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Packages that use ResultSet | |
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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 Classifier s that are based on TrainableStatisticalModel s |
de.jstacs.data.sequences.annotation | Provides the facilities to annotate Sequence s 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 SequenceScore s, which can be used to score a Sequence , typically using some model assumptions. |
de.jstacs.sequenceScores.differentiable | |
de.jstacs.sequenceScores.statisticalModels.trainable | Provides all TrainableStatisticalModel s, 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 |
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Methods in de.jstacs.classifiers that return ResultSet | |
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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 |
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Methods in de.jstacs.classifiers.performanceMeasures that return ResultSet | |
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ResultSet |
TwoClassAbstractPerformanceMeasure.compute(double[][][] classSpecificScores)
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ResultSet |
ConfusionMatrix.compute(double[][][] classSpecificScores)
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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)
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ResultSet |
PRCurve.compute(double[] sortedScoresClass0,
double[] sortedScoresClass1)
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ResultSet |
ConfusionMatrix.compute(double[] sortedScoresClass0,
double[] sortedScoresClass1)
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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 |
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Methods in de.jstacs.classifiers.trainSMBased that return ResultSet | |
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ResultSet |
TrainSMBasedClassifier.getCharacteristics()
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Uses of ResultSet in de.jstacs.data.sequences.annotation |
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Subclasses of ResultSet in de.jstacs.data.sequences.annotation | |
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class |
CisRegulatoryModuleAnnotation
Annotation for a cis-regulatory module as defined by a set of MotifAnnotation s 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 |
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Subclasses of ResultSet in de.jstacs.results | |
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class |
MeanResultSet
Class that computes the mean and the standard error of a series of NumericalResultSet s. |
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 | |
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protected ResultSet[] |
ListResult.list
The internal list of ResultSet s that are part of this
ListResult |
Methods in de.jstacs.results that return ResultSet | |
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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 ResultSet s. |
ResultSet[] |
ListResult.getValue()
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Constructors in de.jstacs.results with parameters of type ResultSet | |
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ListResult(String name,
String comment,
ResultSet annotation,
ResultSet... results)
Creates a new ListResult from an array of ResultSet s and
a ResultSet of annotations, which may provide additional
information on this ListResult . |
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ListResult(String name,
String comment,
ResultSet annotation,
ResultSet... results)
Creates a new ListResult from an array of ResultSet s and
a ResultSet of annotations, which may provide additional
information on this ListResult . |
Uses of ResultSet in de.jstacs.sequenceScores |
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Methods in de.jstacs.sequenceScores that return ResultSet | |
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ResultSet |
SequenceScore.getCharacteristics()
Returns some information characterizing or describing the current instance. |
Uses of ResultSet in de.jstacs.sequenceScores.differentiable |
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Methods in de.jstacs.sequenceScores.differentiable that return ResultSet | |
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ResultSet |
AbstractDifferentiableSequenceScore.getCharacteristics()
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Uses of ResultSet in de.jstacs.sequenceScores.statisticalModels.trainable |
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Methods in de.jstacs.sequenceScores.statisticalModels.trainable that return ResultSet | |
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ResultSet |
CompositeTrainSM.getCharacteristics()
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ResultSet |
AbstractTrainableStatisticalModel.getCharacteristics()
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Uses of ResultSet in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models |
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Methods in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models that return ResultSet | |
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ResultSet |
HigherOrderHMM.getCharacteristics()
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Uses of ResultSet in de.jstacs.sequenceScores.statisticalModels.trainable.mixture |
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Methods in de.jstacs.sequenceScores.statisticalModels.trainable.mixture that return ResultSet | |
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ResultSet |
AbstractMixtureTrainSM.getCharacteristics()
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Uses of ResultSet in de.jstacs.utils.galaxy |
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Methods in de.jstacs.utils.galaxy with parameters of type ResultSet | |
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void |
GalaxyAdaptor.addResultSet(ResultSet res,
boolean exportAll,
boolean includeInSummary)
Adds a set of results to the results of a program run. |
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