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## Uses of Interface
de.jstacs.parameters.RangeIterator

Packages that use RangeIterator
de.jstacs.algorithms.optimization.termination |
de.jstacs.classifier | This package provides the framework for any classifier.
de.jstacs.classifier.assessment | This package allows to assess classifiers.
de.jstacs.classifier.scoringFunctionBased | Provides the classes for `Classifier`s that are based on `ScoringFunction`s.
de.jstacs.classifier.scoringFunctionBased.gendismix | Provides an implementation of a classifier that allows to train the parameters of a set of `NormalizableScoringFunction`s by a unified generative-discriminative learning principle
de.jstacs.classifier.scoringFunctionBased.sampling | Provides the classes for `AbstractScoreBasedClassifier`s that are based on `SamplingScoringFunction`s and that sample parameters using the Metropolis-Hastings algorithm.
de.jstacs.data | Provides classes for the representation of data.
de.jstacs.data.alphabets | Provides classes for the representation of discrete and continuous alphabets, including a `DNAAlphabet` for the most common case of DNA-sequences
de.jstacs.models.discrete |
de.jstacs.models.discrete.homogeneous.parameters |
de.jstacs.models.discrete.inhomogeneous.parameters |
de.jstacs.models.hmm | The package provides all interfaces and classes for a hidden Markov model (HMM).
de.jstacs.models.hmm.training | The package provides all classes used to determine the training algorithm of a hidden Markov model
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.sampling | This package contains many classes that can be used while a sampling.
de.jstacs.scoringFunctions.directedGraphicalModels | Provides `ScoringFunction`s that are equivalent to directed graphical models.
de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures | Provides the facilities to learn the structure of a `BayesianNetworkScoringFunction`.
de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures.btMeasures | Provides the facilities to learn the structure of a `BayesianNetworkScoringFunction` as a Bayesian tree using a number of measures to define a rating of structures
de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures.pmmMeasures | Provides the facilities to learn the structure of a `BayesianNetworkScoringFunction` as a permuted Markov model using a number of measures to define a rating of structures

Uses of RangeIterator in de.jstacs.algorithms.optimization.termination

Classes in de.jstacs.algorithms.optimization.termination that implement RangeIterator
`static class` | `AbsoluteValueCondition.AbsoluteValueConditionParameterSet` Deprecated. This class implements the parameter set for a `AbsoluteValueCondition`.
`static class` | `AbstractTerminationCondition.AbstractTerminationConditionParameterSet` This class implements the super class of all parameter sets of instances from `AbstractTerminationCondition`.
`static class` | `CombinedCondition.CombinedConditionParameterSet` This class implements the parameter set for a `CombinedCondition`.
`static class` | `IterationCondition.IterationConditionParameterSet` This class implements the parameter set for a `IterationCondition`.
`static class` | `SmallDifferenceOfFunctionEvaluationsCondition.SmallDifferenceOfFunctionEvaluationsConditionParameterSet` This class implements the parameter set for a `SmallDifferenceOfFunctionEvaluationsCondition`.
`static class` | `SmallGradientConditon.SmallGradientConditonParameterSet` This class implements the parameter set for a `SmallStepCondition`.
`static class` | `SmallStepCondition.SmallStepConditionParameterSet` This class implements the parameter set for a `SmallStepCondition`.
`static class` | `TimeCondition.TimeConditionParameterSet` This class implements the parameter set for a `TimeCondition`.

Uses of RangeIterator in de.jstacs.classifier

Classes in de.jstacs.classifier that implement RangeIterator
`class` | `MeasureParameters` This class holds the parameters for the `evaluate`-methods of a classifier.

Uses of RangeIterator in de.jstacs.classifier.assessment

Classes in de.jstacs.classifier.assessment that implement RangeIterator
`class` | `ClassifierAssessmentAssessParameterSet` This class is the superclass used by all `ClassifierAssessmentAssessParameterSet`s.
`class` | `KFoldCVAssessParameterSet` This class implements a `ClassifierAssessmentAssessParameterSet` that must be used to call method `assess( ... )` of a `KFoldCrossValidation`.
`class` | `RepeatedHoldOutAssessParameterSet` This class implements a `ClassifierAssessmentAssessParameterSet` that must be used to call method `assess( ... )` of a `RepeatedHoldOutExperiment`.
`class` | `RepeatedSubSamplingAssessParameterSet` This class implements a `ClassifierAssessmentAssessParameterSet` that must be used to call method `assess( ... )` of a `RepeatedSubSamplingExperiment`.
`class` | `Sampled_RepeatedHoldOutAssessParameterSet` This class implements a `ClassifierAssessmentAssessParameterSet` that must be used to call the method `assess( ... )` of a `Sampled_RepeatedHoldOutExperiment`.

