Uses of Class
de.jstacs.results.ResultSet

Packages that use ResultSet

de.jstacs.classifiers	This package provides the framework for any classifier.
de.jstacs.classifiers.performanceMeasures	This package provides the implementations of performance measures that can be used to assess any classifier
de.jstacs.classifiers.trainSMBased	Provides the classes for Classifiers that are based on TrainableStatisticalModels
de.jstacs.data.sequences.annotation	Provides the facilities to annotate Sequences using a number of pre-defined annotation types, or additional implementations of the SequenceAnnotation class
de.jstacs.results	This package provides classes for results and sets of results.
de.jstacs.sequenceScores	Provides all SequenceScores, which can be used to score a Sequence, typically using some model assumptions.
de.jstacs.sequenceScores.differentiable
de.jstacs.sequenceScores.statisticalModels.trainable	Provides all TrainableStatisticalModels, which can be learned from a single DataSet.
de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models	The package provides different implementations of hidden Markov models based on AbstractHMM
de.jstacs.sequenceScores.statisticalModels.trainable.mixture	This package is the super package for any mixture model.
de.jstacs.utils.galaxy

Uses of ResultSet in de.jstacs.classifiers

Methods in de.jstacs.classifiers that return ResultSet

ResultSet	AbstractClassifier.evaluate(PerformanceMeasureParameterSet params, boolean exceptionIfNotComputeable, DataSet... s) This method evaluates the classifier and computes, for instance, the sensitivity for a given specificity, the area under the ROC curve and so on.
ResultSet	AbstractClassifier.getCharacteristics() Returns some information characterizing or describing the current instance of the classifier.

Uses of ResultSet in de.jstacs.classifiers.performanceMeasures

Methods in de.jstacs.classifiers.performanceMeasures that return ResultSet

ResultSet	TwoClassAbstractPerformanceMeasure.compute(double[][][] classSpecificScores)
ResultSet	ConfusionMatrix.compute(double[][][] classSpecificScores)
abstract ResultSet	AbstractPerformanceMeasure.compute(double[][][] classSpecificScores) This method allows to compute the performance measure of given class specific scores.
ResultSet	ROCCurve.compute(double[] sortedScoresClass0, double[] sortedScoresClass1)
ResultSet	PRCurve.compute(double[] sortedScoresClass0, double[] sortedScoresClass1)
ResultSet	ConfusionMatrix.compute(double[] sortedScoresClass0, double[] sortedScoresClass1)
abstract ResultSet	AbstractPerformanceMeasure.compute(double[] sortedScoresClass0, double[] sortedScoresClass1) This method allows to compute the performance measure of given sorted score ratios.

Uses of ResultSet in de.jstacs.classifiers.trainSMBased

Methods in de.jstacs.classifiers.trainSMBased that return ResultSet

ResultSet

TrainSMBasedClassifier.getCharacteristics()

Uses of ResultSet in de.jstacs.data.sequences.annotation

Subclasses of ResultSet in de.jstacs.data.sequences.annotation

class	CisRegulatoryModuleAnnotation Annotation for a cis-regulatory module as defined by a set of MotifAnnotations of the motifs in the module.
class	IntronAnnotation Annotation class for an intron as defined by a donor and an acceptor splice site.
class	LocatedSequenceAnnotation Class for a SequenceAnnotation that has a position on the sequence, e.g for transcription start sites or intron-exon junctions.
class	LocatedSequenceAnnotationWithLength Class for a SequenceAnnotation that has a position on the sequence and a length, e.g. for donor splice sites, exons or genes.
class	MotifAnnotation Class for a StrandedLocatedSequenceAnnotationWithLength that is a motif.
class	ReferenceSequenceAnnotation This class implements a SequenceAnnotation that contains a reference sequence.
class	SequenceAnnotation Class for a general annotation of a Sequence.
class	SinglePositionSequenceAnnotation Class for some annotations that consist mainly of one position on a sequence.
class	StrandedLocatedSequenceAnnotationWithLength Class for a SequenceAnnotation that has a position, a length and an orientation on the strand of a Sequence.

Uses of ResultSet in de.jstacs.results

Subclasses of ResultSet in de.jstacs.results

class	MeanResultSet Class that computes the mean and the standard error of a series of NumericalResultSets.
class	NumericalResultSet Class for a set of numerical result values, which are all of the type NumericalResult.

Fields in de.jstacs.results declared as ResultSet

protected ResultSet[]

ListResult.list The internal list of ResultSets that are part of this ListResult

Methods in de.jstacs.results that return ResultSet

ResultSet	ListResult.getAnnotation() Returns a reference to the annotation of this ListResult.
ResultSet	MeanResultSet.getInfos() Returns some information for this MeanResultSet.
ResultSet[]	ListResult.getRawResult() Returns a copy of the internal list of ResultSets.
ResultSet[]	ListResult.getValue()

Constructors in de.jstacs.results with parameters of type ResultSet

ListResult(String name, String comment, ResultSet annotation, ResultSet... results)
Creates a new ListResult from an array of ResultSets and a ResultSet of annotations, which may provide additional information on this ListResult.

ListResult(String name, String comment, ResultSet annotation, ResultSet... results)
Creates a new ListResult from an array of ResultSets and a ResultSet of annotations, which may provide additional information on this ListResult.

Uses of ResultSet in de.jstacs.sequenceScores

Methods in de.jstacs.sequenceScores that return ResultSet

ResultSet

SequenceScore.getCharacteristics() Returns some information characterizing or describing the current instance.

Uses of ResultSet in de.jstacs.sequenceScores.differentiable

Methods in de.jstacs.sequenceScores.differentiable that return ResultSet

ResultSet

AbstractDifferentiableSequenceScore.getCharacteristics()

Uses of ResultSet in de.jstacs.sequenceScores.statisticalModels.trainable

Methods in de.jstacs.sequenceScores.statisticalModels.trainable that return ResultSet

ResultSet	CompositeTrainSM.getCharacteristics()
ResultSet	AbstractTrainableStatisticalModel.getCharacteristics()

Uses of ResultSet in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models

Methods in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models that return ResultSet

ResultSet

HigherOrderHMM.getCharacteristics()

Uses of ResultSet in de.jstacs.sequenceScores.statisticalModels.trainable.mixture

Methods in de.jstacs.sequenceScores.statisticalModels.trainable.mixture that return ResultSet

ResultSet

AbstractMixtureTrainSM.getCharacteristics()

Uses of ResultSet in de.jstacs.utils.galaxy

Methods in de.jstacs.utils.galaxy with parameters of type ResultSet

void	GalaxyAdaptor.addResultSet(ResultSet res, boolean exportAll, boolean includeInSummary) Adds a set of results to the results of a program run.