Package com.namsor.oss.classify.bayes

Class NaiveBayesClassifierRocksDBLaplacedImpl

java.lang.Object

com.namsor.oss.classify.bayes.AbstractNaiveBayesImpl

com.namsor.oss.classify.bayes.AbstractNaiveBayesClassifierImpl

com.namsor.oss.classify.bayes.AbstractNaiveBayesClassifierRocksDBImpl

com.namsor.oss.classify.bayes.NaiveBayesClassifierRocksDBLaplacedImpl

All Implemented Interfaces:

INaiveBayesClassifier

public class NaiveBayesClassifierRocksDBLaplacedImpl
extends AbstractNaiveBayesClassifierRocksDBImpl
implements INaiveBayesClassifier

Naive Bayes Classifier with Laplace smoothing and implementation with RocksDB as key/value store. Learning is Synchronized but classification is not.

Author:

elian carsenat, NamSor SAS

Field Summary

Fields inherited from class com.namsor.oss.classify.bayes.AbstractNaiveBayesClassifierImpl

orderByProba

Constructor Summary

Constructors

Constructor	Description
NaiveBayesClassifierRocksDBLaplacedImpl(String classifierName, String[] categories, String rootPathWritable)	Create a Naive Bayes Classifier implementation with RocksDB as key/value store and defaults for Laplace smoothing (ALPHA=1 and VARIANT=false)
NaiveBayesClassifierRocksDBLaplacedImpl(String classifierName, String[] categories, String rootPathWritable, double alpha, boolean variant)	Create a Naive Bayes Classifier implementation with RocksDB as key/value store.

Method Summary

Modifier and Type	Method	Description
IClassification	classify(Map<String,String> features, boolean explainData)	Predict most probable class, optionally returning the data needed for future explanation.
void	learn(String category, Map<String,String> features, long weight)	Learn from features

Methods inherited from class com.namsor.oss.classify.bayes.AbstractNaiveBayesClassifierRocksDBImpl

bytes, dbClose, dbCloseAndDestroy, dbSize, dumpDb, finalize, getDb

Methods inherited from class com.namsor.oss.classify.bayes.AbstractNaiveBayesClassifierImpl

getCategories, getClassifierName, learn, likelihoodsToProbas

Methods inherited from class com.namsor.oss.classify.bayes.AbstractNaiveBayesImpl

pathCategory, pathCategoryFeatureKey, pathCategoryFeatureKeyValue, pathFeatureKey, pathFeatureKeyCountValueTypes, pathFeatureKeyValue, pathGlobal, pathGlobalCountCategories

Methods inherited from class java.lang.Object

clone, equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface com.namsor.oss.classify.bayes.INaiveBayesClassifier

dbClose, dbCloseAndDestroy, dbSize, dumpDb, getCategories, learn

Constructor Detail

NaiveBayesClassifierRocksDBLaplacedImpl

public NaiveBayesClassifierRocksDBLaplacedImpl(String classifierName,
                                               String[] categories,
                                               String rootPathWritable,
                                               double alpha,
                                               boolean variant)
                                        throws PersistentClassifierException

Create a Naive Bayes Classifier implementation with RocksDB as key/value store.

Parameters:

classifierName - The classifier name

categories - The classification categories

rootPathWritable - A writable path for RocksDB

alpha - The Laplace alpha, typically 1.0

variant - The Laplace variant

Throws:

PersistentClassifierException - The persistence error and cause

NaiveBayesClassifierRocksDBLaplacedImpl

public NaiveBayesClassifierRocksDBLaplacedImpl(String classifierName,
                                               String[] categories,
                                               String rootPathWritable)
                                        throws PersistentClassifierException

Create a Naive Bayes Classifier implementation with RocksDB as key/value store and defaults for Laplace smoothing (ALPHA=1 and VARIANT=false)

Parameters:

classifierName - The classifier name

categories - The classification categories

rootPathWritable - A writable path for RocksDB

Throws:

PersistentClassifierException - The persistence error and cause

Method Detail

learn

public void learn(String category,
                  Map<String,String> features,
                  long weight)
           throws ClassifyException

Description copied from interface: INaiveBayesClassifier

Learn from features

Specified by:

learn in interface INaiveBayesClassifier

Parameters:

category - The category

features - The features

weight - The weight

Throws:

ClassifyException - The classification error and cause

classify

public IClassification classify(Map<String,String> features,
                                boolean explainData)
                         throws ClassifyException

Description copied from interface: INaiveBayesClassifier

Predict most probable class, optionally returning the data needed for future explanation.

Specified by:

classify in interface INaiveBayesClassifier

Parameters:

features - The features

explainData - If should return the data needed for future explanation

Returns:

The most likely classes with probability and (optionally) the explanation

Throws:

ClassifyException - The classification error and cause