- UniformBorderWrapper(PFMComparator.PFMDistance) - Constructor for class de.jstacs.utils.PFMComparator.UniformBorderWrapper
-
- UniformDiffSM - Class in de.jstacs.sequenceScores.statisticalModels.differentiable
-
- UniformDiffSM(AlphabetContainer, int, double) - Constructor for class de.jstacs.sequenceScores.statisticalModels.differentiable.UniformDiffSM
-
This is the main constructor that creates an instance of a
UniformDiffSM
that models each sequence uniformly.
- UniformDiffSM(StringBuffer) - Constructor for class de.jstacs.sequenceScores.statisticalModels.differentiable.UniformDiffSM
-
This is the constructor for the interface
Storable
.
- UniformDiffSS - Class in de.jstacs.sequenceScores.differentiable
-
- UniformDiffSS(AlphabetContainer, int) - Constructor for class de.jstacs.sequenceScores.differentiable.UniformDiffSS
-
This is the main constructor that creates an instance of a
UniformDiffSS
that models each sequence uniformly.
- UniformDiffSS(StringBuffer) - Constructor for class de.jstacs.sequenceScores.differentiable.UniformDiffSS
-
This is the constructor for the interface
Storable
.
- UniformDurationDiffSM - Class in de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif
-
This scoring function implements a uniform distribution for positions.
- UniformDurationDiffSM(int, int) - Constructor for class de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif.UniformDurationDiffSM
-
This is the main constructor that creates an instance for the given interval.
- UniformDurationDiffSM(int, int, double) - Constructor for class de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif.UniformDurationDiffSM
-
This is the main constructor that creates an instance for the given interval and given ESS.
- UniformDurationDiffSM(StringBuffer) - Constructor for class de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif.UniformDurationDiffSM
-
- UniformEmission - Class in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions
-
This class implements a simple uniform emission.
- UniformEmission(AlphabetContainer) - Constructor for class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.UniformEmission
-
- UniformEmission(StringBuffer) - Constructor for class de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.UniformEmission
-
The standard constructor for the interface
Storable
.
- UniformHomogeneousDiffSM - Class in de.jstacs.sequenceScores.statisticalModels.differentiable.homogeneous
-
This scoring function does nothing.
- UniformHomogeneousDiffSM(AlphabetContainer, double) - Constructor for class de.jstacs.sequenceScores.statisticalModels.differentiable.homogeneous.UniformHomogeneousDiffSM
-
This is the main constructor that creates an instance of a
UniformHomogeneousDiffSM
that models each sequence
uniformly.
- UniformHomogeneousDiffSM(StringBuffer) - Constructor for class de.jstacs.sequenceScores.statisticalModels.differentiable.homogeneous.UniformHomogeneousDiffSM
-
- UniformPositionPrior - Class in de.jstacs.sequenceScores.statisticalModels.trainable.mixture.motif.positionprior
-
This prior implements a uniform distribution for the start position.
- UniformPositionPrior() - Constructor for class de.jstacs.sequenceScores.statisticalModels.trainable.mixture.motif.positionprior.UniformPositionPrior
-
This empty constructor creates an instance with motif length -1.
- UniformPositionPrior(StringBuffer) - Constructor for class de.jstacs.sequenceScores.statisticalModels.trainable.mixture.motif.positionprior.UniformPositionPrior
-
The standard constructor for the interface
Storable
.
- UniformTrainSM - Class in de.jstacs.sequenceScores.statisticalModels.trainable
-
This class represents a uniform model.
- UniformTrainSM(AlphabetContainer) - Constructor for class de.jstacs.sequenceScores.statisticalModels.trainable.UniformTrainSM
-
- UniformTrainSM(StringBuffer) - Constructor for class de.jstacs.sequenceScores.statisticalModels.trainable.UniformTrainSM
-
The standard constructor for the interface
Storable
.
- union(int, int) - Method in class de.jstacs.algorithms.graphs.UnionFind
-
This method unions the tree that includes the node k1
with
the tree that includes node k2
.
- union(DataSet[], boolean[]) - Static method in class de.jstacs.data.DataSet
-
This method unites all
DataSet
s of the array
s
regarding the array
in
.
- union(DataSet...) - Static method in class de.jstacs.data.DataSet
-
Unites all
DataSet
s of the array
s
.
- union(DataSet[], double[][], boolean[]) - Static method in class de.jstacs.data.DataSet
-
This method unites all
DataSet
s of the array
s
regarding the array
in
and sets the element length in the
united
DataSet
to
subsequenceLength
.
- union(double[][]) - Static method in class de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures.Measure
-
Linearizes the arrays in the two-dimensional array ar
to
form a new, one-dimensional array.
- UnionFind - Class in de.jstacs.algorithms.graphs
-
This class implements an Union-Find-algorithm with path contraction.
- UnionFind(int) - Constructor for class de.jstacs.algorithms.graphs.UnionFind
-
Creates a new Union-Find data structure with size
nodes.
- UNKNOWN - Static variable in class de.jstacs.classifiers.differentiableSequenceScoreBased.logPrior.LogPrior
-
- UNKNOWN - Static variable in interface de.jstacs.sequenceScores.differentiable.DifferentiableSequenceScore
-
- unset() - Method in class de.jstacs.classifiers.differentiableSequenceScoreBased.logPrior.SeparateGaussianLogPrior
-
- unset() - Method in class de.jstacs.classifiers.differentiableSequenceScoreBased.logPrior.SeparateLaplaceLogPrior
-
- unset() - Method in class de.jstacs.classifiers.differentiableSequenceScoreBased.logPrior.SeparateLogPrior
-
Resets all internally pre-computed values, e.g.
- unzip(String) - Static method in class de.jstacs.utils.Compression
-
De-compressed the original
String
from the supplied (Base64) compressed
String
.
- usedPositions - Variable in class de.jstacs.sequenceScores.statisticalModels.trainable.discrete.Constraint
-
The used positions.
- useOnlyFreeParameter() - Method in class de.jstacs.classifiers.differentiableSequenceScoreBased.ScoreClassifierParameterSet
-
This method indicates if only the free parameters shall be used.
- userSelected - Variable in class de.jstacs.parameters.AbstractSelectionParameter
-
true
if the user has selected an item
- UserTime - Class in de.jstacs.utils
-
This is an implementation of
Time
that uses a native method.
- UserTime() - Constructor for class de.jstacs.utils.UserTime
-
- USUALLY - Static variable in class de.jstacs.io.AbstractStringExtractor
-
The usual comment character is "#".