com.datumbox.framework.core.common.interfaces

Interface Learnable

All Superinterfaces:

java.io.Serializable

All Known Subinterfaces:

Cluster, ModelParameters

All Known Implementing Classes:

AbstractBoostingBagging.AbstractModelParameters, AbstractClassifier.AbstractModelParameters, AbstractClusterer.AbstractCluster, AbstractClusterer.AbstractModelParameters, AbstractDPMM.AbstractCluster, AbstractDPMM.AbstractModelParameters, AbstractNaiveBayes.AbstractModelParameters, AbstractScaler.AbstractModelParameters, AbstractScoreBasedFeatureSelector.AbstractModelParameters, AbstractTrainer.AbstractModelParameters, Adaboost.ModelParameters, BayesianEnsembleMethod.ModelParameters, BernoulliNaiveBayes.ModelParameters, BinarizedNaiveBayes.ModelParameters, BinaryScaler.ModelParameters, BootstrapAggregating.ModelParameters, ChisquareSelect.ModelParameters, CollaborativeFiltering.ModelParameters, CornerConstraintsEncoder.ModelParameters, GaussianDPMM.Cluster, GaussianDPMM.ModelParameters, HierarchicalAgglomerative.Cluster, HierarchicalAgglomerative.ModelParameters, Kmeans.Cluster, Kmeans.ModelParameters, LatentDirichletAllocation.ModelParameters, MatrixLinearRegression.ModelParameters, MaxAbsScaler.ModelParameters, MaximumEntropy.ModelParameters, MinMaxScaler.ModelParameters, Modeler.ModelParameters, MultinomialDPMM.Cluster, MultinomialDPMM.ModelParameters, MultinomialNaiveBayes.ModelParameters, MutualInformation.ModelParameters, NLMS.ModelParameters, OneHotEncoder.ModelParameters, OrdinalRegression.ModelParameters, PCA.ModelParameters, SoftMaxRegression.ModelParameters, StandardScaler.ModelParameters, StepwiseRegression.ModelParameters, SupportVectorMachine.ModelParameters, TextClassifier.ModelParameters, TFIDF.ModelParameters

public interface Learnable
extends java.io.Serializable

This interface is used to mark classes which store parameters that are learned during training.