com.datumbox.framework.core.common.interfaces
Interface Parameterizable
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- All Superinterfaces:
- java.io.Serializable
- All Known Subinterfaces:
- TrainingParameters
- All Known Implementing Classes:
- AbstractBoostingBagging.AbstractTrainingParameters, AbstractDPMM.AbstractTrainingParameters, AbstractNaiveBayes.AbstractTrainingParameters, AbstractScaler.AbstractTrainingParameters, AbstractScoreBasedFeatureSelector.AbstractTrainingParameters, AbstractTextExtractor.AbstractParameters, AbstractTrainer.AbstractTrainingParameters, Adaboost.TrainingParameters, BayesianEnsembleMethod.TrainingParameters, BernoulliNaiveBayes.TrainingParameters, BinarizedNaiveBayes.TrainingParameters, BinaryScaler.TrainingParameters, BootstrapAggregating.TrainingParameters, CETR.Parameters, ChisquareSelect.TrainingParameters, CollaborativeFiltering.TrainingParameters, CornerConstraintsEncoder.TrainingParameters, GaussianDPMM.TrainingParameters, HierarchicalAgglomerative.TrainingParameters, Kmeans.TrainingParameters, LatentDirichletAllocation.TrainingParameters, MatrixLinearRegression.TrainingParameters, MaxAbsScaler.TrainingParameters, MaximumEntropy.TrainingParameters, MinMaxScaler.TrainingParameters, Modeler.TrainingParameters, MultinomialDPMM.TrainingParameters, MultinomialNaiveBayes.TrainingParameters, MutualInformation.TrainingParameters, NgramsExtractor.Parameters, NLMS.TrainingParameters, OneHotEncoder.TrainingParameters, OrdinalRegression.TrainingParameters, PCA.TrainingParameters, SoftMaxRegression.TrainingParameters, StandardScaler.TrainingParameters, StepwiseRegression.TrainingParameters, SupportVectorMachine.TrainingParameters, TextClassifier.TrainingParameters, TFIDF.TrainingParameters, UniqueWordSequenceExtractor.Parameters, WordSequenceExtractor.Parameters
public interface Parameterizable extends java.io.SerializableThis interface is used to mark classes that work as wrappers/containers of fields that parameterize other algorithms.
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