com.datumbox.framework.core.machinelearning.common.interfaces

Interface Parallelizable

All Known Subinterfaces:

PredictParallelizable, TrainParallelizable

All Known Implementing Classes:

AbstractCountBasedFeatureSelector, AbstractDPMM, AbstractEncoder, AbstractFeatureSelector, AbstractNaiveBayes, AbstractScaler, AbstractScoreBasedFeatureSelector, AbstractTransformer, BayesianEnsembleMethod, BernoulliNaiveBayes, BinarizedNaiveBayes, BinaryScaler, ChisquareSelect, CornerConstraintsEncoder, GaussianDPMM, HierarchicalAgglomerative, Kmeans, MaxAbsScaler, MaximumEntropy, MinMaxScaler, Modeler, MultinomialDPMM, MultinomialNaiveBayes, MutualInformation, NLMS, OneHotEncoder, OrdinalRegression, PCA, SoftMaxRegression, StandardScaler, SupportVectorMachine, TextClassifier, TFIDF

public interface Parallelizable

All algorithms capable of using parallelism implement this interface.

Method Summary

Modifier and Type	Method and Description
boolean	isParallelized() Getter for the parallelized parameter.
void	setParallelized(boolean parallelized) Setter for the parallelized parameter.

Method Detail

isParallelized

boolean isParallelized()

Getter for the parallelized parameter.

Returns:

setParallelized

void setParallelized(boolean parallelized)

Setter for the parallelized parameter.

Parameters:

parallelized -