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BurnInTest.setValue(double).
String representation of the set of values.
DifferentiableStatisticalModels that allow to score
subsequences of arbitrary length.VariableLengthDiffSM by extending MixtureDiffSM and implementing the methods of VariableLengthDiffSM.VariableLengthMixtureDiffSM.
Storable.
TrainableStatisticalModel on DataSets of Sequences with
variable length if each individual length is at least SequenceScore.getLength().TrainableStatisticalModel.
Storable.
VarianceRatioBurnInTest instance.
Storable interface.
VarianceRatioBurnInTest.VarianceRatioBurnInTestParameterSet with empty parameter values.
VarianceRatioBurnInTestParameterSet with
pre-defined parameter values.
Storable.
DifferentiableSequenceScores of
each class, the means of the non-class parameters should be 0.
seq.
ParameterSet for the viterbi training of an AbstractHMM.Storable.
String as R commands.
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