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DataType from can be casted to the DataType to
without loosing information.
StringsCategoricalResult from its XML-representation.
String
String.
boolean.
Sample can be used.
value for the constraint defined in the Constraint.
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.
value is in the set of keys of this CollectionParameter.
true if the value is valid and false otherwise
value.
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.
CisRegulatoryModuleAnnotation from its XML
representation as returned by
SequenceAnnotation.toXML().
Samples).main-method that allows to compute some
performance measures in a very simple way.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.
ClassifierAssessmentAssessParameterSet out of an XML
representation.
ClassifierAssessmentAssessParameterSet with
given parameter values.
i,
with 0 < i < getNumberOfClasses(), of the class to
which the sequence is assigned.
i, with 0 < i < getNumberOfClasses(), of
the class to which the sequence is assigned.
Storable.
CLLClassifier.Storable.
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 ParameterSet.
CollectionParameter from an array of ParameterSets.
CollectionParameter from a string representation
CollectionParameter is inconsistent for some reasonInconsistentCollectionExceptionmessage
n elements and at most max selected
elements.
ParameterSetContainer
Storable interface.
Storable interface.
BurnInTest.setValue(double).
Storable.
optimize-method.
optimize-method.
StartDistanceForecaster that returns always the same
value.value.
ConstraintValidatorParameter 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 the addConstraint()-method.
ConstraintValidator from its XML-representation.
InstantiableFromParameterSet
interface.
ContinuousAlphabet from a minimum and a maximum
value.
StringBuffer.
ParameterSet of a
ContinuousAlphabet.ContinuousAlphabet.ContinuousAlphabetParameterSet with empty
values.
ContinuousAlphabet.ContinuousAlphabetParameterSet from a minimum
and a maximum value.
ContinuousAlphabet.ContinuousAlphabetParameterSet from its XML
representation.
pos.
ParameterTree
source to a target that have been modified
after a predefined date
constr with the weighted absolute frequency of the sample
data and computes the frequencies will not be computed.
CLLClassifiers by using the
cross-product of the given ScoringFunctions.
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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