hex.Infogram

Class Infogram

java.lang.Object

water.Iced

hex.ModelBuilder<InfogramModel,InfogramModel.InfogramParameters,InfogramModel.InfogramModelOutput>

hex.Infogram.Infogram

All Implemented Interfaces:

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

public class Infogram
extends hex.ModelBuilder<InfogramModel,InfogramModel.InfogramParameters,InfogramModel.InfogramModelOutput>

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.ModelTrainingCoordinator, hex.ModelBuilder.ValidationMessage

Field Summary

Fields inherited from class hex.ModelBuilder

_coordinator, _desc, _eventPublisher, _fold, _input_parms, _job, _messages, _nclass, _offset, _orig_projection_array, _origDomains, _origNames, _origTrain, _parms, _priorClassDist, _removedCols, _response, _result, _startUpOnceModelBuilder, _train, _treatment, _valid, _vresponse, _weights

Constructor Summary

Constructors

Constructor and Description
Infogram(boolean startup_once)
Infogram(InfogramModel.InfogramParameters parms)
Infogram(InfogramModel.InfogramParameters parms, water.Key<InfogramModel> key)

Method Summary

Modifier and Type	Method and Description
void	calculateMeanInfogramInfo(double[][] cmiRaw, java.util.List<java.util.List<java.lang.String>> columns, long[] nObs)
hex.ModelCategory[]	can_build()
void	computeCrossValidation() This is called before cross-validation is carried out
void	cv_computeAndSetOptimalParameters(hex.ModelBuilder[] cvModelBuilders)
boolean	haveMojo()
boolean	havePojo()
void	init(boolean expensive)
boolean	isSupervised()
protected int	nModelsInParallel(int folds)
protected hex.ModelBuilder.Driver	trainModelImpl()

Methods inherited from class hex.ModelBuilder

algoName, algos, builderVisibility, canLearnFromNAs, checkCustomMetricForEarlyStopping, checkDistributions, checkEarlyStoppingReproducibility, checkMemoryFootPrint_impl, checkMemoryFootPrint, checkResponseVariable, clearInitState, clearValidationErrors, computePriorClassDistribution, cv_buildModels, cv_canBuildMainModelInParallel, cv_initStoppingParameters, cv_mainModelScores, cv_makeAggregateModelMetrics, cv_scoreCVModels, cv_updateOptimalParameters, defaultKey, desiredChunks, dest, error_count, error, get, getMessagesByFieldAndSeverity, getName, getSysProperty, getToEigenVec, hasFoldCol, hasOffsetCol, hasTreatmentCol, hasWeightCol, hide, ignoreBadColumns, ignoreConstColumns, ignoreInvalidColumns, ignoreStringColumns, ignoreUuidColumns, info, init_adaptFrameToTrain, init_getNClass, initWorkspace, isClassifier, isResponseOptional, isStopped, javaName, logMe, make, make, make, makeCVMetrics, makeCVModelBuilder, makeParameters, makePojoWriter, message, nclasses, nFoldCV, nFoldWork, nModelsInParallel, nModelsInParallel, numSpecialCols, paramName, rebalance, remainingTimeSecs, response, schemaDirectory, separateFeatureVecs, setMaxRuntimeSecsForMainModel, setTrain, setValid, shouldReorder, smallDataSize, stop_requested, timeout, train, trainModel, trainModel, trainModelNested, trainModelNested, trainModelOnH2ONode, valid, validateBinaryResponse, validateStoppingMetric, validationErrors, validationWarnings, vresponse, warn

Methods inherited from class water.Iced

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

Methods inherited from class java.lang.Object

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

Constructor Detail

Infogram

public Infogram(boolean startup_once)

Infogram

public Infogram(InfogramModel.InfogramParameters parms)

Infogram

public Infogram(InfogramModel.InfogramParameters parms,
                water.Key<InfogramModel> key)

Method Detail

trainModelImpl

protected hex.ModelBuilder.Driver trainModelImpl()

Specified by:

trainModelImpl in class hex.ModelBuilder<InfogramModel,InfogramModel.InfogramParameters,InfogramModel.InfogramModelOutput>

nModelsInParallel

protected int nModelsInParallel(int folds)

Overrides:

nModelsInParallel in class hex.ModelBuilder<InfogramModel,InfogramModel.InfogramParameters,InfogramModel.InfogramModelOutput>

computeCrossValidation

public void computeCrossValidation()

This is called before cross-validation is carried out

Overrides:

computeCrossValidation in class hex.ModelBuilder<InfogramModel,InfogramModel.InfogramParameters,InfogramModel.InfogramModelOutput>

cv_computeAndSetOptimalParameters

public void cv_computeAndSetOptimalParameters(hex.ModelBuilder[] cvModelBuilders)

Overrides:

cv_computeAndSetOptimalParameters in class hex.ModelBuilder<InfogramModel,InfogramModel.InfogramParameters,InfogramModel.InfogramModelOutput>

calculateMeanInfogramInfo

public void calculateMeanInfogramInfo(double[][] cmiRaw,
                                      java.util.List<java.util.List<java.lang.String>> columns,
                                      long[] nObs)

can_build

public hex.ModelCategory[] can_build()

Specified by:

can_build in class hex.ModelBuilder<InfogramModel,InfogramModel.InfogramParameters,InfogramModel.InfogramModelOutput>

isSupervised

public boolean isSupervised()

Specified by:

isSupervised in class hex.ModelBuilder<InfogramModel,InfogramModel.InfogramParameters,InfogramModel.InfogramModelOutput>

havePojo

public boolean havePojo()

Overrides:

havePojo in class hex.ModelBuilder<InfogramModel,InfogramModel.InfogramParameters,InfogramModel.InfogramModelOutput>

haveMojo

public boolean haveMojo()

Overrides:

haveMojo in class hex.ModelBuilder<InfogramModel,InfogramModel.InfogramParameters,InfogramModel.InfogramModelOutput>

init

public void init(boolean expensive)

Overrides:

init in class hex.ModelBuilder<InfogramModel,InfogramModel.InfogramParameters,InfogramModel.InfogramModelOutput>