache.mahout.df.mapreduce - package org.apache.mahout.df.mapreduce
org.apache.mahout.fpm.pfpgrowth - package org.apache.mahout.fpm.pfpgrowth
org.apache.mahout.fpm.pfpgrowth.dataset - package org.apache.mahout.fpm.pfpgrowth.dataset
org.apache.mahout.ga.watchmaker.cd - package org.apache.mahout.ga.watchmaker.cd
org.apache.mahout.ga.watchmaker.cd.hadoop - package org.apache.mahout.ga.watchmaker.cd.hadoop
org.apache.mahout.ga.watchmaker.cd.tool - package org.apache.mahout.ga.watchmaker.cd.tool
org.apache.mahout.ga.watchmaker.travellingsalesman - package org.apache.mahout.ga.watchmaker.travellingsalesman
org.apache.mahout.text - package org.apache.mahout.text

## P

paint(Graphics) - Method in class org.apache.mahout.clustering.display.DisplayClustering
paint(Graphics) - Method in class org.apache.mahout.clustering.display.DisplayDirichlet
parseArgs(String[]) - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
  Configure this instance based on the command-line arguments contained within provided array.
parseFile(FileSystem, Path) - Static method in class org.apache.mahout.ga.watchmaker.cd.FileInfoParser
  Initializes a dataset using an info file.
plotClusters(Graphics2D) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
plotEllipse(Graphics2D, Vector, Vector) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
  Draw an ellipse on the graphics context
plotRectangle(Graphics2D, Vector, Vector) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
  Draw a rectangle on the graphics context
plotSampleData(Graphics2D) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
plotSampleParameters(Graphics2D) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
PosTagger - Class in org.apache.mahout.classifier.sequencelearning.hmm
  This class implements a sample program that uses a pre-tagged training data set to train an HMM model as a POS tagger.
PrepareTwentyNewsgroups - Class in org.apache.mahout.classifier.bayes
  Prepare the 20 Newsgroups files for training using the `BayesFileFormatter`.
printModels(Iterable<Cluster[]>, int) - Static method in class org.apache.mahout.clustering.display.DisplayDirichlet
PrintResourceOrFile - Class in org.apache.mahout.classifier.sgd
  Uses the same logic as TrainLogistic and RunLogistic for finding an input, but instead of processing the input, this class just prints the input to standard out.
printResults(String, ModelDistribution<VectorWritable>, int, int, double) - Static method in class org.apache.mahout.clustering.syntheticcontrol.dirichlet.Job
  Prints out all of the clusters for each iteration
processLine(String, FastByIDMap<?>, FastByIDMap<FastByIDMap<Long>>, boolean) - Method in class org.apache.mahout.cf.taste.example.jester.JesterDataModel
ProgressListener - Interface in org.apache.mahout.ga.watchmaker.travellingsalesman
  Call-back interface for keeping track of the progress of a `TravellingSalesmanStrategy` implementation.

