Package org.apache.mahout.classifier.bayes.mapreduce.common

Interface Summary

BayesJob

Implementors of this interface provide a way for running bayes training jobs on a hadoop cluster.

Class Summary

BayesConstants	Class containing Constants used by Naive Bayes classifier classes
BayesFeatureCombiner	Can also be used as a local Combiner.
BayesFeatureDriver	Create and run the Bayes Feature Reader Step.
BayesFeatureMapper	Reads the input train set(preprocessed using the BayesFileFormatter).
BayesFeatureOutputFormat	This class extends the MultipleOutputFormat, allowing to write the output data to different output files in sequence file output format.
BayesFeatureReducer	Can also be used as a local Combiner.
BayesTfIdfDriver	The Driver which drives the Tf-Idf Generation
BayesTfIdfMapper	Naive Bayes Tfidf Mapper.
BayesTfIdfOutputFormat	This class extends the MultipleOutputFormat, allowing to write the output data to different output files in sequence file output format.
BayesTfIdfReducer	Can also be used as a local Combiner beacuse only two values should be there inside the values
BayesWeightSummerDriver	Create and run the Bayes Trainer.
BayesWeightSummerMapper	Calculates weight sum for a unique label, and feature
BayesWeightSummerOutputFormat	This class extends the MultipleOutputFormat, allowing to write the output data to different output files in sequence file output format.
BayesWeightSummerReducer	Can also be used as a local Combiner
FeatureLabelComparator
FeaturePartitioner	ensure that features all make it into the same partition.
JobExecutor	Base class for executing the Bayes Map/Reduce Jobs