public abstract class ClusteringModel<M extends ClusteringModel<M,P,O>,P extends ClusteringModel.ClusteringParameters,O extends ClusteringModel.ClusteringOutput> extends Model<M,P,O>
Modifier and Type | Class and Description |
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static class |
ClusteringModel.ClusteringOutput
Output from all Clustering Models, includes generated clusters
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static class |
ClusteringModel.ClusteringParameters
Clustering Model Parameters includes the number of clusters desired
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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
Constructor and Description |
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ClusteringModel(Key selfKey,
P parms,
O output) |
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, makeMetricBuilder, 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, 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, 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
asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonBytes, toJsonString, write, writeExternal, writeJSON