## R

readClusters(Path) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
readFields(DataInput) - Method in class org.apache.mahout.ga.watchmaker.cd.CDFitness
readResourceToTempFile(String) - Static method in class org.apache.mahout.cf.taste.example.grouplens.GroupLensDataModel
recommend(long, int) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommender
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommender
recommend(long, int) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommender
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommender
recommend(long, int) - Method in class org.apache.mahout.cf.taste.example.grouplens.GroupLensRecommender
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.example.grouplens.GroupLensRecommender
recommend(long, int) - Method in class org.apache.mahout.cf.taste.example.jester.JesterRecommender
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.example.jester.JesterRecommender
recommend(long, int) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixRecommender
recommend(long, int, IDRescorer) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixRecommender
reduce(Text, Iterable<Text>, Reducer<Text, Text, Text, Text>.Context) - Method in class org.apache.mahout.classifier.bayes.WikipediaDatasetCreatorReducer
reduce(Text, Iterable<StringTuple>, Reducer<Text, StringTuple, Text, StringTuple>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.dataset.KeyBasedStringTupleCombiner
reduce(Text, Iterable<StringTuple>, Reducer<Text, StringTuple, Text, Text>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.dataset.KeyBasedStringTupleReducer
reduce(LongWritable, Iterable<CDFitness>, Reducer<LongWritable, CDFitness, LongWritable, CDFitness>.Context) - Method in class org.apache.mahout.ga.watchmaker.cd.hadoop.CDReducer
reduce(LongWritable, Iterable<Text>, Reducer<LongWritable, Text, LongWritable, Text>.Context) - Method in class org.apache.mahout.ga.watchmaker.cd.tool.ToolCombiner
reduce(LongWritable, Iterable<Text>, Reducer<LongWritable, Text, LongWritable, Text>.Context) - Method in class org.apache.mahout.ga.watchmaker.cd.tool.ToolReducer
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommender
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommender
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.example.grouplens.GroupLensRecommender
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.example.jester.JesterRecommender
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
refresh(Collection<Refreshable>) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixRecommender
reload() - Method in class org.apache.mahout.cf.taste.example.jester.JesterDataModel
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommender
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommender
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.grouplens.GroupLensRecommender
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.jester.JesterRecommender
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
removePreference(long, long) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixRecommender
res - Static variable in class org.apache.mahout.clustering.display.DisplayClustering
RouteEvaluator - Class in org.apache.mahout.ga.watchmaker.travellingsalesman
  Fitness evalator that measures the total distance of a route in the travelling salesman problem.
RouteEvaluator(DistanceLookup) - Constructor for class org.apache.mahout.ga.watchmaker.travellingsalesman.RouteEvaluator
Rule - Interface in org.apache.mahout.ga.watchmaker.cd
  Classification rule.
run(String[]) - Method in class org.apache.mahout.clustering.syntheticcontrol.canopy.Job
run(String[]) - Method in class org.apache.mahout.clustering.syntheticcontrol.dirichlet.Job
run(Path, Path, ModelDistribution<VectorWritable>, int, int, double, boolean, double) - Method in class org.apache.mahout.clustering.syntheticcontrol.dirichlet.Job
  Run the job using supplied arguments, deleting the output directory if it exists beforehand
run(String[]) - Method in class org.apache.mahout.clustering.syntheticcontrol.fuzzykmeans.Job
run(Configuration, Path, Path, DistanceMeasure, double, double, int, float, double) - Method in class org.apache.mahout.clustering.syntheticcontrol.fuzzykmeans.Job
  Run the kmeans clustering job on an input dataset using the given distance measure, t1, t2 and iteration parameters.
run(String[]) - Method in class org.apache.mahout.clustering.syntheticcontrol.kmeans.Job
run(Configuration, Path, Path, DistanceMeasure, double, double, double, int) - Method in class org.apache.mahout.clustering.syntheticcontrol.kmeans.Job
  Run the kmeans clustering job on an input dataset using the given distance measure, t1, t2 and iteration parameters.
run(String[]) - Method in class org.apache.mahout.clustering.syntheticcontrol.meanshift.Job
run(Configuration, Path, Path, DistanceMeasure, double, double, double, int) - Method in class org.apache.mahout.clustering.syntheticcontrol.meanshift.Job
  Run the meanshift clustering job on an input dataset using the given distance measure, t1, t2 and iteration parameters.
run(String[]) - Method in class org.apache.mahout.df.BreimanExample
run(String[]) - Method in class org.apache.mahout.df.mapred.BuildForest
run(String[]) - Method in class org.apache.mahout.df.mapreduce.BuildForest
run(String[]) - Method in class org.apache.mahout.df.mapreduce.TestForest
runJob(String, String, String, boolean, Class<? extends Analyzer>) - Static method in class org.apache.mahout.classifier.bayes.WikipediaDatasetCreatorDriver
  Run the job
runJob(String, String, String, boolean, boolean) - Static method in class org.apache.mahout.text.WikipediaToSequenceFile
  Run the job
RunLogistic - Class in org.apache.mahout.classifier.sgd

