Package org.encog.ml.importance

Interface Summary

Interface	Description
FeatureImportance	Defines an interface for classes that are used to rank the importance of the input features to a model.

Class Summary

Class	Description
AbstractFeatureImportance	Provides basic functionality for a feature ranking algorithm.
CorrelationFeatureImportanceCalc	Compute feature importance using correlation between each of the features and the target.
FeatureRank	The ranking/importance of an individual feature.
NeuralFeatureImportanceCalc	A feature ranking algorithm based on the weights of a neural network.
PerturbationFeatureImportanceCalc	perturbation feature encoding can be used to determine the importance of features for any type of regression or classification model, with any compatible dataset.