Uses of Class
de.jstacs.parameters.SimpleParameter.IllegalValueException

Packages that use SimpleParameter.IllegalValueException

de.jstacs.algorithms.optimization.termination	Provides classes for termination conditions that can be used in algorithms
de.jstacs.classifiers.assessment	This package allows to assess classifiers.
de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix	Provides an implementation of a classifier that allows to train the parameters of a set of DifferentiableStatisticalModels by a unified generative-discriminative learning principle
de.jstacs.classifiers.differentiableSequenceScoreBased.sampling	Provides the classes for AbstractScoreBasedClassifiers that are based on SamplingDifferentiableStatisticalModels and that sample parameters using the Metropolis-Hastings algorithm.
de.jstacs.classifiers.performanceMeasures	This package provides the implementations of performance measures that can be used to assess any classifier
de.jstacs.parameters	This package provides classes for parameters that establish a general convention for the description of parameters as defined in the Parameter-interface.
de.jstacs.results	This package provides classes for results and sets of results.
de.jstacs.sampling	This package contains many classes that can be used while a sampling.
de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures	Provides the facilities to learn the structure of a BayesianNetworkDiffSM.
de.jstacs.sequenceScores.statisticalModels.trainable.discrete
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.parameters
de.jstacs.sequenceScores.statisticalModels.trainable.hmm.training	The package provides all classes used to determine the training algorithm of a hidden Markov model

Uses of SimpleParameter.IllegalValueException in de.jstacs.algorithms.optimization.termination

Constructors in de.jstacs.algorithms.optimization.termination that throw SimpleParameter.IllegalValueException

AbsoluteValueCondition.AbsoluteValueConditionParameterSet(double absValue)
This constructor creates a filled instance of a parameters set.

IterationCondition.IterationConditionParameterSet(int maxIter)
This constructor creates a filled instance of a parameters set.

SmallGradientConditon.SmallGradientConditonParameterSet(double eps)
This constructor creates a filled instance of a parameters set.

SmallStepCondition.SmallStepConditionParameterSet(double eps)
This constructor creates a filled instance of a parameters set.

TimeCondition.TimeConditionParameterSet(double seconds)
This constructor creates a filled instance of a parameters set.

Uses of SimpleParameter.IllegalValueException in de.jstacs.classifiers.assessment

Methods in de.jstacs.classifiers.assessment that throw SimpleParameter.IllegalValueException

protected SimpleParameterSet	RepeatedHoldOutAssessParameterSet.getParameterSetContainingASingleDoubleValue(double percent) Creates a new ParameterSet containing a single double-SimpleParameter.
protected void	ClassifierAssessment.test(NumericalPerformanceMeasureParameterSet mp, boolean exception, DataSet... testS) Uses the given test samples to call the evaluate( ... ) -methods of the local AbstractClassifiers.

Constructors in de.jstacs.classifiers.assessment that throw SimpleParameter.IllegalValueException

ClassifierAssessmentAssessParameterSet(int elementLength, boolean exceptionIfMPNotComputable)
Constructs a new ClassifierAssessmentAssessParameterSet with given parameter values.

RepeatedSubSamplingAssessParameterSet()
Constructs a new RepeatedSubSamplingAssessParameterSet with empty parameter values.

RepeatedSubSamplingAssessParameterSet(int elementLength, boolean exceptionIfMPNotComputable, int repeats, int[] trainNumbers, int[] testNumbers)
Constructs a new RepeatedSubSamplingAssessParameterSet with given parameter values.

Uses of SimpleParameter.IllegalValueException in de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix

Methods in de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix that throw SimpleParameter.IllegalValueException

void	GenDisMixClassifierParameterSet.setNumberOfThreads(int threads) This method set the number of threads used during optimization.
void	GenDisMixClassifier.setNumberOfThreads(int threads) This method allows to set the number of threads used while optimization.

Uses of SimpleParameter.IllegalValueException in de.jstacs.classifiers.differentiableSequenceScoreBased.sampling

Methods in de.jstacs.classifiers.differentiableSequenceScoreBased.sampling that throw SimpleParameter.IllegalValueException

void	SamplingScoreBasedClassifierParameterSet.setNumberOfStarts(int i) Sets the number of starts to i

Uses of SimpleParameter.IllegalValueException in de.jstacs.classifiers.performanceMeasures

Methods in de.jstacs.classifiers.performanceMeasures that throw SimpleParameter.IllegalValueException

void	PerformanceMeasureParameterSet.addMeasure(AbstractPerformanceMeasure measure) Deprecated.
protected void	PerformanceMeasureParameterSet.setMeasure(AbstractPerformanceMeasure measure) Sets the given measure as content of the internally last ParameterSetContainer.

