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Parameters that potentially can be varied over a
certain interval or a list of values.Parameter or ParameterSet that can have
multiple values at the same time.SimpleParameters to be set
to a set of values.RangeParameter from a SimpleParameter that
is rangeable.
Storable.
RangeParameter.enum defines possible scales, if RangeParameter.RangeType is
RangeParameter.RangeType.RANGE.values, where the greatest value obtains the lowest rank.
values, where the greatest value obtains the lowest rank.
Sequence.
StringBuffer from a given Reader.
paramsFile after a sampling.
paramsFile after a sampling.
paramsFile after a sampling.
StringBuffer from a file with the given filen name.
StringBuffer from a given File.
StringBuffer from a given InputStream.
ArrayList together with some annotation.
ArrayList together with some annotation.
ArrayList together with some annotation.
Tensor.writeTensorToFile(String, OutputStream).
Time.Enumeration of Sequences by declaring an additional method that allows to reuse the Enumeration.ReferenceBasedTransitionElement representing a conditional transition probability distribution of a Hidden Markov TrainableStatisticalModel for the given context.
ReferenceBasedTransitionElement representing a conditional transition probability distribution of a Hidden Markov TrainableStatisticalModel for the given context.
Storable.
SequenceAnnotation that contains a reference
sequence.ReferenceSequenceAnnotation with identifier
identifier, reference sequence ref, and
additional annotation (that does not fit the SequenceAnnotation
definitions) given as a Result result.
Storable.
SequenceAnnotationParser that parses a ReferenceSequenceAnnotation from the comment lines of a sequence.ReferenceSequenceAnnotationParser with user-specified delimiters.
ReferenceSequenceAnnotationParser with user-specified delimiters.
ReferenceSequenceAnnotation
at a certain reference position.ReferenceSequenceDiscreteEmission based on the equivalent sample size.
ReferenceSequenceDiscreteEmission based on the equivalent sample size.
ReferenceSequenceDiscreteEmission defining the individual hyper parameters.
ReferenceSequenceDiscreteEmission defining the individual hyper parameters.
ReferenceSequenceDiscreteEmission from its XML representation.
Files that accepts Files with a specific regular expression
in the filename.RegExFilenameFilter with given
regular expressions regex to be found in the
file name of the Files to be filtered.
RegExFilenameFilter are forbidden, allowed or required to be a directory.OutputStream.RegExFilterOutputStream.
AnnotatedEntity at index idx.
index from the set and returns this measure.
Parameter from set.
REnvironment using the default port.
REnvironment with initial size 10 using the default
port.
REnvironment using the given port.
REnvironment with initial size 10 using the given
port.
ClassifierAssessmentAssessParameterSet that
must be used to call method assess( ...- RepeatedHoldOutAssessParameterSet() -
Constructor for class de.jstacs.classifiers.assessment.RepeatedHoldOutAssessParameterSet
- Constructs a new
RepeatedHoldOutAssessParameterSet with empty
parameter values.
- RepeatedHoldOutAssessParameterSet(StringBuffer) -
Constructor for class de.jstacs.classifiers.assessment.RepeatedHoldOutAssessParameterSet
- The standard constructor for the interface
Storable.
- RepeatedHoldOutAssessParameterSet(DataSet.PartitionMethod, int, boolean, int, double[]) -
Constructor for class de.jstacs.classifiers.assessment.RepeatedHoldOutAssessParameterSet
- Constructs a new
RepeatedHoldOutAssessParameterSet with given
parameter values.
- RepeatedHoldOutExperiment - Class in de.jstacs.classifiers.assessment
- This class implements a repeated hold-out experiment for assessing
classifiers.
- RepeatedHoldOutExperiment(AbstractClassifier[], TrainableStatisticalModel[][], boolean, boolean) -
Constructor for class de.jstacs.classifiers.assessment.RepeatedHoldOutExperiment
- Creates a new
RepeatedHoldOutExperiment from an array of
AbstractClassifiers and a two-dimensional array of TrainableStatisticalModel
s, which are combined to additional classifiers.
- RepeatedHoldOutExperiment(AbstractClassifier...) -
Constructor for class de.jstacs.classifiers.assessment.RepeatedHoldOutExperiment
- Creates a new
RepeatedHoldOutExperiment from a set of
AbstractClassifiers.
- RepeatedHoldOutExperiment(boolean, TrainableStatisticalModel[]...) -
Constructor for class de.jstacs.classifiers.assessment.RepeatedHoldOutExperiment
- Creates a new
RepeatedHoldOutExperiment from a set of
TrainableStatisticalModels.
- RepeatedHoldOutExperiment(AbstractClassifier[], boolean, TrainableStatisticalModel[]...) -
Constructor for class de.jstacs.classifiers.assessment.RepeatedHoldOutExperiment
- This constructor allows to assess a collection of given
AbstractClassifiers and those constructed using the given
TrainableStatisticalModels by a
RepeatedHoldOutExperiment.
