A B C D E F G H I K L M N O P Q R S T U V W X

N

NA - Static variable in class de.jstacs.results.StorableResult
the Storable cannot be trained anyway.
name - Variable in class de.jstacs.parameters.SimpleParameter
The name of the parameter
name - Variable in class de.jstacs.results.Result
The name of the result
nameTemplate - Variable in class de.jstacs.parameters.ExpandableParameterSet
A template for the name of the enclosing ParameterSetContainer
neededReference - Variable in class de.jstacs.parameters.Parameter
In cases, when the validity of some ParameterSet depends on the value of this Parameter, this variable holds a reference to that ParameterSet
neededReferenceId - Variable in class de.jstacs.parameters.Parameter
In addition to the reference, the id of the ParameterSet is saved, which assists reconstruction from XML.
NegativeDifferentiableFunction - Class in de.jstacs.algorithms.optimization
The Function -f for a given function f.
NegativeDifferentiableFunction(DifferentiableFunction) - Constructor for class de.jstacs.algorithms.optimization.NegativeDifferentiableFunction
 
NegativeFunction - Class in de.jstacs.algorithms.optimization
The Function -f for a given function f.
NegativeFunction(Function) - Constructor for class de.jstacs.algorithms.optimization.NegativeFunction
 
NegativeOneDimensionalFunction - Class in de.jstacs.algorithms.optimization
This class extends the class OneDimensionalFunction.
NegativeOneDimensionalFunction(OneDimensionalFunction) - Constructor for class de.jstacs.algorithms.optimization.NegativeOneDimensionalFunction
 
next() - Method in class de.jstacs.models.discrete.inhomogeneous.CombinationIterator
Steps to the next combination.
next() - Method in class de.jstacs.models.discrete.inhomogeneous.SequenceIterator
Changes the internal sequence representation to the next sequence.
next() - Method in class de.jstacs.models.utils.ModelTester.SeqIterator
 
next() - Method in class de.jstacs.parameters.MultiSelectionCollectionParameter
 
next() - Method in class de.jstacs.parameters.ParameterSet
 
next() - Method in class de.jstacs.parameters.ParameterSetContainer
 
next() - Method in interface de.jstacs.parameters.RangeIterator
Switches to the next value in the collection of values in the specified range.
next() - Method in class de.jstacs.parameters.RangeParameter
Returns true if the next element still exists and get be fetched using getValue(), false otherwise
next(int) - Method in class de.jstacs.utils.random.RandomNumberGenerator
 
nextBeta(double, double) - Method in class de.jstacs.utils.random.RandomNumberGenerator
generates a random number from Beta(alpha,beta) (E(X)=a/(a+b) ; Var(X)=ab/[(a+b+1)(a+b)^2])
nextBoolean() - Method in class de.jstacs.utils.random.RandomNumberGenerator
generates a random boolean variable
nextBoolean(double) - Method in class de.jstacs.utils.random.RandomNumberGenerator
generates true with probability p
nextChiSq() - Method in class de.jstacs.utils.random.RandomNumberGenerator
generates a random number from ChiSq(1) (E(X)=1 ; Var(X)=2)
nextChiSq(int) - Method in class de.jstacs.utils.random.RandomNumberGenerator
generates a random number from ChiSq(df) (E(X)=df ; Var(X)=2*df)
nextChiSq(int, double) - Method in class de.jstacs.utils.random.RandomNumberGenerator
generates a random number from shifted-ChiSq(df) (E(X)=df+lambda ; Var(X)=2*df)
nextElement() - Method in class de.jstacs.data.DiscreteSequenceEnumerator
 
