hex

Class ClusteringModelBuilder<M extends ClusteringModel<M,P,O>,P extends ClusteringModel.ClusteringParameters,O extends ClusteringModel.ClusteringOutput>

java.lang.Object

water.Iced

hex.ModelBuilder<M,P,O>

hex.ClusteringModelBuilder<M,P,O>

All Implemented Interfaces:

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

public abstract class ClusteringModelBuilder<M extends ClusteringModel<M,P,O>,P extends ClusteringModel.ClusteringParameters,O extends ClusteringModel.ClusteringOutput>
extends ModelBuilder<M,P,O>

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class hex.ModelBuilder

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

Field Summary

Fields inherited from class hex.ModelBuilder

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

Constructor Summary

Constructors

Constructor and Description
ClusteringModelBuilder(P parms) Constructor called from an http request; MUST override in subclasses.
ClusteringModelBuilder(P parms, boolean startup_once)
ClusteringModelBuilder(P parms, Job job)

Method Summary

Modifier and Type	Method and Description
void	init(boolean expensive) Initialize the ModelBuilder, validating all arguments and preparing the training frame.
boolean	isSupervised()

Methods inherited from class hex.ModelBuilder

algoName, algos, builderVisibility, bulkBuildModels, can_build, canLearnFromNAs, checkDistributions, checkMemoryFootPrint_impl, checkMemoryFootPrint, checkResponseVariable, clearInitState, clearValidationErrors, computeCrossValidation, computePriorClassDistribution, cv_AssignFold, cv_buildModels, cv_computeAndSetOptimalParameters, cv_mainModelScores, cv_makeWeights, cv_scoreCVModels, defaultKey, desiredChunks, dest, error_count, error, get, getName, getSysProperty, getToEigenVec, hasFoldCol, hasOffsetCol, hasWeightCol, haveMojo, havePojo, hide, ignoreBadColumns, ignoreConstColumns, ignoreInvalidColumns, ignoreStringColumns, ignoreUuidColumns, info, init_adaptFrameToTrain, init_getNClass, initWorkspace, isClassifier, isResponseOptional, isStopped, javaName, logMe, make, make, make, message, nclasses, nFoldCV, nFoldWork, nModelsInParallel, nModelsInParallel, nModelsInParallel, numSpecialCols, paramName, rebalance, remainingTimeSecs, response, schemaDirectory, separateFeatureVecs, setTrain, setValid, shouldReorder, specialColNames, stop_requested, timeout, train, trainModel, trainModel, trainModelImpl, trainModelNested, trainModelNested, trainModelOnH2ONode, valid, validateStoppingMetric, validationErrors, validationWarnings, 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

ClusteringModelBuilder

public ClusteringModelBuilder(P parms)

Constructor called from an http request; MUST override in subclasses.

ClusteringModelBuilder

public ClusteringModelBuilder(P parms,
                              Job job)

ClusteringModelBuilder

public ClusteringModelBuilder(P parms,
                              boolean startup_once)

Method Detail

isSupervised

public boolean isSupervised()

Specified by:

isSupervised in class ModelBuilder<M extends ClusteringModel<M,P,O>,P extends ClusteringModel.ClusteringParameters,O extends ClusteringModel.ClusteringOutput>

init

public void init(boolean expensive)

Initialize the ModelBuilder, validating all arguments and preparing the training frame. This call is expected to be overridden in the subclasses and each subclass will start with "super.init();". This call is made by the front-end whenever the GUI is clicked, and needs to be fast; heavy-weight prep needs to wait for the trainModel() call.

Overrides:

init in class ModelBuilder<M extends ClusteringModel<M,P,O>,P extends ClusteringModel.ClusteringParameters,O extends ClusteringModel.ClusteringOutput>