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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