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

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

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

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

Methods in org.apache.mahout.classifier.bayes with parameters of type Parameters
static void SequenceFileModelReader.loadModel(InMemoryBayesDatastore datastore, 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 void BayesClassifierDriver.confusionMatrixSeqFileExport(Parameters params, ConfusionMatrix matrix)
           
static ConfusionMatrix BayesClassifierDriver.readResult(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.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.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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