Uses of Class
de.jstacs.classifier.scoringFunctionBased.OptimizableFunction.KindOfParameter

Packages that use OptimizableFunction.KindOfParameter
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.motifDiscovery This package provides the framework including the interface for any de novo motif discoverer 
 

Uses of OptimizableFunction.KindOfParameter in de.jstacs.classifier.scoringFunctionBased
 

Methods in de.jstacs.classifier.scoringFunctionBased that return OptimizableFunction.KindOfParameter
static OptimizableFunction.KindOfParameter OptimizableFunction.KindOfParameter.valueOf(String name)
          Returns the enum constant of this type with the specified name.
static OptimizableFunction.KindOfParameter[] OptimizableFunction.KindOfParameter.values()
          Returns an array containing the constants of this enum type, in the order they're declared.
 

Methods in de.jstacs.classifier.scoringFunctionBased with parameters of type OptimizableFunction.KindOfParameter
abstract  double[] OptimizableFunction.getParameters(OptimizableFunction.KindOfParameter kind)
          Returns some parameters that can be used for instance as start parameters.
 double[] AbstractOptimizableFunction.getParameters(OptimizableFunction.KindOfParameter kind)
           
abstract  void AbstractOptimizableFunction.getParameters(OptimizableFunction.KindOfParameter kind, double[] erg)
          This method enables the user to get the parameters without creating a new array.
 

Constructors in de.jstacs.classifier.scoringFunctionBased with parameters of type OptimizableFunction.KindOfParameter
ScoreClassifierParameterSet(Class<? extends ScoreClassifier> instanceClass, AlphabetContainer alphabet, int length, byte algo, double eps, double lineps, double startD, boolean free, OptimizableFunction.KindOfParameter kind)
          The constructor for a simple, instantiated parameter set.
 

Uses of OptimizableFunction.KindOfParameter in de.jstacs.classifier.scoringFunctionBased.cll
 

Methods in de.jstacs.classifier.scoringFunctionBased.cll with parameters of type OptimizableFunction.KindOfParameter
 void NormConditionalLogLikelihood.getParameters(OptimizableFunction.KindOfParameter kind, double[] erg)
           
 

Constructors in de.jstacs.classifier.scoringFunctionBased.cll with parameters of type OptimizableFunction.KindOfParameter
CLLClassifierParameterSet(AlphabetContainer alphabet, int length, byte algo, double eps, double lineps, double startD, boolean free, OptimizableFunction.KindOfParameter kind, boolean norm)
          The default constructor that constructs a new CLLClassifierParameterSet.
CLLClassifierParameterSet(Class<? extends ScoreClassifier> instanceClass, AlphabetContainer alphabet, int length, byte algo, double eps, double lineps, double startD, boolean free, OptimizableFunction.KindOfParameter kind, boolean norm)
          The default constructor that constructs a new CLLClassifierParameterSet.
 

Uses of OptimizableFunction.KindOfParameter in de.jstacs.motifDiscovery
 

Methods in de.jstacs.motifDiscovery with parameters of type OptimizableFunction.KindOfParameter
static double[][] MutableMotifDiscovererToolbox.optimize(ScoringFunction[] funs, OptimizableFunction opt, byte algorithm, double eps, double linEps, StartDistanceForecaster startDistance, SafeOutputStream out, boolean breakOnChanged, History[][] hist, int[][] minimalNewLength, OptimizableFunction.KindOfParameter plugIn)
          This method tries to optimize the problem at hand as good as possible.
static double[][] MutableMotifDiscovererToolbox.optimize(ScoringFunction[] funs, OptimizableFunction opt, byte algorithm, double eps, double linEps, StartDistanceForecaster startDistance, SafeOutputStream out, boolean breakOnChanged, History template, OptimizableFunction.KindOfParameter plugIn)
          This method tries to optimize the problem at hand as good as possible.