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
 



Copyright © 2008–2014 The Apache Software Foundation. All rights reserved.