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DataType from can be casted to the
DataType to without losing information.
Strings.Storable.
String
.
String.
boolean.
Sample can be used.
Sequence can be used.
Sequence.
AlphabetContainer of a (sub)Sequence
between startpos und endpos.
value for the constraint defined in the
Constraint.
Alphabet is consistent consistent with another
Alphabet, i.e. both Alphabets use the same symbols.
AlphabetContainer is consistent consistent with
another AlphabetContainer.
value with one of the pre-defined DataTypes
before creating a new Result and possibly running into an
Exception.
l of the model with index
index is capable for the current instance.
GibbsSamplingComponent.
true if the key specified by value is
in the set of keys of this CollectionParameter.
true if the value is valid and false
otherwise.
value.
[0,end-start] according to the
distribution encoded in the frequencies of distr between the
indices start and end.
MotifAnnotations of the motifs in the module.CisRegulatoryModuleAnnotation from a set of motifs
and possibly additional annotations.
Storable.
Samples).ClassDimensionException with the
default error message ("The number of classes in the classfier
differs from the given number.
ClassDimensionException with given
error message.
ClassifierAssessment from an array of
AbstractClassifiers and a two-dimensional array of Model
s, which are combined to additional classifiers.
ClassifierAssessment from a set of
AbstractClassifiers.
ClassifierAssessment from a set of Models.
AbstractClassifiers and, in addition, classifiers that will be
constructed using the given AbstractModels.
ClassifierAssessmentAssessParameterSets.ClassifierAssessmentAssessParameterSet with
empty parameter values.
Storable.
ClassifierAssessmentAssessParameterSet with
given parameter values.
i of
the class to which the sequence is assigned with
0 < i < getNumberOfClasses().
i in the array
0 < i < getNumberOfClasses().
Sequence.
CLLClassifier from a
given parameter set and ScoringFunctions for the classes.
CLLClassifier from a
given parameter set, a prior and ScoringFunctions for the
classes.
Storable.
CLLClassifier.Storable.
CLLClassifierParameterSet.
CLLClassifierParameterSet.
Object's clone()-method.
reader is set to null and
the paramsFile is cloned.
Model instance.
ParameterSet.
ScoringFunction
instance.
REnvironment and removes all files from the server.
SafeOutputStream by closing the OutputStream
this stream was constructed of.
CollectionParameter from the necessary field.
CollectionParameter.
CollectionParameter.
CollectionParameter from an array of
ParameterSets.
CollectionParameter from an array of
ParameterSets.
Storable.
CollectionParameter is
inconsistent for some reason.CollectionParameter.InconsistentCollectionException with message
message.
CombinationIterator with n elements
and at most max selected elements.
ParameterSetContainer
ComparableElement.
Sequence.CompositeSequence containing the
complementary current Sequence.CompositeSequence.
Sequence.CompositeSequence containing a part
of the complementary current Sequence.CompositeSequence.
Storable.
ComplementableDiscreteAlphabet from a given array
of symbols.
Storable interface.
CompositeModel.
Storable.
BurnInTest.setValue(double).
DAG).
DAG), i.e. the k-DAG that
maximizes the score given by a Tensor.
DAG), i.e. the k-DAG that
maximizes the score given by a SymmetricTensor.
ConfusionMatrix with a given number of classes.
Storable.
optimize-method.
optimize-method.
StartDistanceForecaster that returns always the same
value.ConstantStartDistance
that returns always the given value.
Storable.
ConstraintValidator.Parameter that is part of the condition.
ParameterValidator that is based on Constraints.ConstraintValidator having an empty list of
Constraints, i.e. the constraints of this
ConstraintValidator are always fulfilled before additional
Constraints are added using ConstraintValidator.addConstraint(Constraint).
Storable.
InstantiableFromParameterSet
interface.
ContinuousAlphabet from a minimal and a maximal
value.
ContinuousAlphabet with minimum and maximum value
being -Double.MAX_VALUE and Double.MAX_VALUE,
respectively.
Storable.
ParameterSet of a
ContinuousAlphabet.ContinuousAlphabet.ContinuousAlphabetParameterSet with empty
values.
ContinuousAlphabet.ContinuousAlphabetParameterSet from a minimum
and a maximum value.
Storable
.
pos of the
Sequence.CompositeSequence.
File in a faster manner.
File in a faster manner using a specified
buffer.
ParameterTree.
Files and directories, if selected, from a
source File, i.e. directory, to a
target File, i.e. directory, that have been modified
after a predefined date.
Constraint constr with the
weighted absolute frequencies of the Sample data.
CLLClassifiers by using the
cross-product of the given ScoringFunctions.
Sequence.CompositeSequence from a String based on the given
AlphabetContainer using the standard delimiter for this
AlphabetContainer.
Sequence.CompositeSequence from a String based on the given
AlphabetContainer using the given delimiter delim.
Sequence.CompositeSequence from a String based on the given
AlphabetContainer using the given delimiter delim
and some annotation for the Sequence.CompositeSequence.
ints.
doubles.
ParameterSet from an array of values, an array of
names and an array of comments.
Result.
BayesianNetworkScoringFunction.trees) and the parameter objects BayesianNetworkScoringFunction.parameters using the
given Measure BayesianNetworkScoringFunction.structureMeasure.
Strings.
ints.
longs.
doubles.
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