public class AggregatorModel extends hex.Model<AggregatorModel,AggregatorModel.AggregatorParameters,AggregatorModel.AggregatorOutput> implements hex.Model.ExemplarMembers
Modifier and Type | Class and Description |
---|---|
static class |
AggregatorModel.AggregatorOutput |
static class |
AggregatorModel.AggregatorParameters |
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
Modifier and Type | Field and Description |
---|---|
long[] |
_counts |
water.Key<water.fvec.Vec> |
_exemplar_assignment_vec_key |
Aggregator.Exemplar[] |
_exemplars |
Constructor and Description |
---|
AggregatorModel(water.Key selfKey,
AggregatorModel.AggregatorParameters parms,
AggregatorModel.AggregatorOutput output) |
Modifier and Type | Method and Description |
---|---|
void |
checkConsistency() |
water.fvec.Frame |
createFrameOfExemplars(water.fvec.Frame orig,
water.Key destination_key) |
water.fvec.Frame |
createMappingOfExemplars(water.Key destinationKey) |
hex.ToEigenVec |
getToEigenVec() |
hex.ModelMetrics.MetricBuilder |
makeMetricBuilder(java.lang.String[] domain) |
protected hex.Model.PredictScoreResult |
predictScoreImpl(water.fvec.Frame orig,
water.fvec.Frame adaptedFr,
java.lang.String destination_key,
water.Job j,
boolean computeMetrics,
water.udf.CFuncRef customMetricFunc) |
protected water.Futures |
remove_impl(water.Futures fs,
boolean cascade) |
protected double[] |
score0(double[] data,
double[] preds) |
water.fvec.Frame |
scoreExemplarMembers(water.Key<water.fvec.Frame> destination_key,
int exemplarIdx) |
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, getMojo, getPojoInterfaces, haveMojo, 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, r2, readAll_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 Aggregator.Exemplar[] _exemplars
public long[] _counts
public water.Key<water.fvec.Vec> _exemplar_assignment_vec_key
public AggregatorModel(water.Key selfKey, AggregatorModel.AggregatorParameters parms, AggregatorModel.AggregatorOutput output)
public hex.ToEigenVec getToEigenVec()
getToEigenVec
in class hex.Model<AggregatorModel,AggregatorModel.AggregatorParameters,AggregatorModel.AggregatorOutput>
protected hex.Model.PredictScoreResult predictScoreImpl(water.fvec.Frame orig, water.fvec.Frame adaptedFr, java.lang.String destination_key, water.Job j, boolean computeMetrics, water.udf.CFuncRef customMetricFunc)
predictScoreImpl
in class hex.Model<AggregatorModel,AggregatorModel.AggregatorParameters,AggregatorModel.AggregatorOutput>
protected water.Futures remove_impl(water.Futures fs, boolean cascade)
remove_impl
in class hex.Model<AggregatorModel,AggregatorModel.AggregatorParameters,AggregatorModel.AggregatorOutput>
public hex.ModelMetrics.MetricBuilder makeMetricBuilder(java.lang.String[] domain)
makeMetricBuilder
in class hex.Model<AggregatorModel,AggregatorModel.AggregatorParameters,AggregatorModel.AggregatorOutput>
protected double[] score0(double[] data, double[] preds)
score0
in class hex.Model<AggregatorModel,AggregatorModel.AggregatorParameters,AggregatorModel.AggregatorOutput>
public water.fvec.Frame createFrameOfExemplars(water.fvec.Frame orig, water.Key destination_key)
public water.fvec.Frame createMappingOfExemplars(water.Key destinationKey)
public water.fvec.Frame scoreExemplarMembers(water.Key<water.fvec.Frame> destination_key, int exemplarIdx)
scoreExemplarMembers
in interface hex.Model.ExemplarMembers
public void checkConsistency()