hex.naivebayes

Class NaiveBayes

java.lang.Object

water.Iced<T>

water.Keyed

water.Job<M>

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

Nested classes/interfaces inherited from class water.Job

water.Job.JobCancelledException, water.Job.JobState, water.Job.Progress, water.Job.ProgressUpdate, water.Job.ValidationMessage

Nested classes/interfaces inherited from class water.Keyed

water.Keyed.BinarySerializer<X extends water.Keyed>

Field Summary

Fields inherited from class hex.ModelBuilder

_fold, _nclass, _offset, _parms, _response, _train, _valid, _vresponse, _weights

Fields inherited from class water.Job

_description, _dest, _end_time, _exception, _messages, _progressKey, _start_time, _state, LIST

Fields inherited from class water.Keyed

_key, EMPTY_KEY_LIST

Constructor Summary

Constructors

Constructor and Description
NaiveBayes(NaiveBayesModel.NaiveBayesParameters parms)

Method Summary

Methods

Modifier and Type	Method and Description
hex.ModelBuilder.BuilderVisibility	builderVisibility()
hex.ModelCategory[]	can_build()
protected void	checkMemoryFootPrint()
void	init(boolean expensive)
boolean	isSupervised()
long	progressUnits()
hex.schemas.ModelBuilderSchema	schema()
water.Job<NaiveBayesModel>	trainModelImpl(long work, boolean restartTimer)

Methods inherited from class hex.ModelBuilder

canBeDone, cancel, checkDistributions, clearInitState, computeCrossValidation, computePriorClassDistribution, createModelBuilder, deleteProgressKey, error_count, getAlgo, getAlgo, getAlgo, getAlgoFullName, getModelBuilder, getModelBuilders, getModelClass, hasFoldCol, hasOffsetCol, hasWeightCol, ignoreBadColumns, ignoreStringColumns, isClassifier, modifyParmsForCrossValidationMainModel, modifyParmsForCrossValidationSplits, nclasses, nFoldCV, numSpecialCols, registerModelBuilder, response, responseMean, separateFeatureVecs, train, trainModel, updateModelOutput, valid, vresponse

Methods inherited from class water.Job

block, cancel, checksum_impl, clearValidationErrors, createProgressKey, dest, done, done, error_count_or_uninitialized, error, failed, get, hide, info, isCancelledOrCrashed, isDone, isRunning, isRunning, isStopped, jobKey, jobs, message, msec, progress_msg, progress, remove_impl, start, update, update, update, update, updateValidationMessages, validationErrors, warn

Methods inherited from class water.Keyed

checksum, getBinarySerializer, getPublishedKeys, remove, remove, remove, remove

Methods inherited from class water.Iced

clone, frozenType, read_impl, read, readExternal, readJSON_impl, readJSON, toJsonString, write_impl, write, writeExternal, writeJSON_impl, 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)

Method Detail

schema

public hex.schemas.ModelBuilderSchema schema()

Specified by:

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

isSupervised

public boolean isSupervised()

Overrides:

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

trainModelImpl

public water.Job<NaiveBayesModel> trainModelImpl(long work,
                                        boolean restartTimer)

Specified by:

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

progressUnits

public long progressUnits()

Specified by:

progressUnits 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>

builderVisibility

public hex.ModelBuilder.BuilderVisibility builderVisibility()

Specified by:

builderVisibility 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>