Uses of Class
org.apache.ignite.ml.clustering.gmm.GmmTrainer

Packages that use GmmTrainer

Package	Description
org.apache.ignite.ml.clustering.gmm	Contains Gauss Mixture Model clustering algorithm (see GmmModel).

Uses of GmmTrainer in org.apache.ignite.ml.clustering.gmm

Methods in org.apache.ignite.ml.clustering.gmm that return GmmTrainer

Modifier and Type	Method and Description
GmmTrainer	GmmTrainer.withEps(double eps) Sets min divergence beween iterations.
GmmTrainer	GmmTrainer.withInitialCountOfComponents(int numberOfComponents) Sets numberOfComponents.
GmmTrainer	GmmTrainer.withInitialMeans(List<Vector> means) Sets initial means.
GmmTrainer	GmmTrainer.withMaxCountIterations(int maxCountOfIterations) Sets max count of iterations
GmmTrainer	GmmTrainer.withMaxCountOfClusters(int maxCountOfClusters) Sets maximum number of clusters in GMM.
GmmTrainer	GmmTrainer.withMaxCountOfInitTries(int maxCountOfInitTries) Sets MaxCountOfInitTries parameter.
GmmTrainer	GmmTrainer.withMaxLikelihoodDivergence(double maxLikelihoodDivergence) Sets maximum divergence between maximum of likelihood of vector in dataset and other for anomalies identification.
GmmTrainer	GmmTrainer.withMinClusterProbability(double minClusterProbability) Sets minimum requred probability for cluster.
GmmTrainer	GmmTrainer.withMinElementsForNewCluster(int minElementsForNewCluster) Sets minimum required anomalies in terms of maxLikelihoodDivergence for creating new cluster.