## Uses of Class
org.apache.mahout.common.Parameters

Packages that use Parameters
org.apache.mahout.classifier.bayes.common
org.apache.mahout.classifier.bayes.datastore
org.apache.mahout.classifier.bayes.io
org.apache.mahout.classifier.bayes.mapreduce.bayes
org.apache.mahout.common
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.

Uses of Parameters in org.apache.mahout.classifier.bayes.common

Subclasses of Parameters in org.apache.mahout.classifier.bayes.common
`class` `BayesParameters` BayesParameter used for passing parameters to the Map/Reduce Jobs parameters include gramSize,

Uses of Parameters in org.apache.mahout.classifier.bayes.datastore

Methods in org.apache.mahout.classifier.bayes.datastore that return Parameters
`protected Parameters` `HBaseBayesDatastore.getParameters()`

Constructors in org.apache.mahout.classifier.bayes.datastore with parameters of type Parameters
`HBaseBayesDatastore(java.lang.String hbaseTable, Parameters params)`
`InMemoryBayesDatastore(Parameters params)`

Uses of Parameters in org.apache.mahout.classifier.bayes.io

Methods in org.apache.mahout.classifier.bayes.io with parameters of type Parameters
`static void` `SequenceFileModelReader.loadModel(InMemoryBayesDatastore datastore, org.apache.hadoop.fs.FileSystem fs, Parameters params, org.apache.hadoop.conf.Configuration conf)`

Uses of Parameters in org.apache.mahout.classifier.bayes.mapreduce.bayes

Methods in org.apache.mahout.classifier.bayes.mapreduce.bayes with parameters of type Parameters
`static ConfusionMatrix` `BayesClassifierDriver.readResult(org.apache.hadoop.fs.FileSystem fs, org.apache.hadoop.fs.Path pathPattern, org.apache.hadoop.conf.Configuration conf, Parameters params)`
`static void` `BayesClassifierDriver.runJob(Parameters params)` Run the job

Uses of Parameters in org.apache.mahout.common

Methods in org.apache.mahout.common that return Parameters
`static Parameters` `Parameters.fromString(java.lang.String serializedString)`

Uses of Parameters in org.apache.mahout.fpm.pfpgrowth

Methods in org.apache.mahout.fpm.pfpgrowth with parameters of type Parameters
`static java.util.List<Pair<java.lang.String,java.lang.Long>>` `PFPGrowth.deserializeList(Parameters params, java.lang.String key, org.apache.hadoop.conf.Configuration conf)` Generates the fList from the serialized string representation
`static java.util.Map<java.lang.String,java.lang.Long>` `PFPGrowth.deserializeMap(Parameters params, java.lang.String key, org.apache.hadoop.conf.Configuration conf)` Generates the gList(Group ID Mapping of Various frequent Features) Map from the corresponding serialized representation
`static java.util.List<Pair<java.lang.String,java.lang.Long>>` `PFPGrowth.readFList(Parameters params)` read the feature frequency List which is built at the end of the Parallel counting job
`static java.util.List<Pair<java.lang.String,TopKStringPatterns>>` `PFPGrowth.readFrequentPattern(Parameters params)` Read the Frequent Patterns generated from Text
`static void` `PFPGrowth.runPFPGrowth(Parameters params)`
`static void` `PFPGrowth.startAggregating(Parameters params)` 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
`static void` `PFPGrowth.startGroupingItems(Parameters params)` Group the given Features into g groups as defined by the numGroups parameter in params
`static void` `PFPGrowth.startParallelCounting(Parameters params)` Count the frequencies of various features in parallel using Map/Reduce
`static void` `PFPGrowth.startParallelFPGrowth(Parameters params)` Run the Parallel FPGrowth Map/Reduce Job to calculate the Top K features of group dependent shards
`static void` `PFPGrowth.startTransactionSorting(Parameters params)` Run the Parallel FPGrowth Map/Reduce Job to calculate the Top K features of group dependent shards

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