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

Packages that use Parameters
org.apache.mahout.fpm.pfpgrowth: MapReduce (parallel) implementation of FP Growth Algorithm for frequent Itemset Mining

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

Methods in org.apache.mahout.fpm.pfpgrowth with parameters of type Parameters
`static List<Pair<String,Long>>` `PFPGrowth.readFList(Parameters params)` read the feature frequency List which is built at the end of the Parallel counting job
`static List<Pair<String,TopKStringPatterns>>` `PFPGrowth.readFrequentPattern(Parameters params)` Read the Frequent Patterns generated from Text
`static void` `PFPGrowth.runPFPGrowth(Parameters params)`
`static void` `PFPGrowth.runPFPGrowth(Parameters params, org.apache.hadoop.conf.Configuration conf)`
`static void` `PFPGrowth.saveFList(Iterable<Pair<String,Long>> flist, Parameters params, org.apache.hadoop.conf.Configuration conf)` Serializes the fList and returns the string representation of the List
`static void` `PFPGrowth.startAggregating(Parameters params, org.apache.hadoop.conf.Configuration conf)` 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.startParallelCounting(Parameters params, org.apache.hadoop.conf.Configuration conf)` Count the frequencies of various features in parallel using Map/Reduce
`static void` `PFPGrowth.startParallelFPGrowth(Parameters params, org.apache.hadoop.conf.Configuration conf)` Run the Parallel FPGrowth Map/Reduce Job to calculate the Top K features of group dependent shards

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