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
|
static class |
ClusteringModel.ClusteringParameters
Clustering Model Parameters includes the number of clusters desired
|
Model.DeepFeatures, Model.ExemplarMembers, Model.GLRMArchetypes, Model.InteractionPair, Model.JavaModelStreamWriter, Model.LeafNodeAssignment, Model.Output, Model.Parameters
Constructor and Description |
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ClusteringModel(Key selfKey,
P parms,
O output) |
adaptTestForTrain, adaptTestForTrain, addMetrics, addWarning, auc, checksum_impl, classification_error, cleanup_adapt, compareTo, defaultThreshold, deleteCrossValidationModels, deviance, deviance, fillScoringInfo, getToEigenVec, isSupervised, last_scored, lift_top_group, logloss, loss, mae, makeInteraction, makeInteractions, makeInteractions, makeMetricBuilder, makeSchema, makeScoringNames, mean_per_class_error, mse, predictScoreImpl, readAll_impl, remove_impl, score, score, score, score, score0, score0, score0, score0, scoreMetrics, scoring_history, scoringDomains, testJavaScoring, toJava, toJava, toJava, toJavaCheckTooBig, toJavaInit, toJavaNCLASSES, toJavaPredictBody, toJavaPROB, toJavaSuper, toString, writeAll_impl
delete_and_lock, delete_and_lock, delete_and_lock, delete, delete, delete, read_lock, read_lock, read_lock, unlock_all, unlock, unlock, unlock, unlock, update, update, update, write_lock, write_lock, write_lock
checksum, readAll, remove, remove, remove, remove, writeAll
asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonString, write, writeExternal, writeJSON