Uses of Class
de.jstacs.NotTrainedException

Packages that use NotTrainedException

de.jstacs.classifier	This package provides the framework for any classifier.
de.jstacs.classifier.scoringFunctionBased	Provides the classes for Classifiers that are based on ScoringFunctions.
de.jstacs.classifier.scoringFunctionBased.sampling	Provides the classes for AbstractScoreBasedClassifiers that are based on SamplingScoringFunctions and that sample parameters using the Metropolis-Hastings algorithm.
de.jstacs.models	Provides the interface Model and its abstract implementation AbstractModel, which is the super class of all other models.
de.jstacs.models.discrete
de.jstacs.models.discrete.homogeneous
de.jstacs.models.discrete.inhomogeneous	This package contains various inhomogeneous models.
de.jstacs.models.discrete.inhomogeneous.shared
de.jstacs.models.hmm	The package provides all interfaces and classes for a hidden Markov model (HMM).
de.jstacs.models.hmm.models	The package provides different implementations of hidden Markov models based on AbstractHMM
de.jstacs.models.mixture	This package is the super package for any mixture model.
de.jstacs.models.utils

Uses of NotTrainedException in de.jstacs.classifier

Methods in de.jstacs.classifier that throw NotTrainedException

protected void	AbstractScoreBasedClassifier.check(Sample s) This method checks if the given Sample can be used.
protected void	AbstractScoreBasedClassifier.check(Sequence seq) This method checks if the given Sequence can be used.
protected double	MappingClassifier.getScore(Sequence seq, int i, boolean check)
protected abstract double	AbstractScoreBasedClassifier.getScore(Sequence seq, int i, boolean check) This method returns the score for a given Sequence and a given class.

Uses of NotTrainedException in de.jstacs.classifier.scoringFunctionBased

Methods in de.jstacs.classifier.scoringFunctionBased that throw NotTrainedException

protected double

ScoreClassifier.getScore(Sequence seq, int i, boolean check)

Uses of NotTrainedException in de.jstacs.classifier.scoringFunctionBased.sampling

Methods in de.jstacs.classifier.scoringFunctionBased.sampling that throw NotTrainedException

protected double

SamplingScoreBasedClassifier.getScore(Sequence seq, int cls, boolean check)

Uses of NotTrainedException in de.jstacs.models

Methods in de.jstacs.models that throw NotTrainedException

Sample	Model.emitSample(int numberOfSequences, int... seqLength) This method returns a Sample object containing artificial sequence(s).
Sample	AbstractModel.emitSample(int numberOfSequences, int... seqLength)
double	NormalizableScoringFunctionModel.getLogProbFor(Sequence sequence, int startpos, int endpos)
double	CompositeModel.getLogProbFor(Sequence sequence, int startpos, int endpos)
double	Model.getProbFor(Sequence sequence) Returns the probability of the given sequence given the model.
double	AbstractModel.getProbFor(Sequence sequence)
double	Model.getProbFor(Sequence sequence, int startpos) Returns the probability of (a part of) the given sequence given the model.
double	AbstractModel.getProbFor(Sequence sequence, int startpos)
double	VariableLengthWrapperModel.getProbFor(Sequence sequence, int startpos, int endpos)
double	NormalizableScoringFunctionModel.getProbFor(Sequence sequence, int startpos, int endpos)
double	Model.getProbFor(Sequence sequence, int startpos, int endpos) Returns the probability of (a part of) the given sequence given the model.
double	CompositeModel.getProbFor(Sequence sequence, int startpos, int endpos)

Uses of NotTrainedException in de.jstacs.models.discrete

Methods in de.jstacs.models.discrete that throw NotTrainedException

protected void

DiscreteGraphicalModel.check(Sequence sequence, int startpos, int endpos) Checks some conditions on a Sequence.

Uses of NotTrainedException in de.jstacs.models.discrete.homogeneous

Methods in de.jstacs.models.discrete.homogeneous that throw NotTrainedException

protected void	HomogeneousModel.check(Sequence sequence, int startpos, int endpos) Checks some constraints, these are in general conditions on the AlphabetContainer of a (sub)Sequence between startpos und endpos.
Sample	HomogeneousModel.emitSample(int no, int... length) Creates a Sample of a given number of Sequences from a trained homogeneous model.
double	HomogeneousModel.getLogProbFor(Sequence sequence, int startpos, int endpos)
double	HomogeneousModel.getProbFor(Sequence sequence, int startpos, int endpos)

Uses of NotTrainedException in de.jstacs.models.discrete.inhomogeneous

Methods in de.jstacs.models.discrete.inhomogeneous that throw NotTrainedException

protected void	InhomogeneousDGM.check(Sequence sequence, int startpos, int endpos)
Sample	DAGModel.emitSample(int n, int... lengths)
double	DAGModel.getLogProbFor(Sequence sequence, int startpos, int endpos)
double	DAGModel.getProbFor(Sequence sequence, int startpos, int endpos)
abstract String	InhomogeneousDGM.getStructure() Returns a String representation of the underlying graph.
String	DAGModel.getStructure()

Uses of NotTrainedException in de.jstacs.models.discrete.inhomogeneous.shared

Methods in de.jstacs.models.discrete.inhomogeneous.shared that throw NotTrainedException

String

SharedStructureMixture.getStructure() Returns a String representation of the structure of the used models.

Uses of NotTrainedException in de.jstacs.models.hmm

Methods in de.jstacs.models.hmm that throw NotTrainedException

double	AbstractHMM.getProbFor(Sequence sequence)
double	AbstractHMM.getProbFor(Sequence sequence, int startpos)

Uses of NotTrainedException in de.jstacs.models.hmm.models

Methods in de.jstacs.models.hmm.models that throw NotTrainedException

Sample

HigherOrderHMM.emitSample(int numberOfSequences, int... seqLength)

Uses of NotTrainedException in de.jstacs.models.mixture

Methods in de.jstacs.models.mixture that throw NotTrainedException

protected Sequence[]	StrandModel.emitSampleUsingCurrentParameterSet(int n, int... lengths)
double	AbstractMixtureModel.getScoreForBestRun() Returns the value of the optimized function from the best run of the last training.

Uses of NotTrainedException in de.jstacs.models.utils

Methods in de.jstacs.models.utils that throw NotTrainedException

static Sample

DiscreteInhomogenousSampleEmitter.emitSample(Model m, int n) This method emits a sample with n sequences from the discrete inhomogeneous model m .