public class IsotonicRegressionModel extends hex.Model<IsotonicRegressionModel,IsotonicRegressionModel.IsotonicRegressionParameters,IsotonicRegressionModel.IsotonicRegressionOutput>
Modifier and Type | Class and Description |
---|---|
static class |
IsotonicRegressionModel.IsotonicRegressionOutput |
static class |
IsotonicRegressionModel.IsotonicRegressionParameters |
static class |
IsotonicRegressionModel.OutOfBoundsHandling |
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 |
---|
IsotonicRegressionModel(water.Key<IsotonicRegressionModel> selfKey,
IsotonicRegressionModel.IsotonicRegressionParameters parms,
IsotonicRegressionModel.IsotonicRegressionOutput output) |
Modifier and Type | Method and Description |
---|---|
IsotonicRegressionMojoWriter |
getMojo() |
boolean |
haveMojo() |
protected hex.Model.BigScore |
makeBigScoreTask(java.lang.String[][] domains,
java.lang.String[] names,
water.fvec.Frame adaptFrm,
boolean computeMetrics,
boolean makePrediction,
water.Job j,
water.udf.CFuncRef customMetricFunc) |
hex.ModelMetrics.MetricBuilder |
makeMetricBuilder(java.lang.String[] domain) |
protected java.lang.String[][] |
makeScoringDomains(water.fvec.Frame adaptFrm,
boolean computeMetrics,
java.lang.String[] names) |
protected java.lang.String[] |
makeScoringNames() |
protected double[] |
score0(double[] data,
double[] preds) |
hex.genmodel.algos.isotonic.IsotonicCalibrator |
toIsotonicCalibrator() |
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, getGenModelEncoding, getPojoInterfaces, getToEigenVec, havePojo, importBinaryModel, initActualParamValues, isDistributionHuber, isFeatureUsedInPredict, isFeatureUsedInPredict, isGeneric, isSupervised, last_scored, lift_top_group, likelihood, logloss, loss, mae, makeAdaptFrameParameters, makeInteraction, makeInteractions, makeInteractions, makePojoWriter, makeSchema, 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, 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, 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 IsotonicRegressionModel(water.Key<IsotonicRegressionModel> selfKey, IsotonicRegressionModel.IsotonicRegressionParameters parms, IsotonicRegressionModel.IsotonicRegressionOutput output)
protected hex.Model.BigScore makeBigScoreTask(java.lang.String[][] domains, java.lang.String[] names, water.fvec.Frame adaptFrm, boolean computeMetrics, boolean makePrediction, water.Job j, water.udf.CFuncRef customMetricFunc)
makeBigScoreTask
in class hex.Model<IsotonicRegressionModel,IsotonicRegressionModel.IsotonicRegressionParameters,IsotonicRegressionModel.IsotonicRegressionOutput>
public hex.ModelMetrics.MetricBuilder makeMetricBuilder(java.lang.String[] domain)
makeMetricBuilder
in class hex.Model<IsotonicRegressionModel,IsotonicRegressionModel.IsotonicRegressionParameters,IsotonicRegressionModel.IsotonicRegressionOutput>
protected double[] score0(double[] data, double[] preds)
score0
in class hex.Model<IsotonicRegressionModel,IsotonicRegressionModel.IsotonicRegressionParameters,IsotonicRegressionModel.IsotonicRegressionOutput>
protected java.lang.String[] makeScoringNames()
makeScoringNames
in class hex.Model<IsotonicRegressionModel,IsotonicRegressionModel.IsotonicRegressionParameters,IsotonicRegressionModel.IsotonicRegressionOutput>
protected java.lang.String[][] makeScoringDomains(water.fvec.Frame adaptFrm, boolean computeMetrics, java.lang.String[] names)
makeScoringDomains
in class hex.Model<IsotonicRegressionModel,IsotonicRegressionModel.IsotonicRegressionParameters,IsotonicRegressionModel.IsotonicRegressionOutput>
public hex.genmodel.algos.isotonic.IsotonicCalibrator toIsotonicCalibrator()
public boolean haveMojo()
haveMojo
in class hex.Model<IsotonicRegressionModel,IsotonicRegressionModel.IsotonicRegressionParameters,IsotonicRegressionModel.IsotonicRegressionOutput>
public IsotonicRegressionMojoWriter getMojo()
getMojo
in class hex.Model<IsotonicRegressionModel,IsotonicRegressionModel.IsotonicRegressionParameters,IsotonicRegressionModel.IsotonicRegressionOutput>