Package ristretto.tools

Some tools to make the experimentation easier

Class Summary

Class	Description
DatasetSplitter	Split a dataset into a training and test datasets given a test proportion, that is, the proportion of data reserved to the test dataset.
FSCrossValidator	Test the results of a Feature Selector via cross-validation
FSErrorRateValidator	Obtain the training and test error rates of the results of a Feature Selector
FSKappaValidator	Obtain the training and test Kappa indices of the results of a Feature Selector
FSParetoFrontAnalyzer	Obtain the relevance of each feature in the whole Pareto front.
FSRanker	Translate a relevances file into a ranks file [1]
FSRelevancesAnalyzer	Gather the relevances from several experiments
FSSensitivityValidator	Obtain the training and test sensitivities of the results of a Feature Selector
FSSpecificityValidator	Obtain the training and test specificities of the results of a Feature Selector
FSStabilitySpearmanScorer	Computes the Spearman score achieved by a set of experiments
KolmogorovSmirnovNormalityTest	Applies a Kolmogorov-Smirnov normality test to a set of values and prints the p-value
RandomFeatureAdder	Append some random features to a training dataset, and also to a test dataset if provided