Uses of Class
org.tribuo.clustering.kmeans.KMeansModel
Packages that use KMeansModel
Package
Description
Provides a multithreaded implementation of K-Means, with a
configurable distance function.
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Uses of KMeansModel in org.tribuo.clustering.kmeans
Methods in org.tribuo.clustering.kmeans that return KMeansModelModifier and TypeMethodDescriptionprotected KMeansModel
KMeansModel.copy
(String newName, ModelProvenance newProvenance) static KMeansModel
KMeansModel.deserializeFromProto
(int version, String className, com.google.protobuf.Any message) Deserialization factory.KMeansTrainer.train
(Dataset<ClusterID> examples, Map<String, com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance) KMeansTrainer.train
(Dataset<ClusterID> examples, Map<String, com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance, int invocationCount)