public class UpliftDRFModel extends SharedTreeModel<UpliftDRFModel,UpliftDRFModel.UpliftDRFParameters,UpliftDRFModel.UpliftDRFOutput>
Modifier and Type | Class and Description |
---|---|
static class |
UpliftDRFModel.UpliftDRFOutput |
static class |
UpliftDRFModel.UpliftDRFParameters |
SharedTreeModel.BufStringDecisionPathTracker, SharedTreeModel.SharedTreeOutput, SharedTreeModel.SharedTreeParameters
hex.Model.AdaptFrameParameters, hex.Model.BigScore, hex.Model.BigScoreChunkPredict, hex.Model.BigScorePredict, hex.Model.Contributions, hex.Model.DeepFeatures, hex.Model.ExemplarMembers, hex.Model.FeatureFrequencies, hex.Model.GetMostImportantFeatures, hex.Model.GetNTrees, hex.Model.GLRMArchetypes, hex.Model.GridSortBy, hex.Model.H2OModelDescriptor, hex.Model.InteractionBuilder, hex.Model.InteractionPair, hex.Model.InteractionSpec, hex.Model.JavaModelStreamWriter, hex.Model.JavaScoringOptions, hex.Model.LeafNodeAssignment, hex.Model.Output, hex.Model.Parameters, hex.Model.PredictScoreResult, hex.Model.RowToTreeAssignment, hex.Model.StagedPredictions, hex.Model.UpdateAuxTreeWeights
Constructor and Description |
---|
UpliftDRFModel(water.Key<UpliftDRFModel> selfKey,
UpliftDRFModel.UpliftDRFParameters parms,
UpliftDRFModel.UpliftDRFOutput output) |
Modifier and Type | Method and Description |
---|---|
boolean |
binomialOpt() |
UpliftDrfMojoWriter |
getMojo() |
void |
initActualParamValues() |
hex.ModelMetrics.MetricBuilder |
makeMetricBuilder(java.lang.String[] domain) |
protected double[] |
score0(double[] data,
double[] preds,
double offset,
int ntrees)
Bulk scoring API for one row.
|
deepClone, getGenModelEncoding, getMostImportantFeatures, getSharedTreeSubgraph, getToEigenVec, isFeatureUsedInPredict, makeAllTreeColumnNames, makePojoWriter, makeTreePojoWriter, postProcessPredictions, readAll_impl, remove_impl, score0, score0, score0, score0Incremental, scoreFeatureFrequencies, scoreLeafNodeAssignment, updateAuxTreeWeights, writeAll_impl
adaptFrameForScore, adaptTestForJavaScoring, adaptTestForTrain, adaptTestForTrain, adaptTestForTrain, addMetrics, addModelMetrics, addWarning, aic, auc, AUCPR, checksum_impl, classification_error, compareTo, computeDeviances, containsResponse, data, defaultThreshold, defaultThreshold, deleteCrossValidationFoldAssignment, deleteCrossValidationModels, deleteCrossValidationPreds, deviance, deviance, evaluateAutoModelParameters, exportBinaryModel, exportMojo, fetchAll, fillScoringInfo, getDefaultGridSortBy, getPojoInterfaces, haveMojo, havePojo, importBinaryModel, isDistributionHuber, isFeatureUsedInPredict, isGeneric, isSupervised, last_scored, lift_top_group, likelihood, logloss, loss, mae, makeAdaptFrameParameters, makeBigScoreTask, makeInteraction, makeInteractions, makeInteractions, makeSchema, makeScoringDomains, makeScoringNames, makeScoringNames, mean_per_class_error, modelDescriptor, mse, needsPostProcess, predictScoreImpl, r2, resetThreshold, result, rmsle, score, score, score, score, score, score, score, score, score0, score0, score0PostProcessSupervised, scoreMetrics, scoring_history, scoringDomains, setInputParms, setupBigScorePredict, testJavaScoring, testJavaScoring, testJavaScoring, testJavaScoring, testJavaScoring, toJava, toJava, toJava, toJavaAlgo, toJavaCheckTooBig, toJavaInit, toJavaModelClassName, toJavaPredictBody, toJavaTransform, toJavaUUID, toMojo, toMojo, toString, transform, uploadBinaryModel, writeTo
delete_and_lock, delete_and_lock, delete_and_lock, delete_and_lock, delete, delete, delete, delete, read_lock, read_lock, read_lock, unlock_all, unlock, unlock, unlock, unlock, update, update, update, write_lock_to_read_lock, write_lock, write_lock, write_lock
checksum_impl, checksum, checksum, getKey, readAll, remove_impl, remove_self_key_impl, remove, remove, remove, remove, remove, remove, removeQuietly, writeAll
public UpliftDRFModel(water.Key<UpliftDRFModel> selfKey, UpliftDRFModel.UpliftDRFParameters parms, UpliftDRFModel.UpliftDRFOutput output)
public void initActualParamValues()
initActualParamValues
in class hex.Model<UpliftDRFModel,UpliftDRFModel.UpliftDRFParameters,UpliftDRFModel.UpliftDRFOutput>
public boolean binomialOpt()
protected double[] score0(double[] data, double[] preds, double offset, int ntrees)
score0
in class SharedTreeModel<UpliftDRFModel,UpliftDRFModel.UpliftDRFParameters,UpliftDRFModel.UpliftDRFOutput>
public hex.ModelMetrics.MetricBuilder makeMetricBuilder(java.lang.String[] domain)
public UpliftDrfMojoWriter getMojo()
getMojo
in class hex.Model<UpliftDRFModel,UpliftDRFModel.UpliftDRFParameters,UpliftDRFModel.UpliftDRFOutput>