## S

SAMPLE_DATA - Static variable in class org.apache.mahout.clustering.display.DisplayClustering
saveModel(Writer, OnlineLogisticRegression, List<String>) - Static method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
saveTo(Writer) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
  Saves a model in JSON format.
serialize(Matrix, Type, JsonSerializationContext) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters.MatrixTypeAdapter
set(String) - Method in class org.apache.mahout.ga.watchmaker.cd.DataLine
setCallback(SplitBayesInput.SplitCallback) - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
  Sets the callback used to inform the caller that an input file has been successfully split
setCharset(Charset) - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
  Set the charset used to read and write files
setEnabled(boolean) - Method in class org.apache.mahout.ga.watchmaker.travellingsalesman.TravellingSalesman
  Toggles whether the controls are enabled for input or not.
setInputDirectory(Path) - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
  Set the directory from which input data will be read when the the `SplitBayesInput.splitDirectory()` method is invoked
setLambda(double) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
setLearningRate(double) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
setMaxTargetCategories(int) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
  Sets the number of target categories to be considered.
setNumFeatures(int) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
setO(int, boolean) - Method in class org.apache.mahout.ga.watchmaker.cd.CDRule
  set the operator
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommender
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommender
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.example.grouplens.GroupLensRecommender
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.example.jester.JesterRecommender
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
setPreference(long, long, float) - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixRecommender
setSplitLocation(int) - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
  Set the location of the start of the test/training data split.
setTargetCategories(List<String>) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
setTargetVariable(String) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
  Sets the target variable.
setTestOutputDirectory(Path) - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
  Set the directory to which test data will be written.
setTestRandomSelectionPct(int) - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
  Sets number of random input samples that will be saved to the test set as a percentage of the size of the input set.
setTestRandomSelectionSize(int) - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
  Sets number of random input samples that will be saved to the test set.
setTestSplitPct(int) - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
  Sets the percentage of the input data to allocate to the test split
setTestSplitSize(int) - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
setTraining(boolean) - Method in class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit
setTrainingOutputDirectory(Path) - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
  Set the directory to which training data will be written.
setTypeMap(Iterable<String>, List<String>) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
  Sets the types of the predictors.
setup(Mapper<LongWritable, Text, Text, Text>.Context) - Method in class org.apache.mahout.classifier.bayes.WikipediaDatasetCreatorMapper
setup(Mapper<LongWritable, Text, Text, StringTuple>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.dataset.KeyBasedStringTupleMapper
setup(Reducer<Text, StringTuple, Text, Text>.Context) - Method in class org.apache.mahout.fpm.pfpgrowth.dataset.KeyBasedStringTupleReducer
setup(Mapper<LongWritable, Text, LongWritable, CDFitness>.Context) - Method in class org.apache.mahout.ga.watchmaker.cd.hadoop.CDMapper
setup(Reducer<LongWritable, Text, LongWritable, Text>.Context) - Method in class org.apache.mahout.ga.watchmaker.cd.tool.ToolCombiner
setup(Mapper<LongWritable, Text, LongWritable, Text>.Context) - Method in class org.apache.mahout.ga.watchmaker.cd.tool.ToolMapper
setup(Reducer<LongWritable, Text, LongWritable, Text>.Context) - Method in class org.apache.mahout.ga.watchmaker.cd.tool.ToolReducer
setup(Mapper<LongWritable, Text, Text, Text>.Context) - Method in class org.apache.mahout.text.WikipediaMapper
setUseBias(boolean) - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters
setV(int, double) - Method in class org.apache.mahout.ga.watchmaker.cd.CDRule
setW(int, double) - Method in class org.apache.mahout.ga.watchmaker.cd.CDRule
SIZE - Static variable in class org.apache.mahout.clustering.display.DisplayClustering
size() - Method in class org.apache.mahout.ga.watchmaker.cd.tool.Descriptors
SplitBayesInput - Class in org.apache.mahout.classifier.bayes
  A utility for splitting files in the input format used by the Bayes classifiers into training and test sets in order to perform cross-validation.
SplitBayesInput() - Constructor for class org.apache.mahout.classifier.bayes.SplitBayesInput
SplitBayesInput.SplitCallback - Interface in org.apache.mahout.classifier.bayes
  Used to pass information back to a caller once a file has been split without the need for a data object
splitComplete(Path, int, int, int, int) - Method in interface org.apache.mahout.classifier.bayes.SplitBayesInput.SplitCallback
splitDirectory() - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
  Perform a split on directory specified by `SplitBayesInput.setInputDirectory(Path)` by calling `SplitBayesInput.splitFile(Path)` on each file found within that directory.
splitDirectory(Path) - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
  Perform a split on the specified directory by calling `SplitBayesInput.splitFile(Path)` on each file found within that directory.
splitFile(Path) - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
  Perform a split on the specified input file.
START_TAG_KEY - Static variable in class org.apache.mahout.classifier.bayes.XmlInputFormat
startJob(Parameters) - Static method in class org.apache.mahout.fpm.pfpgrowth.dataset.KeyBasedStringTupleGrouper
storeJobParameters(Configuration) - Method in class org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit

