public class QuantileModel extends Model<QuantileModel,QuantileModel.QuantileParameters,QuantileModel.QuantileOutput>
| Modifier and Type | Class and Description |
|---|---|
static class |
QuantileModel.CombineMethod |
static class |
QuantileModel.QuantileOutput |
static class |
QuantileModel.QuantileParameters |
Model.AdaptFrameParameters, Model.BigScore, Model.BigScoreChunkPredict, Model.BigScorePredict, Model.Contributions, Model.DeepFeatures, Model.ExemplarMembers, Model.FeatureFrequencies, Model.GetMostImportantFeatures, Model.GetNTrees, Model.GLRMArchetypes, Model.GridSortBy, Model.H2OModelDescriptor, Model.InteractionBuilder, Model.InteractionPair, Model.InteractionSpec, Model.JavaModelStreamWriter, Model.JavaScoringOptions, Model.LeafNodeAssignment, Model.Output, Model.Parameters, Model.PredictScoreResult, Model.RowToTreeAssignment, Model.StagedPredictions, Model.UpdateAuxTreeWeights_dist, _input_parms, _output, _parms, _toDelete, _warnings, _warningsP, EVAL_AUTO_PARAMS_ENABLED, evalAutoParamsEnabled, scoringInfo| Modifier and Type | Method and Description |
|---|---|
ModelMetrics.MetricBuilder |
makeMetricBuilder(java.lang.String[] domain) |
protected double[] |
score0(double[] data,
double[] preds)
Subclasses implement the scoring logic.
|
adaptFrameForScore, adaptTestForJavaScoring, adaptTestForTrain, adaptTestForTrain, adaptTestForTrain, addMetrics, addModelMetrics, addWarning, auc, AUCPR, checksum_impl, classification_error, compareTo, computeDeviances, containsResponse, data, defaultThreshold, defaultThreshold, deleteCrossValidationFoldAssignment, deleteCrossValidationModels, deleteCrossValidationPreds, deviance, deviance, evaluateAutoModelParameters, exportBinaryModel, exportMojo, fetchAll, fillScoringInfo, getDefaultGridSortBy, getGenModelEncoding, getMojo, getPojoInterfaces, getToEigenVec, haveMojo, havePojo, importBinaryModel, initActualParamValues, isDistributionHuber, isFeatureUsedInPredict, isFeatureUsedInPredict, isSupervised, last_scored, lift_top_group, likelihood, logloss, loss, mae, makeAdaptFrameParameters, makeBigScoreTask, makeInteraction, makeInteractions, makeInteractions, makePojoWriter, makeSchema, makeScoringDomains, makeScoringNames, makeScoringNames, mean_per_class_error, modelDescriptor, mse, needsPostProcess, postProcessPredictions, predictScoreImpl, r2, readAll_impl, remove_impl, resetThreshold, result, rmsle, score, score, score, score, score, score, score, score0, 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, writeAll_impl, writeTodelete_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_lockchecksum_impl, checksum, checksum, getKey, readAll, remove_impl, remove_self_key_impl, remove, remove, remove, remove, remove, remove, removeQuietly, writeAllasBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonBytes, toJsonString, write, writeExternal, writeJSONpublic ModelMetrics.MetricBuilder makeMetricBuilder(java.lang.String[] domain)
makeMetricBuilder in class Model<QuantileModel,QuantileModel.QuantileParameters,QuantileModel.QuantileOutput>protected double[] score0(double[] data,
double[] preds)
Modelscore0 in class Model<QuantileModel,QuantileModel.QuantileParameters,QuantileModel.QuantileOutput>