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.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 |
---|
Quantile(QuantileModel.QuantileParameters parms) |
Quantile(QuantileModel.QuantileParameters parms,
Job job) |
Modifier and Type | Method and Description |
---|---|
static double |
calcQuantile(Vec v,
double quantile) |
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.
|
boolean |
haveMojo() |
boolean |
havePojo() |
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, 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, 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, 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, trainModelNested, trainModelNested, trainModelOnH2ONode, valid, validateBinaryResponse, validateStoppingMetric, validationErrors, validationWarnings, vresponse, warn
asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonBytes, 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>
public boolean haveMojo()
haveMojo
in class ModelBuilder<QuantileModel,QuantileModel.QuantileParameters,QuantileModel.QuantileOutput>
public boolean havePojo()
havePojo
in class ModelBuilder<QuantileModel,QuantileModel.QuantileParameters,QuantileModel.QuantileOutput>
public static double calcQuantile(Vec v, double quantile)