org.apache.spark.ml.spark.models.svm

Class SVM

java.lang.Object

water.Iced

hex.ModelBuilder<org.apache.spark.ml.spark.models.svm.SVMModel,SVMParameters,org.apache.spark.ml.spark.models.svm.SVMModel.SVMOutput>

org.apache.spark.ml.spark.models.svm.SVM

All Implemented Interfaces:

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

public class SVM
extends hex.ModelBuilder<org.apache.spark.ml.spark.models.svm.SVMModel,SVMParameters,org.apache.spark.ml.spark.models.svm.SVMModel.SVMOutput>

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
SVM(boolean startup_once, org.apache.spark.h2o.H2OContext hc)
SVM(SVMParameters parms, org.apache.spark.h2o.H2OContext hc)

Method Summary

Methods

Modifier and Type	Method and Description
hex.ModelCategory[]	can_build()
void	init(boolean expensive)
boolean	isSupervised()
int	numSpecialCols()
protected hex.ModelBuilder.Driver	trainModelImpl()

Methods inherited from class hex.ModelBuilder

algoName, algos, builderVisibility, checkDistributions, checkMemoryFootPrint, 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, haveMojo, havePojo, hide, ignoreBadColumns, ignoreConstColumns, ignoreInvalidColumns, ignoreStringColumns, info, init_adaptFrameToTrain, isClassifier, isStopped, javaName, logMe, make, message, nclasses, nFoldCV, nFoldWork, nModelsInParallel, 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

SVM

public SVM(boolean startup_once,
   org.apache.spark.h2o.H2OContext hc)

SVM

public SVM(SVMParameters parms,
   org.apache.spark.h2o.H2OContext hc)

Method Detail

trainModelImpl

protected hex.ModelBuilder.Driver trainModelImpl()

Specified by:

trainModelImpl in class hex.ModelBuilder<org.apache.spark.ml.spark.models.svm.SVMModel,SVMParameters,org.apache.spark.ml.spark.models.svm.SVMModel.SVMOutput>

can_build

public hex.ModelCategory[] can_build()

Specified by:

can_build in class hex.ModelBuilder<org.apache.spark.ml.spark.models.svm.SVMModel,SVMParameters,org.apache.spark.ml.spark.models.svm.SVMModel.SVMOutput>

isSupervised

public boolean isSupervised()

Specified by:

isSupervised in class hex.ModelBuilder<org.apache.spark.ml.spark.models.svm.SVMModel,SVMParameters,org.apache.spark.ml.spark.models.svm.SVMModel.SVMOutput>

init

public void init(boolean expensive)

Overrides:

init in class hex.ModelBuilder<org.apache.spark.ml.spark.models.svm.SVMModel,SVMParameters,org.apache.spark.ml.spark.models.svm.SVMModel.SVMOutput>

numSpecialCols

public int numSpecialCols()

Overrides:

numSpecialCols in class hex.ModelBuilder<org.apache.spark.ml.spark.models.svm.SVMModel,SVMParameters,org.apache.spark.ml.spark.models.svm.SVMModel.SVMOutput>