## T

T1 - Static variable in class org.apache.mahout.clustering.display.DisplayClustering
T2 - Static variable in class org.apache.mahout.clustering.display.DisplayClustering
TasteOptionParser - Class in org.apache.mahout.cf.taste.example
  This class provides a common implementation for parsing input parameters for all taste examples.
TestForest - Class in org.apache.mahout.df.mapreduce
  Tool to classify a Dataset using a previously built Decision Forest
TestForest() - Constructor for class org.apache.mahout.df.mapreduce.TestForest
tokenStream(String, Reader) - Method in class org.apache.mahout.analysis.WikipediaAnalyzer
ToolCombiner - Class in org.apache.mahout.ga.watchmaker.cd.tool
  Combines attribute values into a String.
  For Numerical attributes, the string contains the min and max values found. For Categorical attributes, the string contains the distinct values found. See Descriptors, for more informations about the job parameter
ToolCombiner() - Constructor for class org.apache.mahout.ga.watchmaker.cd.tool.ToolCombiner
ToolMapper - Class in org.apache.mahout.ga.watchmaker.cd.tool
  Extract the attribute values from a dataline.
ToolMapper() - Constructor for class org.apache.mahout.ga.watchmaker.cd.tool.ToolMapper
ToolReducer - Class in org.apache.mahout.ga.watchmaker.cd.tool
  Combines attribute description strings into a String.
  For Numerical attributes, the string contains the min and max values found. For Categorical attributes, the string contains the distinct values found. See Descriptors, for more informations about the job parameter
ToolReducer() - Constructor for class org.apache.mahout.ga.watchmaker.cd.tool.ToolReducer
toString() - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingBooleanRecommender
toString() - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingDataModel
toString() - Method in class org.apache.mahout.cf.taste.example.bookcrossing.BookCrossingRecommender
toString() - Method in class org.apache.mahout.cf.taste.example.grouplens.GroupLensDataModel
toString() - Method in class org.apache.mahout.cf.taste.example.grouplens.GroupLensRecommender
toString() - Method in class org.apache.mahout.cf.taste.example.jester.JesterRecommender
toString() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixDataModel
toString() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixFileDataModel
toString() - Method in class org.apache.mahout.cf.taste.example.netflix.NetflixRecommender
toString() - Method in class org.apache.mahout.ga.watchmaker.cd.CDFitness
toString() - Method in class org.apache.mahout.ga.watchmaker.cd.CDRule
TrainLogistic - Class in org.apache.mahout.classifier.sgd
  Train a logistic regression for the examples from Chapter 13 of Mahout in Action
TrainNewsGroups - Class in org.apache.mahout.classifier.sgd
  Reads and trains an adaptive logistic regression model on the 20 newsgroups data.
TrainNewsGroups() - Constructor for class org.apache.mahout.classifier.sgd.TrainNewsGroups
TransposeToByUser - Class in org.apache.mahout.cf.taste.example.netflix
TravellingSalesman - Class in org.apache.mahout.ga.watchmaker.travellingsalesman
  Applet for comparing evolutionary and brute force approaches to the Travelling Salesman problem.
TravellingSalesman() - Constructor for class org.apache.mahout.ga.watchmaker.travellingsalesman.TravellingSalesman
  Creates the applet and lays out its GUI.
TravellingSalesmanStrategy - Interface in org.apache.mahout.ga.watchmaker.travellingsalesman
  Defines methods that must be implemented by classes that provide solutions to the Travelling Salesman problem.

