Storable cannot be trained anyway.
PRCurve.getName()
ROCCurve.getName()
ParameterSetContainer
-f for a given
DifferentiableFunction f.DifferentiableFunction f for which
-f should be calculated.
Function f.Function f for which -f
should be calculated.
OneDimensionalFunction.OneDimensionalFunction f for which
-f should be calculated.
PhyloTreetrue if the next element still exists and can be
fetched using RangeParameter.getValue(), false otherwise.
NonParsableException is thrown if some object could not be restored
(parsed) from a StringBuffer.NonParsableException with standard error message
("StringBuffer not parsable.
NonParsableException with given error
message.
Storable.
double contains the normalization constant of the
instance.
double array or
a part of a double array.d using the value
v for normalisation.
d writing the result to
dest starting at position start while
d remains unchanged.
d between start index
start and end index end using the value
v for the normalisation.
DifferentiableStatisticalModel to a normalized DifferentiableStatisticalModel.Storable.
ScoreClassifier.getLastScore() if the classifier is not trained.
NotTrainedException is thrown if the user tries to use an untrained
model.NotTrainedException with standard error message
("The model is not trained yet.
NotTrainedException with given error
message.
DifferentiableStatisticalModel.
ProgressUpdater doing nothing but forces a
crossvalidation that is used with an instance of this class to continue to
its end.SequenceAnnotationParser returns always null as SequenceAnnotation.Number that implement
Comparable (e.g.NumberValidator for a given upper and lower bound.
Storable.
.NumericalDifferentiableFunction.
ParameterSet for numerical training of an AbstractHMM.Storable.
NumericalPerformanceMeasures that can be used, for instance, in an repeated assessment,
(cf.Storable.
NumericalPerformanceMeasureParameterSet that can be used for classifiers that
handle the given number of classes.
NumericalPerformanceMeasureParameterSet that can be used for binary classifiers.
Result values.Storable.
NumericalResult of a primitive numerical data type.
double.
int.
Integer.
long.
NumericalResult.NumericalResultSet containing one
NumericalResult.
NumericalResultSet from some arrays of
NumericalResults.
NumericalResultSet from a LinkedList of
NumericalResults.
Storable.