public class Quantile extends ModelBuilder<QuantileModel,QuantileModel.QuantileParameters,QuantileModel.QuantileOutput>
Modifier and Type | Class and Description |
---|---|
static class |
Quantile.StratifiedQuantilesTask |
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 |
---|
Quantile(QuantileModel.QuantileParameters parms) |
Quantile(QuantileModel.QuantileParameters parms,
Job job) |
Modifier and Type | Method and Description |
---|---|
hex.ModelCategory[] |
can_build()
List containing the categories of models that this builder can
build.
|
protected int |
desiredChunks(Frame original_fr,
boolean local)
Find desired number of chunks.
|
void |
init(boolean expensive)
Initialize the ModelBuilder, validating all arguments and preparing the
training frame.
|
boolean |
isSupervised() |
protected boolean |
logMe() |
ModelBuilder.Driver |
trainModelImpl()
Model-specific implementation of model training
|
algoName, algos, builderVisibility, bulkBuildModels, checkDistributions, checkMemoryFootPrint_impl, checkMemoryFootPrint, checkResponseVariable, clearInitState, clearValidationErrors, computeCrossValidation, computePriorClassDistribution, cv_AssignFold, cv_buildModels, cv_computeAndSetOptimalParameters, cv_mainModelScores, cv_makeFramesAndBuilders, cv_makeWeights, cv_scoreCVModels, defaultKey, dest, error_count, error, get, getSysProperty, getToEigenVec, hasFoldCol, hasOffsetCol, hasWeightCol, haveMojo, haveMojo, havePojo, havePojo, hide, ignoreBadColumns, ignoreConstColumns, ignoreInvalidColumns, ignoreStringColumns, ignoreUuidColumns, info, init_adaptFrameToTrain, isClassifier, isStopped, javaName, make, message, nclasses, nFoldCV, nFoldWork, nModelsInParallel, nModelsInParallel, nModelsInParallel, numSpecialCols, paramName, rebalance, response, schemaDirectory, separateFeatureVecs, setTrain, shouldReorder, specialColNames, stop_requested, timeout, train, trainModel, trainModelNested, trainModelNested, trainModelOnH2ONode, valid, validationErrors, vresponse, warn
asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonString, write, writeExternal, writeJSON
public Quantile(QuantileModel.QuantileParameters parms)
public Quantile(QuantileModel.QuantileParameters parms, Job job)
protected boolean logMe()
logMe
in class ModelBuilder<QuantileModel,QuantileModel.QuantileParameters,QuantileModel.QuantileOutput>
public boolean isSupervised()
isSupervised
in class ModelBuilder<QuantileModel,QuantileModel.QuantileParameters,QuantileModel.QuantileOutput>
public ModelBuilder.Driver trainModelImpl()
ModelBuilder
trainModelImpl
in class ModelBuilder<QuantileModel,QuantileModel.QuantileParameters,QuantileModel.QuantileOutput>
public hex.ModelCategory[] can_build()
ModelBuilder
can_build
in class ModelBuilder<QuantileModel,QuantileModel.QuantileParameters,QuantileModel.QuantileOutput>
protected int desiredChunks(Frame original_fr, boolean local)
ModelBuilder
desiredChunks
in class ModelBuilder<QuantileModel,QuantileModel.QuantileParameters,QuantileModel.QuantileOutput>
public void init(boolean expensive)
init
in class ModelBuilder<QuantileModel,QuantileModel.QuantileParameters,QuantileModel.QuantileOutput>