com.datumbox.framework.core.machinelearning.classification

Class MultinomialNaiveBayes

java.lang.Object

com.datumbox.framework.core.machinelearning.common.abstracts.AbstractTrainer<MP,TP>

com.datumbox.framework.core.machinelearning.common.abstracts.modelers.AbstractModeler<MP,TP>

com.datumbox.framework.core.machinelearning.common.abstracts.modelers.AbstractClassifier<MP,TP>

com.datumbox.framework.core.machinelearning.common.abstracts.algorithms.AbstractNaiveBayes<MultinomialNaiveBayes.ModelParameters,MultinomialNaiveBayes.TrainingParameters>

com.datumbox.framework.core.machinelearning.classification.MultinomialNaiveBayes

All Implemented Interfaces:

Savable, Parallelizable, PredictParallelizable, Trainable<MultinomialNaiveBayes.ModelParameters,MultinomialNaiveBayes.TrainingParameters>, TrainParallelizable, java.lang.AutoCloseable

public class MultinomialNaiveBayes
extends AbstractNaiveBayes<MultinomialNaiveBayes.ModelParameters,MultinomialNaiveBayes.TrainingParameters>

The MultinomialNaiveBayes class provides an implementation of Multinomial Naive Bayes model. References: http://blog.datumbox.com/machine-learning-tutorial-the-naive-bayes-text-classifier/

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	MultinomialNaiveBayes.ModelParameters Base class for every ModelParameter class in the framework.
static class	MultinomialNaiveBayes.TrainingParameters The AbstractTrainingParameters class stores the parameters that can be changed before training the algorithm.

Nested classes/interfaces inherited from class com.datumbox.framework.core.machinelearning.common.abstracts.algorithms.AbstractNaiveBayes

AbstractNaiveBayes.AbstractModelParameters, AbstractNaiveBayes.AbstractTrainingParameters

Nested classes/interfaces inherited from interface com.datumbox.framework.core.machinelearning.common.interfaces.PredictParallelizable

PredictParallelizable.Prediction

Method Summary

Methods inherited from class com.datumbox.framework.core.machinelearning.common.abstracts.algorithms.AbstractNaiveBayes

_predictRecord, isParallelized, setParallelized

Methods inherited from class com.datumbox.framework.core.machinelearning.common.abstracts.modelers.AbstractModeler

predict

Methods inherited from class com.datumbox.framework.core.machinelearning.common.abstracts.AbstractTrainer

close, delete, fit, getModelParameters, getTrainingParameters, save

Methods inherited from class java.lang.Object

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

Methods inherited from interface com.datumbox.framework.core.machinelearning.common.interfaces.PredictParallelizable

_predictDatasetParallel, _predictDatasetParallel