public abstract class ClusteringModelBuilder<M extends ClusteringModel<M,P,O>,P extends ClusteringModel.ClusteringParameters,O extends ClusteringModel.ClusteringOutput> extends ModelBuilder<M,P,O>
ModelBuilder.BuilderVisibility, ModelBuilder.Driver, ModelBuilder.FilterCols, ModelBuilder.ModelTrainingCoordinator, ModelBuilder.ValidationMessage
_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 and Description |
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ClusteringModelBuilder(P parms)
Constructor called from an http request; MUST override in subclasses.
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ClusteringModelBuilder(P parms,
boolean startup_once) |
ClusteringModelBuilder(P parms,
Job job) |
Modifier and Type | Method and Description |
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void |
init(boolean expensive)
Initialize the ModelBuilder, validating all arguments and preparing the
training frame.
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boolean |
isSupervised() |
algoName, algos, builderVisibility, can_build, canLearnFromNAs, checkCustomMetricForEarlyStopping, checkDistributions, checkEarlyStoppingReproducibility, checkMemoryFootPrint_impl, checkMemoryFootPrint, checkResponseVariable, clearInitState, clearValidationErrors, computeCrossValidation, computePriorClassDistribution, cv_buildModels, cv_canBuildMainModelInParallel, cv_computeAndSetOptimalParameters, 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, haveMojo, havePojo, 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, nModelsInParallel, numSpecialCols, paramName, raiseReproducibilityWarning, rebalance, remainingTimeSecs, response, schemaDirectory, separateFeatureVecs, setMaxRuntimeSecsForMainModel, setTrain, setValid, shouldReorder, smallDataSize, stop_requested, timeout, train, trainModel, trainModel, trainModelImpl, trainModelNested, trainModelNested, trainModelOnH2ONode, valid, validateBinaryResponse, validateStoppingMetric, validationErrors, validationWarnings, vresponse, warn
asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonBytes, toJsonString, write, writeExternal, writeJSON
public ClusteringModelBuilder(P parms)
public ClusteringModelBuilder(P parms, boolean startup_once)
public boolean isSupervised()
isSupervised
in class ModelBuilder<M extends ClusteringModel<M,P,O>,P extends ClusteringModel.ClusteringParameters,O extends ClusteringModel.ClusteringOutput>
public void init(boolean expensive)
init
in class ModelBuilder<M extends ClusteringModel<M,P,O>,P extends ClusteringModel.ClusteringParameters,O extends ClusteringModel.ClusteringOutput>