public class RuleFitModel extends hex.Model<RuleFitModel,RuleFitModel.RuleFitParameters,RuleFitModel.RuleFitOutput> implements hex.SignificantRulesCollector
| Modifier and Type | Class and Description |
|---|---|
static class |
RuleFitModel.Algorithm |
static class |
RuleFitModel.ModelType |
static class |
RuleFitModel.RuleFitOutput |
static class |
RuleFitModel.RuleFitParameters |
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 |
|---|
RuleFitModel(water.Key<RuleFitModel> selfKey,
RuleFitModel.RuleFitParameters parms,
RuleFitModel.RuleFitOutput output,
GLMModel glmModel,
RuleEnsemble ruleEnsemble) |
| Modifier and Type | Method and Description |
|---|---|
RuleFitMojoWriter |
getMojo() |
water.util.TwoDimTable |
getRuleImportanceTable() |
hex.ToEigenVec |
getToEigenVec() |
boolean |
haveMojo() |
hex.ModelMetrics.MetricBuilder |
makeMetricBuilder(java.lang.String[] domain) |
water.fvec.Frame |
predictRules(water.fvec.Frame frame,
java.lang.String[] ruleIds) |
protected water.Futures |
remove_impl(water.Futures fs,
boolean cascade) |
water.fvec.Frame |
score(water.fvec.Frame fr,
java.lang.String destination_key,
water.Job j,
boolean computeMetrics,
water.udf.CFuncRef customMetricFunc) |
protected double[] |
score0(double[] data,
double[] preds) |
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, havePojo, importBinaryModel, initActualParamValues, isDistributionHuber, isFeatureUsedInPredict, isFeatureUsedInPredict, isGeneric, 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, 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_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, writeAllpublic RuleFitModel(water.Key<RuleFitModel> selfKey, RuleFitModel.RuleFitParameters parms, RuleFitModel.RuleFitOutput output, GLMModel glmModel, RuleEnsemble ruleEnsemble)
public hex.ToEigenVec getToEigenVec()
getToEigenVec in class hex.Model<RuleFitModel,RuleFitModel.RuleFitParameters,RuleFitModel.RuleFitOutput>public hex.ModelMetrics.MetricBuilder makeMetricBuilder(java.lang.String[] domain)
makeMetricBuilder in class hex.Model<RuleFitModel,RuleFitModel.RuleFitParameters,RuleFitModel.RuleFitOutput>protected double[] score0(double[] data,
double[] preds)
score0 in class hex.Model<RuleFitModel,RuleFitModel.RuleFitParameters,RuleFitModel.RuleFitOutput>public water.fvec.Frame score(water.fvec.Frame fr,
java.lang.String destination_key,
water.Job j,
boolean computeMetrics,
water.udf.CFuncRef customMetricFunc)
throws java.lang.IllegalArgumentException
score in class hex.Model<RuleFitModel,RuleFitModel.RuleFitParameters,RuleFitModel.RuleFitOutput>java.lang.IllegalArgumentExceptionprotected water.Futures remove_impl(water.Futures fs,
boolean cascade)
remove_impl in class hex.Model<RuleFitModel,RuleFitModel.RuleFitParameters,RuleFitModel.RuleFitOutput>public RuleFitMojoWriter getMojo()
getMojo in class hex.Model<RuleFitModel,RuleFitModel.RuleFitParameters,RuleFitModel.RuleFitOutput>public boolean haveMojo()
haveMojo in class hex.Model<RuleFitModel,RuleFitModel.RuleFitParameters,RuleFitModel.RuleFitOutput>public water.fvec.Frame predictRules(water.fvec.Frame frame,
java.lang.String[] ruleIds)
public water.util.TwoDimTable getRuleImportanceTable()
getRuleImportanceTable in interface hex.SignificantRulesCollector