- RepeatedSubSamplingAssessParameterSet - Class in de.jstacs.classifiers.assessment
- This class implements a
ClassifierAssessmentAssessParameterSet that
must be used to call method assess( ...- RepeatedSubSamplingAssessParameterSet() -
Constructor for class de.jstacs.classifiers.assessment.RepeatedSubSamplingAssessParameterSet
- Constructs a new
RepeatedSubSamplingAssessParameterSet with empty
parameter values.
- RepeatedSubSamplingAssessParameterSet(StringBuffer) -
Constructor for class de.jstacs.classifiers.assessment.RepeatedSubSamplingAssessParameterSet
- The standard constructor for the interface
Storable.
- RepeatedSubSamplingAssessParameterSet(int, boolean, int, double[], double[]) -
Constructor for class de.jstacs.classifiers.assessment.RepeatedSubSamplingAssessParameterSet
- Constructs a new
RepeatedSubSamplingAssessParameterSet with given
parameter values.
- RepeatedSubSamplingExperiment - Class in de.jstacs.classifiers.assessment
- This class implements a repeated subsampling experiment.
- RepeatedSubSamplingExperiment(AbstractClassifier[], TrainableStatisticalModel[][], boolean, boolean) -
Constructor for class de.jstacs.classifiers.assessment.RepeatedSubSamplingExperiment
- Creates a new
RepeatedSubSamplingExperiment from an array of
AbstractClassifiers and a two-dimensional array of TrainableStatisticalModel
s, which are combined to additional classifiers.
- RepeatedSubSamplingExperiment(AbstractClassifier...) -
Constructor for class de.jstacs.classifiers.assessment.RepeatedSubSamplingExperiment
- Creates a new
RepeatedSubSamplingExperiment from a set of
AbstractClassifiers.
- RepeatedSubSamplingExperiment(boolean, TrainableStatisticalModel[]...) -
Constructor for class de.jstacs.classifiers.assessment.RepeatedSubSamplingExperiment
- Creates a new
RepeatedSubSamplingExperiment from a set of
TrainableStatisticalModels.
- RepeatedSubSamplingExperiment(AbstractClassifier[], boolean, TrainableStatisticalModel[]...) -
Constructor for class de.jstacs.classifiers.assessment.RepeatedSubSamplingExperiment
- This constructor allows to assess a collection of given
AbstractClassifiers and those constructed using the given
TrainableStatisticalModels by a
RepeatedSubSamplingExperiment.
- replaceContentWith(ParameterSet[]) -
Method in class de.jstacs.parameters.ExpandableParameterSet
- First removes all previous added
ParameterSetContainers and
afterwards adds all given ParameterSets (in the given order)
enclosed in new ParameterSetContainers.
- required -
Variable in class de.jstacs.parameters.SimpleParameter
- Determines if the parameter is required
- reset() -
Method in class de.jstacs.algorithms.optimization.ConstantStartDistance
-
- reset() -
Method in class de.jstacs.algorithms.optimization.LimitedMedianStartDistance
-
- reset() -
Method in interface de.jstacs.algorithms.optimization.StartDistanceForecaster
- Resets the object to the initial state.
- reset(DifferentiableSequenceScore[]) -
Method in class de.jstacs.classifiers.differentiableSequenceScoreBased.DiffSSBasedOptimizableFunction
- This method allows to reset the internally used functions and the corresponding objects.
- reset() -
Method in class de.jstacs.classifiers.differentiableSequenceScoreBased.DiffSSBasedOptimizableFunction
-
- reset(DifferentiableSequenceScore[]) -
Method in class de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix.LogGenDisMixFunction
-
- reset() -
Method in class de.jstacs.classifiers.differentiableSequenceScoreBased.OptimizableFunction
- Resets the all objects and pre-computed values.
- reset() -
Method in class de.jstacs.data.bioJava.SimpleSequenceIterator
- Provides the possibility to reset and afterwards reuse this iterator.
- reset() -
Method in class de.jstacs.data.DataSet.ElementEnumerator
-
- reset() -
Method in class de.jstacs.data.DataSetKMerEnumerator
-
- reset() -
Method in class de.jstacs.data.DiscreteSequenceEnumerator
-
- reset() -
Method in interface de.jstacs.data.RecyclableSequenceEnumerator
- This method enables the user to reuse this enumerator.
- reset() -
Method in class de.jstacs.data.SequenceEnumeration
-
- reset() -
Method in class de.jstacs.parameters.FileParameter
- Resets the
FileParameter to its original state.
- reset() -
Method in class de.jstacs.parameters.MultiSelectionParameter
-
- reset() -
Method in class de.jstacs.parameters.Parameter
- Resets the parameter and its contents to the default values or
null if no defaults are given.