nextElement() - Method in class de.jstacs.data.Sample.ElementEnumerator
 
nextElement() - Method in class de.jstacs.io.SymbolExtractor
 
nextExp() - Method in class de.jstacs.utils.random.RandomNumberGenerator
generates a random number from Exp(1) (E(X)=1 ; Var(X)=1)
nextExp(double) - Method in class de.jstacs.utils.random.RandomNumberGenerator
generates a random number from Exp(beta) (E(X)=beta ; Var(X)=beta^2)
nextExp(double, double) - Method in class de.jstacs.utils.random.RandomNumberGenerator
generates a random number from shifted-Exp(beta) (E(X)=beta+lambda ; Var(X)=beta^2)
nextGamma() - Method in class de.jstacs.utils.random.RandomNumberGenerator
generates a random number from Gamma(1,1) (E(X)=1 ; Var(X)=1)
nextGamma(double, double) - Method in class de.jstacs.utils.random.RandomNumberGenerator
generates a random number from Gamma(alpha,beta) (E(X)=alpha*beta ; Var(X)=alpha*beta^2)
nextGamma(double, double, double) - Method in class de.jstacs.utils.random.RandomNumberGenerator
generates a random number from shifted-Gamma(alpha,beta) (E(X)=alpha*beta+lambda ; Var(X)=alpha*beta^2)
nextGaussian() - Method in class de.jstacs.utils.random.RandomNumberGenerator
generates a random number from N(0,1) (E(X)=0 ; Var(X)=1)
nextGaussian(double, double) - Method in class de.jstacs.utils.random.RandomNumberGenerator
generates a random number from N(m,s2) (E(X)=m ; Var(X)=s2)
nextInt() - Method in class de.jstacs.utils.random.RandomNumberGenerator
generates an integer between 0 and 2^32
nextInt(int) - Method in class de.jstacs.utils.random.RandomNumberGenerator
generates an integer between 0 and n-1 (inclusive)
nextPoisson(double) - Method in class de.jstacs.utils.random.RandomNumberGenerator
generates a random number from Poisson(lambda) (E(X)=lambda ; Var(X)=lambda)
nextPoisson() - Method in class de.jstacs.utils.random.RandomNumberGenerator
generates a random number from Poisson(1) (E(X)=1 ; Var(X)=1)
nextSequence() - Method in class de.jstacs.data.bioJava.SimpleSequenceIterator
 
nextUniform() - Method in class de.jstacs.utils.random.RandomNumberGenerator
generates a random number from U(0,1) (E(X)=1/2 ; Var(X)=1/12)
nextUniform(double, double) - Method in class de.jstacs.utils.random.RandomNumberGenerator
generates a random number from U(a,b) (E(X)=(b-a)/2 ; Var(X)=(b-a)^2/12)
NonParsableException - Exception in de.jstacs
A NonParsable exception is thrown if some object could not be restored from a StringBuffer.
NonParsableException() - Constructor for exception de.jstacs.NonParsableException
Creates a new NonParsableException with standard message ("StringBuffer not parsable.
NonParsableException(String) - Constructor for exception de.jstacs.NonParsableException
Creates a new NonParsableException with your own message.
norm - Variable in class de.jstacs.scoringFunctions.mix.AbstractMixtureScoringFunction
This double contains normalization constant of the instance.
Normalisation - Class in de.jstacs.utils
This class can be used for normalisation of any double array or a part of a double array.
Normalisation() - Constructor for class de.jstacs.utils.Normalisation
 