Uses of RangeIterator in de.jstacs.classifier.scoringFunctionBased

Classes in de.jstacs.classifier.scoringFunctionBased that implement RangeIterator
`class` | `ScoreClassifierParameterSet` A set of `Parameter`s for any `ScoreClassifier`.

Uses of RangeIterator in de.jstacs.classifier.scoringFunctionBased.gendismix

Classes in de.jstacs.classifier.scoringFunctionBased.gendismix that implement RangeIterator
`class` | `GenDisMixClassifierParameterSet` This class contains the parameters for the `GenDisMixClassifier`.

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

Classes in de.jstacs.classifier.scoringFunctionBased.sampling that implement RangeIterator
`class` | `SamplingGenDisMixClassifierParameterSet` `ParameterSet` to instantiate a `SamplingGenDisMixClassifier`.
`class` | `SamplingScoreBasedClassifierParameterSet` `ParameterSet` to instantiate a `SamplingScoreBasedClassifier`.

Uses of RangeIterator in de.jstacs.data

Classes in de.jstacs.data that implement RangeIterator
`static class` | `Alphabet.AlphabetParameterSet` The super class for the `InstanceParameterSet` of any `Alphabet`.
`class` | `AlphabetContainerParameterSet` Class for the `AlphabetContainerParameterSet.SectionDefinedAlphabetParameterSet` of an `AlphabetContainer`.
`static class` | `AlphabetContainerParameterSet.AlphabetArrayParameterSet` Class for the parameters of an array of `Alphabet`s of defined length.
`static class` | `AlphabetContainerParameterSet.SectionDefinedAlphabetParameterSet` Class for the parameter set of an array of `Alphabet`s where each `Alphabet` may be used for one or more sections of positions.

Uses of RangeIterator in de.jstacs.data.alphabets

Classes in de.jstacs.data.alphabets that implement RangeIterator
`static class` | `ContinuousAlphabet.ContinuousAlphabetParameterSet` Class for the `ParameterSet` of a `ContinuousAlphabet`.
`static class` | `DiscreteAlphabet.DiscreteAlphabetParameterSet` Class for the `ParameterSet` of a `DiscreteAlphabet`.
`static class` | `DNAAlphabet.DNAAlphabetParameterSet` The parameter set for a `DNAAlphabet`.
`static class` | `GenericComplementableDiscreteAlphabet.GenericComplementableDiscreteAlphabetParameterSet` This class is used as container for the parameters of a `GenericComplementableDiscreteAlphabet`.

Uses of RangeIterator in de.jstacs.models.discrete

Classes in de.jstacs.models.discrete that implement RangeIterator
`class` | `DGMParameterSet` The super `ParameterSet` for any parameter set of a `DiscreteGraphicalModel`.

Uses of RangeIterator in de.jstacs.models.discrete.homogeneous.parameters

Classes in de.jstacs.models.discrete.homogeneous.parameters that implement RangeIterator
`class` | `HomMMParameterSet` This class implements a container for all parameters of a homogeneous Markov model.
`class` | `HomogeneousModelParameterSet` This class implements a container for all parameters of any homogeneous model.

Uses of RangeIterator in de.jstacs.models.discrete.inhomogeneous.parameters

Classes in de.jstacs.models.discrete.inhomogeneous.parameters that implement RangeIterator
`class` | `BayesianNetworkModelParameterSet` The `ParameterSet` for the class `BayesianNetworkModel`.
`class` | `FSDAGModelForGibbsSamplingParameterSet` The class for the parameters of a `FSDAGModelForGibbsSampling`.
`class` | `FSDAGMParameterSet` The class for the parameters of a `FSDAGModel` (fixed structure directed acyclic graphical model).
`class` | `IDGMParameterSet` This is the abstract container of parameters that is a root container for all inhomogeneous discrete graphical model parameter containers.

