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.cll Provides the implementation of the log conditional likelihood as an OptimizableFunction and a classifier that uses log conditional likelihood or supervised posterior to learn the parameters of a set of ScoringFunctions 
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.inhomogeneous This package contains various inhomogeneous models. 
de.jstacs.models.discrete.inhomogeneous.shared   
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.cll
 

Methods in de.jstacs.classifier.scoringFunctionBased.cll that throw NotTrainedException
protected  double CLLClassifier.getScore(Sequence seq, int i, 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 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 the given sequence given the model.
 double AbstractModel.getProbFor(Sequence sequence, int startpos)
           
 double Model.getProbFor(Sequence sequence, int startpos, int endpos)
          Returns the probability 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.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 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()
           
 

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 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, inhomogenous model m.