hex.naivebayes

Class NaiveBayes

java.lang.Object

water.Iced

hex.ModelBuilder<NaiveBayesModel,NaiveBayesModel.NaiveBayesParameters,NaiveBayesModel.NaiveBayesOutput>

hex.naivebayes.NaiveBayes

All Implemented Interfaces:

java.io.Externalizable, java.io.Serializable, java.lang.Cloneable, water.Freezable

public class NaiveBayes
extends hex.ModelBuilder<NaiveBayesModel,NaiveBayesModel.NaiveBayesParameters,NaiveBayesModel.NaiveBayesOutput>

Naive Bayes This is an algorithm for computing the conditional a-posterior probabilities of a categorical response from independent predictors using Bayes rule. Naive Bayes on Wikipedia Lecture Notes by Andrew Ng

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class hex.ModelBuilder

hex.ModelBuilder.BuilderVisibility, hex.ModelBuilder.Driver, hex.ModelBuilder.FilterCols, hex.ModelBuilder.ValidationMessage

Field Summary

Fields inherited from class hex.ModelBuilder

_fold, _job, _messages, _nclass, _offset, _origDomains, _origNames, _parms, _priorClassDist, _removedCols, _response, _result, _train, _valid, _vresponse, _weights

Constructor Summary

Constructors

Constructor and Description
NaiveBayes(boolean startup_once)
NaiveBayes(NaiveBayesModel.NaiveBayesParameters parms)

Method Summary

Methods

Modifier and Type	Method and Description
hex.ModelCategory[]	can_build()
protected void	checkMemoryFootPrint()
boolean	haveMojo()
boolean	havePojo()
void	init(boolean expensive)
boolean	isSupervised()
protected hex.naivebayes.NaiveBayes.NaiveBayesDriver	trainModelImpl()

Methods inherited from class hex.ModelBuilder

algoName, algos, builderVisibility, checkDistributions, clearInitState, clearValidationErrors, computeCrossValidation, computePriorClassDistribution, cv_AssignFold, cv_buildModels, cv_computeAndSetOptimalParameters, cv_mainModelScores, cv_makeFramesAndBuilders, cv_makeWeights, cv_scoreCVModels, defaultKey, desiredChunks, dest, error_count, error, get, getToEigenVec, hasFoldCol, hasOffsetCol, hasWeightCol, hide, ignoreBadColumns, ignoreConstColumns, ignoreInvalidColumns, ignoreStringColumns, info, init_adaptFrameToTrain, isClassifier, isStopped, javaName, logMe, make, message, nclasses, nFoldCV, nFoldWork, nModelsInParallel, numSpecialCols, paramName, rebalance, response, schemaDirectory, separateFeatureVecs, setTrain, shouldReorder, specialColNames, stop_requested, timeout, train, trainModel, trainModelNested, valid, validationErrors, vresponse, warn

Methods inherited from class water.Iced

asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonString, write, writeExternal, writeJSON

Methods inherited from class java.lang.Object

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

Constructor Detail

NaiveBayes

public NaiveBayes(NaiveBayesModel.NaiveBayesParameters parms)

NaiveBayes

public NaiveBayes(boolean startup_once)

Method Detail

isSupervised

public boolean isSupervised()

Specified by:

isSupervised in class hex.ModelBuilder<NaiveBayesModel,NaiveBayesModel.NaiveBayesParameters,NaiveBayesModel.NaiveBayesOutput>

trainModelImpl

protected hex.naivebayes.NaiveBayes.NaiveBayesDriver trainModelImpl()

Specified by:

trainModelImpl in class hex.ModelBuilder<NaiveBayesModel,NaiveBayesModel.NaiveBayesParameters,NaiveBayesModel.NaiveBayesOutput>

can_build

public hex.ModelCategory[] can_build()

Specified by:

can_build in class hex.ModelBuilder<NaiveBayesModel,NaiveBayesModel.NaiveBayesParameters,NaiveBayesModel.NaiveBayesOutput>

havePojo

public boolean havePojo()

Overrides:

havePojo in class hex.ModelBuilder<NaiveBayesModel,NaiveBayesModel.NaiveBayesParameters,NaiveBayesModel.NaiveBayesOutput>

haveMojo

public boolean haveMojo()

Overrides:

haveMojo in class hex.ModelBuilder<NaiveBayesModel,NaiveBayesModel.NaiveBayesParameters,NaiveBayesModel.NaiveBayesOutput>

checkMemoryFootPrint

protected void checkMemoryFootPrint()

Overrides:

checkMemoryFootPrint in class hex.ModelBuilder<NaiveBayesModel,NaiveBayesModel.NaiveBayesParameters,NaiveBayesModel.NaiveBayesOutput>

init

public void init(boolean expensive)

Overrides:

init in class hex.ModelBuilder<NaiveBayesModel,NaiveBayesModel.NaiveBayesParameters,NaiveBayesModel.NaiveBayesOutput>