Uses of RangeIterator in de.jstacs.models.hmm

Classes in de.jstacs.models.hmm that implement RangeIterator
`class` | `HMMTrainingParameterSet` This class implements an abstract `ParameterSet` that is used for the training of an `AbstractHMM`.

Uses of RangeIterator in de.jstacs.models.hmm.training

Classes in de.jstacs.models.hmm.training that implement RangeIterator
`class` | `BaumWelchParameterSet` This class implements an `HMMTrainingParameterSet` for the Baum-Welch training of an `AbstractHMM`.
`class` | `MaxHMMTrainingParameterSet` This class is the super class for any `HMMTrainingParameterSet` that is used for a maximizing training algorithm of a hidden Markov model.
`class` | `NumericalHMMTrainingParameterSet` This class implements an `ParameterSet` for numerical training of an `AbstractHMM`.
`class` | `SamplingHMMTrainingParameterSet` This class contains the parameters for training training an `AbstractHMM` using a sampling strategy.
`class` | `ViterbiParameterSet` This class implements an `ParameterSet` for the viterbi training of an `AbstractHMM`.

Uses of RangeIterator in de.jstacs.parameters

Classes in de.jstacs.parameters that implement RangeIterator
`class` | `ArrayParameterSet` Class for a `ParameterSet` that consists of a length-`Parameter` that defines the length of the array and an array of `ParameterSetContainer`s of this length.
`class` | `ExpandableParameterSet` A class for a `ParameterSet` that can be expanded by additional `Parameter`s at runtime.
`class` | `InstanceParameterSet` Container class for a set of `Parameter`s that can be used to instantiate another class.
`class` | `MultiSelectionCollectionParameter` Class for a `Parameter` that provides a collection of possible values.
`class` | `ParameterSet` (Container) class for a set of `Parameter`s.
`class` | `ParameterSetContainer` Class for a `ParameterSetContainer` that contains a `ParameterSet` as value.
`class` | `RangeParameter` Class for a parameter wrapper that allows `SimpleParameter`s to be set to a set of values.
`class` | `SequenceScoringParameterSet` Abstract class for a `ParameterSet` containing all parameters necessary to construct an `Object` that implements `InstantiableFromParameterSet`.
`class` | `SimpleParameterSet` Class for a `ParameterSet` that is constructed from an array of `Parameter`s and thus does nothing in the method `SimpleParameterSet.loadParameters()`.

Uses of RangeIterator in de.jstacs.sampling

Classes in de.jstacs.sampling that implement RangeIterator
`class` | `AbstractBurnInTestParameterSet` Class for the parameters of a `AbstractBurnInTest`.
`class` | `VarianceRatioBurnInTestParameterSet` Class for the parameters of a `VarianceRatioBurnInTest`.

Uses of RangeIterator in de.jstacs.scoringFunctions.directedGraphicalModels

Classes in de.jstacs.scoringFunctions.directedGraphicalModels that implement RangeIterator
`class` | `BayesianNetworkScoringFunctionParameterSet` Class for the parameters of a `BayesianNetworkScoringFunction`.

Uses of RangeIterator in de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures

Classes in de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures that implement RangeIterator
`static class` | `InhomogeneousMarkov.InhomogeneousMarkovParameterSet` Class for an `InstanceParameterSet` that defines the parameters of an `InhomogeneousMarkov` structure `Measure`.

Uses of RangeIterator in de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures.btMeasures

Classes in de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures.btMeasures that implement RangeIterator
`static class` | `BTExplainingAwayResidual.BTExplainingAwayResidualParameterSet` Class for the parameters of a `BTExplainingAwayResidual` structure `Measure`.
`static class` | `BTMutualInformation.BTMutualInformationParameterSet` Class for the parameters of a `BTMutualInformation` structure `Measure`.

Uses of RangeIterator in de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures.pmmMeasures

Classes in de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures.pmmMeasures that implement RangeIterator
`static class` | `PMMExplainingAwayResidual.PMMExplainingAwayResidualParameterSet` Class for the parameters of a `PMMExplainingAwayResidual` structure `Measure`.
`static class` | `PMMMutualInformation.PMMMutualInformationParameterSet` Class for the parameters of a `PMMMutualInformation` structure `Measure`.

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