- reset() -
Method in class de.jstacs.parameters.ParameterSet
- Resets all
Parameters in this ParameterSet to their
default values or null if not default value was provided.
- reset() -
Method in class de.jstacs.parameters.ParameterSetContainer
-
- reset() -
Method in class de.jstacs.parameters.RangeParameter
-
- reset() -
Method in class de.jstacs.parameters.SelectionParameter
-
- reset() -
Method in class de.jstacs.parameters.SequenceScoringParameterSet
-
- reset() -
Method in class de.jstacs.parameters.SimpleParameter
-
- reset() -
Method in class de.jstacs.parameters.SimpleParameterSet
-
- reset() -
Method in class de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.BNDiffSMParameter
- Resets the counts to the pseudocounts and the value to
0.
- reset() -
Method in class de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif.DurationDiffSM
-
- reset() -
Method in class de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif.PositionDiffSM
- This method resets the iterator to the initial state (first reasonable output) so that it can be used again.
- reset() -
Method in class de.jstacs.sequenceScores.statisticalModels.trainable.discrete.Constraint
- This method resets all member variables that are in some way counters,
frequencies, ...
- reset() -
Method in class de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.CombinationIterator
- This method resets the internal combination.
- reset() -
Method in class de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.MEMConstraint
-
- reset() -
Method in class de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.SequenceIterator
- Resets the internal sequence representation.
- reset() -
Method in class de.jstacs.utils.RealTime
-
- reset() -
Method in class de.jstacs.utils.Time
- Restarts the time stopping.
- reset() -
Method in class de.jstacs.utils.UserTime
-
- resetAllValues() -
Method in class de.jstacs.sampling.AbstractBurnInTest
-
- resetAllValues() -
Method in interface de.jstacs.sampling.BurnInTest
- This method can be used to remove all values from the internal memory.
- resetAllValues() -
Method in class de.jstacs.sampling.SimpleBurnInTest
- Deprecated.
- resetCounts() -
Method in class de.jstacs.sequenceScores.statisticalModels.trainable.discrete.Constraint
- This method allows to reset the internal field
Constraint.counts that is used for estimating the probabilities.
- resetStatistic() -
Method in class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.continuous.GaussianEmission
-
- resetStatistic() -
Method in class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.continuous.MultivariateGaussianEmission
-
- resetStatistic() -
Method in class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.discrete.AbstractConditionalDiscreteEmission
-
- resetStatistic() -
Method in class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.discrete.PhyloDiscreteEmission
-
- resetStatistic() -
Method in interface de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.Emission
- This method resets the internal sufficient statistic.
- resetStatistic() -
Method in class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.MixtureEmission
-
- resetStatistic() -
Method in class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.SilentEmission
-
- resetStatistic() -
Method in class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.UniformEmission
-
- resetStatistic() -
Method in class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.transitions.BasicHigherOrderTransition.AbstractTransitionElement
- This method resets the sufficient statistic for the parameters.
- resetStatistic() -
Method in class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.transitions.BasicHigherOrderTransition
-
- resetStatistic() -
Method in class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.transitions.elements.DistanceBasedScaledTransitionElement
-
- resetStatistic() -
Method in class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.transitions.elements.ScaledTransitionElement
-
- resetStatistic() -
Method in interface de.jstacs.sequenceScores.statisticalModels.trainable.hmm.transitions.TransitionWithSufficientStatistic
- This method reset the internal sufficient statistics that can be used for estimating the parameters.
- resetStatistics() -
Method in class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models.HigherOrderHMM
- This method resets all sufficient statistics of all emissions and the transition.
- resetToFirst() -
Method in class de.jstacs.parameters.MultiSelectionParameter
-
- resetToFirst() -
Method in interface de.jstacs.parameters.RangeIterator
- Resets the current value in the collection to the first value.
- resetToFirst() -
Method in class de.jstacs.parameters.RangeParameter
-
- resetValue(byte, int, int...) -
Method in class de.jstacs.algorithms.graphs.tensor.AsymmetricTensor
-
- resetValue(byte, int, int...) -
Method in class de.jstacs.algorithms.graphs.tensor.SubTensor
-
- resetValue(byte, int, int...) -
Method in class de.jstacs.algorithms.graphs.tensor.SymmetricTensor
- Sets the value for the edge
parents -> child to
Double.NEGATIVE_INFTINITY.
- resetValue(byte, int, int...) -
Method in class de.jstacs.algorithms.graphs.tensor.Tensor
- Sets the value for the edge
parents[0],...,parents[k-1] -> child to
Double.NEGATIVE_INFINITY.
- resize(double[], int) -
Method in class de.jstacs.data.DataSet
-
- RestrictedRepeatHistory - Class in de.jstacs.motifDiscovery.history
- This class implements a history that allows operations (i.e.