## U

updateProgress(double) - Method in interface org.apache.mahout.ga.watchmaker.travellingsalesman.ProgressListener
  Call-back method that informs the implementing object of the current completion percentage.
useBias() - Method in class org.apache.mahout.classifier.sgd.LogisticModelParameters

## V

validate() - Method in class org.apache.mahout.classifier.bayes.SplitBayesInput
  Validates that the current instance is in a consistent state
valueIndex(int, String) - Method in class org.apache.mahout.ga.watchmaker.cd.DataSet
  Converts a string value of a nominal attribute to an `int`.

## W

WikipediaAnalyzer - Class in org.apache.mahout.analysis
WikipediaAnalyzer() - Constructor for class org.apache.mahout.analysis.WikipediaAnalyzer
WikipediaAnalyzer(CharArraySet) - Constructor for class org.apache.mahout.analysis.WikipediaAnalyzer
WikipediaDatasetCreatorDriver - Class in org.apache.mahout.classifier.bayes
  Create and run the Wikipedia Dataset Creator.
WikipediaDatasetCreatorMapper - Class in org.apache.mahout.classifier.bayes
  Maps over Wikipedia xml format and output all document having the category listed in the input category file
WikipediaDatasetCreatorMapper() - Constructor for class org.apache.mahout.classifier.bayes.WikipediaDatasetCreatorMapper
WikipediaDatasetCreatorOutputFormat - Class in org.apache.mahout.classifier.bayes
  This class extends the MultipleOutputFormat, allowing to write the output data to different output files in sequence file output format.
WikipediaDatasetCreatorOutputFormat() - Constructor for class org.apache.mahout.classifier.bayes.WikipediaDatasetCreatorOutputFormat
WikipediaDatasetCreatorReducer - Class in org.apache.mahout.classifier.bayes
  Can also be used as a local Combiner
WikipediaDatasetCreatorReducer() - Constructor for class org.apache.mahout.classifier.bayes.WikipediaDatasetCreatorReducer
WikipediaMapper - Class in org.apache.mahout.text
  Maps over Wikipedia xml format and output all document having the category listed in the input category file
WikipediaMapper() - Constructor for class org.apache.mahout.text.WikipediaMapper
WikipediaToSequenceFile - Class in org.apache.mahout.text
  Create and run the Wikipedia Dataset Creator.
WikipediaXmlSplitter - Class in org.apache.mahout.classifier.bayes
  Splits the wikipedia xml file in to chunks of size as specified by command line parameter
write(DataOutput) - Method in class org.apache.mahout.ga.watchmaker.cd.CDFitness
writeSampleData(Path) - Static method in class org.apache.mahout.clustering.display.DisplayClustering
writeToSequenceFile(Map<String, List<Integer>>, Path) - Static method in class org.apache.mahout.clustering.minhash.LastfmDataConverter
  Converts each record in (item,features) map into Mahout vector format and writes it into sequencefile for minhash clustering

## X

XmlInputFormat - Class in org.apache.mahout.classifier.bayes
  Reads records that are delimited by a specific begin/end tag.
XmlInputFormat() - Constructor for class org.apache.mahout.classifier.bayes.XmlInputFormat
XmlInputFormat.XmlRecordReader - Class in org.apache.mahout.classifier.bayes
  XMLRecordReader class to read through a given xml document to output xml blocks as records as specified by the start tag and end tag
XmlInputFormat.XmlRecordReader(FileSplit, Configuration) - Constructor for class org.apache.mahout.classifier.bayes.XmlInputFormat.XmlRecordReader

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