Uses of Class
de.jstacs.results.ListResult

Packages that use ListResult

de.jstacs.classifiers.assessment	This package allows to assess classifiers. It contains the class ClassifierAssessment that is used as a super-class of all implemented methodologies of an assessment to assess classifiers.
de.jstacs.motifDiscovery	This package provides the framework including the interface for any de novo motif discoverer.
de.jstacs.results	This package provides classes for results and sets of results.

Uses of ListResult in de.jstacs.classifiers.assessment

Methods in de.jstacs.classifiers.assessment that return ListResult

ListResult	ClassifierAssessment.assess(NumericalPerformanceMeasureParameterSet mp, T assessPS, DataSet... s) Assesses the contained classifiers.
ListResult	ClassifierAssessment.assess(NumericalPerformanceMeasureParameterSet mp, T assessPS, ProgressUpdater pU, DataSet[] s) Assesses the contained classifiers.
ListResult	ClassifierAssessment.assess(NumericalPerformanceMeasureParameterSet mp, T assessPS, ProgressUpdater pU, DataSet[][]... s) Assesses the contained classifiers.
ListResult	ClassifierAssessment.assess(NumericalPerformanceMeasureParameterSet mp, T assessPS, ProgressUpdater pU, DataSet[] s, double[][] weights) Assesses the contained classifiers.
ListResult	KFoldCrossValidation.assessWithPredefinedSplits(NumericalPerformanceMeasureParameterSet mp, ClassifierAssessmentAssessParameterSet caaps, ProgressUpdater pU, DataSet[][] splitData, double[][][] splitWeights) This method implements a k-fold crossvalidation on previously split data.

Uses of ListResult in de.jstacs.motifDiscovery

Methods in de.jstacs.motifDiscovery that return ListResult

static ListResult

MotifDiscoveryAssessment.assess(DataSet truth, DataSet prediction, int maxDiff) This method computes the nucleotide and site measures.

Uses of ListResult in de.jstacs.results

Methods in de.jstacs.results that return ListResult

ListResult

ListResult.sort(String columnName) This method enables you to sort the entries of this container by a specified column.