Uses of Class
org.apache.ignite.ml.clustering.kmeans.KMeansModel

Packages that use KMeansModel

Package	Description
org.apache.ignite.ml.clustering.kmeans	Contains kMeans clustering algorithm.

Uses of KMeansModel in org.apache.ignite.ml.clustering.kmeans

Methods in org.apache.ignite.ml.clustering.kmeans that return KMeansModel

Modifier and Type	Method and Description
<K,V> KMeansModel	KMeansTrainer.fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,Vector> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Trains model based on the specified data.
protected <K,V> KMeansModel	KMeansTrainer.updateModel(KMeansModel mdl, DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,Vector> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Gets state of model in arguments, update in according to new data and return new model.

Methods in org.apache.ignite.ml.clustering.kmeans with parameters of type KMeansModel

Modifier and Type	Method and Description
protected boolean	KMeansTrainer.checkState(KMeansModel mdl)
protected <K,V> KMeansModel	KMeansTrainer.updateModel(KMeansModel mdl, DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,Vector> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Gets state of model in arguments, update in according to new data and return new model.