- RestrictedRepeatHistory() -
Constructor for class de.jstacs.motifDiscovery.history.RestrictedRepeatHistory
- This constructor creates an instance that allows to shift, shrink, and
expand the motif, to do the reverse operation, and to do each operation at most once.
- RestrictedRepeatHistory(boolean) -
Constructor for class de.jstacs.motifDiscovery.history.RestrictedRepeatHistory
- This constructor creates an instance that allows to shift, shrink, and
expand the motif, and allows to do each operation at most once.
- RestrictedRepeatHistory(int) -
Constructor for class de.jstacs.motifDiscovery.history.RestrictedRepeatHistory
- This constructor creates an instance that allows to shift shrink and
expand the motif.
- RestrictedRepeatHistory(boolean, boolean, boolean) -
Constructor for class de.jstacs.motifDiscovery.history.RestrictedRepeatHistory
- This constructor creates an instance that allows to do each operation at
most once.
- RestrictedRepeatHistory(boolean, boolean, boolean, boolean, int) -
Constructor for class de.jstacs.motifDiscovery.history.RestrictedRepeatHistory
- This constructor creates an instance with user specified allowed
operations and
threshold.
- RestrictedRepeatHistory(StringBuffer) -
Constructor for class de.jstacs.motifDiscovery.history.RestrictedRepeatHistory
- This is the constructor for the interface
Storable.
- Result - Class in de.jstacs.results
- The abstract class for any result.
- Result(String, String, DataType) -
Constructor for class de.jstacs.results.Result
- The main constructor which takes the main information of a result.
- Result(StringBuffer) -
Constructor for class de.jstacs.results.Result
- The standard constructor for the interface
Storable.
- result -
Variable in class de.jstacs.results.SimpleResult
- The result.
- results -
Variable in class de.jstacs.results.ResultSet
- The internally stores results.
- ResultSet - Class in de.jstacs.results
- Class for a set of
Results which provides methods to access single
Results in the set, to retrieve the number of Results in the
set, to get a String representation or an XML representation of all
the Results in the set. - ResultSet(Result) -
Constructor for class de.jstacs.results.ResultSet
- Constructs a new
ResultSet containing one Result.
- ResultSet(Result[]...) -
Constructor for class de.jstacs.results.ResultSet
- Constructs a new
ResultSet from a two-dimensional array of
Results.
- ResultSet(Collection<? extends Result>) -
Constructor for class de.jstacs.results.ResultSet
- Constructs a new
ResultSet from a Collection of type
Result.
- ResultSet(StringBuffer) -
Constructor for class de.jstacs.results.ResultSet
- The standard constructor for the interface
Storable.
- reverse() -
Method in class de.jstacs.data.sequences.Sequence
- This method returns a new instance of
Sequence containing the
reverse current Sequence.
- reverse(int, int) -
Method in class de.jstacs.data.sequences.Sequence
- This method returns a new instance of
Sequence containing a part
of the reverse current Sequence.
- reverse(int, int) -
Method in class de.jstacs.data.sequences.SparseSequence
-
- reverse -
Variable in class de.jstacs.sequenceScores.differentiable.IndependentProductDiffSS
- This array specifies whether the sequence or its reverse complement is used in the specific parts.
- reverse() -
Method in class de.jstacs.utils.IntList
- This method reverses the list, i.e., after invoking this method the formerly
first element is than the last, the formerly second element is than the last but one, ...
- reverseComplement(int, int) -
Method in class de.jstacs.data.sequences.MultiDimensionalSequence
-
- reverseComplement() -
Method in class de.jstacs.data.sequences.Sequence
- This method returns a new instance of
Sequence containing the
reverse complementary current Sequence.
- reverseComplement(int, int) -
Method in class de.jstacs.data.sequences.Sequence
- This method returns a new instance of
Sequence containing a
reverse part of the complementary current Sequence.
- reverseComplement(int, int) -
Method in class de.jstacs.data.sequences.Sequence.SubSequence
-
- reverseComplement(int, int) -
Method in class de.jstacs.data.sequences.SparseSequence
-
- ROCCurve - Class in de.jstacs.classifiers.performanceMeasures
- This class implements the Receiver Operating Characteristics curve and the area under the curve.
- ROCCurve() -
Constructor for class de.jstacs.classifiers.performanceMeasures.ROCCurve
- Constructs a new instance of the performance measure
ROCCurve.
- ROCCurve(StringBuffer) -
Constructor for class de.jstacs.classifiers.performanceMeasures.ROCCurve
- The standard constructor for the interface
Storable.
- RUtils - Class in de.jstacs.utils
- This is a collection of various silly things you can do when accessing
Rserve.
This class is based on an implementation of Andreas Stephanik and was further
developed by Jens Keilwagen. - RUtils() -
Constructor for class de.jstacs.utils.RUtils
-
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