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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 AbstractClassifier
s.
TerminationCondition
that stops the optimization if the elapsed time in seconds is
greater than a given value.s
seconds
DefaultProgressUpdater
.TimeLimitedProgressUpdater
.
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.CompositeSequence
into a discrete one.
double
array representation of
the Tensor
.
String
representation of the structure that
can be used in Graphviz to create an image.
Measure.getParents(Sample, Sample, double[], double[], int)
from an
order and a topological ordering of positions.
String
representation of the Sequence.CompositeSequence
(normally
the Sequence.CompositeSequence
in its original Alphabet
).
String
representation of the Sequence.CompositeSequence
(normally
the Sequence.CompositeSequence
in its original Alphabet
) beginning at
position start
with a default delimiter as separator.
String
representation of the Sequence.CompositeSequence
(normally
the Sequence.CompositeSequence
in its original Alphabet
) between
start
and end
with a default delimiter as
separator.
String
representation of the Sequence.CompositeSequence
(normally
the Sequence.CompositeSequence
in its original alphabet) between start
and end
with delim
as separator.
String
.
String
array from the XML representation of all
ParameterTree
s in trees
as returned by the
corresponding ParameterTree.toXML()
methods.
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
Sample
s.
Sample
s.
Sample
s.
Sample
s.
graph
.
graph
.
Model
object given the data as Sample
.
Model
object given the data as Sample
using
the specified weights.
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