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.ValidationMessage
_fold, _job, _messages, _nclass, _offset, _origDomains, _origNames, _parms, _priorClassDist, _removedCols, _response, _result, _train, _valid, _vresponse, _weights
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) |
Modifier and Type | Method and Description |
---|---|
void |
init(boolean expensive)
Initialize the ModelBuilder, validating all arguments and preparing the
training frame.
|
boolean |
isSupervised() |
algoName, algos, builderVisibility, can_build, 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, numSpecialCols, paramName, rebalance, response, schemaDirectory, separateFeatureVecs, setTrain, shouldReorder, specialColNames, stop_requested, timeout, train, trainModel, trainModelImpl, trainModelNested, valid, validationErrors, vresponse, warn
asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, 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>