normalisation(double[], double) - Static method in class de.jstacs.utils.Normalisation
normalisation on d, using the value v to normalize
normalisation(double[], double, double[], int) - Static method in class de.jstacs.utils.Normalisation
sum normalisation on d, writing the result in dest starting at position start using the value v to normalize
normalisation(double[], double, int, int) - Static method in class de.jstacs.utils.Normalisation
sum normalisation on d, starting at position start, stopping at position end, using the value v to normalize
NormalizableScoringFunction - Interface in de.jstacs.scoringFunctions
The interface for normalizable ScoringFunctions.
normalizationConstant - Variable in class de.jstacs.scoringFunctions.directedGraphicalModels.BayesianNetworkScoringFunction
Normalization constant to obtain normalized probabilities
normalizePlugInParameters() - Method in class de.jstacs.scoringFunctions.directedGraphicalModels.ParameterTree
Starts the normalization of the plug in parameters to the log of the MAP-estimates.
NormConditionalLogLikelihood - Class in de.jstacs.classifier.scoringFunctionBased.cll
This class implements the normalized log conditional likelihood.
NormConditionalLogLikelihood(ScoringFunction[], Sample[], double[][], boolean, boolean) - Constructor for class de.jstacs.classifier.scoringFunctionBased.cll.NormConditionalLogLikelihood
The constructor creates an instance of the log conditional likelihood.
NormConditionalLogLikelihood(ScoringFunction[], Sample[], double[][], LogPrior, boolean, boolean) - Constructor for class de.jstacs.classifier.scoringFunctionBased.cll.NormConditionalLogLikelihood
The constructor creates an instance using the given prior.
NotTrainedException - Exception in de.jstacs
A NotTrainedException is thrown if the user tries to use an untrained model.
NotTrainedException() - Constructor for exception de.jstacs.NotTrainedException
Creates a new NotTrainedException with standard message ("The model is not trained yet.
NotTrainedException(String) - Constructor for exception de.jstacs.NotTrainedException
Creates a new NotTrainedException with your own message.
NullProgressUpdater - Class in de.jstacs.utils
This class implements a ProgressUpdater doing nothing but forces a crossvalidation that is used with an instance of this class to continue to its end.
NumberValidator<E extends Comparable<? extends Number>> - Class in de.jstacs.parameters.validation
Class that validates all subclasses of Number that implement Comparable (e.g.
NumberValidator(E, E) - Constructor for class de.jstacs.parameters.validation.NumberValidator
Constructs a NumberValidator for a given upper and lower bound.
NumberValidator(StringBuffer) - Constructor for class de.jstacs.parameters.validation.NumberValidator
Constructs a NumberValidator out of a XML representation
NumericalDifferentiableFunction - Class in de.jstacs.algorithms.optimization
This class is the framework for any function f: R^n -> R.
NumericalDifferentiableFunction(double) - Constructor for class de.jstacs.algorithms.optimization.NumericalDifferentiableFunction
 
NumericalResult - Class in de.jstacs.results
Class for numerical Result values.
NumericalResult(StringBuffer) - Constructor for class de.jstacs.results.NumericalResult
Constructs a NumericalResult from its XML-representation.
NumericalResult(String, String, double) - Constructor for class de.jstacs.results.NumericalResult
The simplified constructor for the primitive type double.
NumericalResult(String, String, int) - Constructor for class de.jstacs.results.NumericalResult
The simplified constructor for the primitive type int.
NumericalResult(String, String, Integer) - Constructor for class de.jstacs.results.NumericalResult
The simplified constructor for the type Integer.
NumericalResult(String, String, long) - Constructor for class de.jstacs.results.NumericalResult
The simplified constructor for the primitive type long.
NumericalResultSet - Class in de.jstacs.results
Class for a set of numerical result values, which are all of the type NumericalResult.
NumericalResultSet(NumericalResult) - Constructor for class de.jstacs.results.NumericalResultSet
Constructs a NumericalResultSet containing one NumericalResult.
NumericalResultSet(NumericalResult[]...) - Constructor for class de.jstacs.results.NumericalResultSet
Constructs a NumericalResultSet from an array of NumericalResults.
NumericalResultSet(LinkedList<? extends NumericalResult>) - Constructor for class de.jstacs.results.NumericalResultSet
Constructs a NumericalResultSet from a LinkedList of NumericalResults.
NumericalResultSet(StringBuffer) - Constructor for class de.jstacs.results.NumericalResultSet
This is the constructor for Storable.
numFreePars - Variable in class de.jstacs.scoringFunctions.directedGraphicalModels.BayesianNetworkScoringFunction
The number of free parameters.
nums - Variable in class de.jstacs.scoringFunctions.directedGraphicalModels.BayesianNetworkScoringFunction
Used, internally.

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