Uses of SimpleParameter.IllegalValueException in de.jstacs.parameters

Methods in de.jstacs.parameters that throw SimpleParameter.IllegalValueException

protected void	AbstractSelectionParameter.createParameterSet(Object[] values, String[] keys, String[] comments) Creates a new ParameterSet from an array of values, an array of names and an array of comments.
void	ParameterSetTagger.fillParameters(String delimiter, String... args)
boolean	RangeParameter.next() Returns true if the next element still exists and can be fetched using RangeParameter.getValue(), false otherwise.
void	SimpleParameter.setDefault(Object defaultValue)
void	SelectionParameter.setDefault(Object defaultValue)
void	MultiSelectionParameter.setDefault(Object defaultValue)
void	FileParameter.setDefault(Object defaultValue)
void	EnumParameter.setDefault(Object defaultValue)
void	SimpleParameter.setValue(Object value2)
void	SelectionParameter.setValue(Object value) Sets the selected value to the one that is specified by the key value.
void	RangeParameter.setValue(Object value)
void	ParameterSetContainer.setValue(Object value)
abstract void	Parameter.setValue(Object value) Sets the value of this Parameter to value.
void	MultiSelectionParameter.setValue(Object value)
void	FileParameter.setValue(Object value)
void	EnumParameter.setValue(Object value)
void	ParameterSetTagger.setValueFromTag(String tag, Object value) This method allows to easily set the value of a parameter defined by the tag.
void	RangeParameter.setValues(Object startValue, int steps, Object endValue, RangeParameter.Scale scale) Sets the values of this RangeParameter as a range of values, specified by a start value, a last value, a number of steps between these values (without the last value) and a scale in that the values between the first and the last value are chosen.
void	RangeParameter.setValues(String values) Sets a list of values from a String containing a space separated list of values.
void	RangeParameter.setValuesInLogScale(boolean log, double radix, Object startValue, int steps, Object endValue) This method enables you to set a list of values in an easy manner.

Constructors in de.jstacs.parameters that throw SimpleParameter.IllegalValueException

AbstractSelectionParameter(DataType datatype, String[] keys, Object[] values, String[] comments, String name, String comment, boolean required)
Constructor for a AbstractSelectionParameter.

AbstractSelectionParameter(DataType datatype, String[] keys, Object[] values, String name, String comment, boolean required)
Constructor for a AbstractSelectionParameter of SimpleParameters.

ArrayParameterSet(ParameterSet template, String nameTemplate, String commentTemplate)
Creates a new ArrayParameterSet from a Class that can be instantiated using this ArrayParameterSet and templates for the ParameterSet in each element of the array, the name and the comment that are displayed for the ParameterSetContainers enclosing the ParameterSets.

ArrayParameterSet(ParameterSet template, String nameTemplate, String commentTemplate, String lengthName, String lengthComment, NumberValidator<Integer> allowedLengths)
Creates a new ArrayParameterSet from a Class that can be instantiated using this ArrayParameterSet and templates for the ParameterSet in each element of the array, the name and the comment that are displayed for the ParameterSetContainers enclosing the ParameterSets.

MultiSelectionParameter(DataType datatype, String[] keys, Object[] values, String[] comments, String name, String comment, boolean required)
Constructor for a MultiSelectionParameter.

MultiSelectionParameter(DataType datatype, String[] keys, Object[] values, String name, String comment, boolean required)
Constructor for a MultiSelectionParameter.

SelectionParameter(DataType datatype, String[] keys, Object[] values, String[] comments, String name, String comment, boolean required)
Constructor for a SelectionParameter.

SelectionParameter(DataType datatype, String[] keys, Object[] values, String name, String comment, boolean required)
Constructor for a SelectionParameter.

SimpleParameter(DataType datatype, String name, String comment, boolean required, Object defaultVal)
Constructor for a SimpleParameter without ParameterValidator but with a default value.

Uses of SimpleParameter.IllegalValueException in de.jstacs.results

Methods in de.jstacs.results that throw SimpleParameter.IllegalValueException

void	MeanResultSet.addResults(NumericalResultSet... rs) Adds NumericalResultSets to this MeanResultSet.
static Result	Result.createResult(String name, String comment, DataType datatype, Object value) Factory method to create a new Result.

Constructors in de.jstacs.results that throw SimpleParameter.IllegalValueException

CategoricalResult(DataType datatype, String name, String comment, Comparable result)
Creates a result of a primitive categorical data type or a String .

Uses of SimpleParameter.IllegalValueException in de.jstacs.sampling

Constructors in de.jstacs.sampling that throw SimpleParameter.IllegalValueException

AbstractBurnInTestParameterSet(Class<? extends AbstractBurnInTest> instanceClass, int starts)
Creates a new AbstractBurnInTestParameterSet with pre-defined parameter values.

VarianceRatioBurnInTestParameterSet(int starts, double t)
Creates a new VarianceRatioBurnInTestParameterSet with pre-defined parameter values.

Uses of SimpleParameter.IllegalValueException in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures

Constructors in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures that throw SimpleParameter.IllegalValueException

InhomogeneousMarkov.InhomogeneousMarkovParameterSet(int order)
Creates a new InhomogeneousMarkov.InhomogeneousMarkovParameterSet with the parameter for the order set to order.

InhomogeneousMarkov(int order)
Creates the structure of an inhomogeneous Markov model of order order.

Uses of SimpleParameter.IllegalValueException in de.jstacs.sequenceScores.statisticalModels.trainable.discrete

Methods in de.jstacs.sequenceScores.statisticalModels.trainable.discrete that throw SimpleParameter.IllegalValueException

void	DGTrainSMParameterSet.setEss(double ess) This method can be used to set the ess (equivalent sample size) of this parameter set.

Uses of SimpleParameter.IllegalValueException in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.parameters

Methods in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.parameters that throw SimpleParameter.IllegalValueException

void	BayesianNetworkTrainSMParameterSet.setModelType(String modelType) This method allows a simple change of the model type.

Uses of SimpleParameter.IllegalValueException in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.training

Constructors in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.training that throw SimpleParameter.IllegalValueException

HMMTrainingParameterSet(int starts)
This constructor can be used to create an instance with a specified number of starts.

SamplingHMMTrainingParameterSet(int starts, int stepsPerIteration, int stationarySteps, AbstractBurnInTestParameterSet burnInTestParameters)
This is the main constructor creating an already filled parameter set for training an AbstractHMM using a sampling strategy.