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ParameterSet
Tensor for n nodes and order
k.
Exception that is thrown if something with a
termination was not correct.TerminationException with standard error message
("The termination mode was incorrect, please check your
choice.
evaluate( ... )
-methods of the local AbstractClassifiers.
TerminationCondition that stops the optimization if the elapsed time in seconds is
greater than a given value.s seconds
Storable.
TimeCondition.Storable.
DefaultProgressUpdater.TimeLimitedProgressUpdater.
AnnotatedEntitys in this list
as an array.
double array containing all elements
of the list.
int array containing all elements of
the list.
String representation of the
structure that can be used in Graphviz to create an image.
val of the Alphabet
of position pos in the AlphabetContainer.
pos of
the Sequence into a discrete one.
double array representation of
the Tensor.
descBuffer
and variable configuration and appends it to configBuffer.
GalaxyAdaptor.
String representation of the structure that
can be used in Graphviz to create an image.
PhyloTree from the given input stream
Measure.getParents(DataSet, DataSet, double[], double[], int) from an
order and a topological ordering of positions.
String representation of this smoothing method.
String representation of the Sequence (normally
the Sequence in its original Alphabet).
String representation of the Sequence (normally
the Sequence in its original Alphabet) beginning at
position start with a default delimiter as separator.
String representation of the Sequence (normally
the Sequence in its original Alphabet) between
start and end with a default delimiter as
separator.
String representation of the Sequence (normally
the Sequence in its original alphabet) between start
and end with delim as separator.
String representation of the transition element using the given names of the states.
String representation of the Transition using the given names of the states.
String.
String.
String representation of the
structure that can be used in Graphviz to create an image.
String representation of the weighted
structure that can be used in Graphviz to create an image.
Storable.
StringBuffer of an
instance of the implementing class.
AbstractClassifier object given the data as
DataSets.
DataSet
s.
DataSets.
DataSets.
graph.
graph.
TrainableStatisticalModel object given the data as DataSet.
TrainableStatisticalModel object given the data as DataSet using
the specified weights.
TrainableTransition and DifferentiableTransition.ParameterSet containing all Parameters for the training of the HMM.
TrainableStatisticalModels for each of the different classes.TrainableStatisticalModels and
clones these if necessary.
TrainableStatisticalModels.
Storable.
DiscreteAlphabetMappings used for mapping the original Sequence.
Storable.
BasicHigherOrderTransition.AbstractTransitionElements.
double matrix.
TwoClassAbstractPerformanceMeasure with empty parameter values.
Storable.
ReferenceSequenceAnnotation.
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