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 |
|---|---|
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.GLRMArchetypes, Model.JavaModelStreamWriter, Model.LeafNodeAssignment, Model.Output, Model.Parameters_output, _parms, _warnings, scoringInfo| Constructor and Description |
|---|
ClusteringModel(Key selfKey,
P parms,
O output) |
adaptTestForTrain, adaptTestForTrain, addMetrics, addWarning, auc, checksum_impl, classification_error, cleanup_adapt, compareTo, defaultThreshold, deleteCrossValidationModels, deviance, deviance, fillScoringInfo, isSupervised, last_scored, logloss, loss, makeMetricBuilder, makeSchema, 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_impldelete_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_lockchecksum, readAll, remove, remove, remove, remove, writeAllclone, copyOver, frozenType, read_impl, read, readExternal, readJSON_impl, readJSON, toJsonString, write_impl, write, writeExternal, writeJSON_impl, writeJSON