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.Output, Model.Parameters| Constructor and Description |
|---|
ClusteringModel(Key selfKey,
P parms,
O output) |
adaptTestForTrain, adaptTestForTrain, addMetrics, addWarning, checksum_impl, cleanup_adapt, defaultThreshold, isSupervised, makeMetricBuilder, remove_impl, score, score, score, score0, score0, score0, score0, scoreImpl, testJavaScoring, toJava, toJava, toJavaCheckTooBig, toJavaInit, toJavaNCLASSES, toJavaPredictBody, toJavaPROB, toJavaSuperdelete_and_lock, delete, delete, delete, read_lock, read_lock, unlock_all, unlock, update, write_lockclone, frozenType, read_impl, read, readExternal, readJSON_impl, readJSON, toJsonString, write_impl, write, writeExternal, writeHTML_impl, writeHTML, writeJSON_impl, writeJSON