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Packages that use InstanceParameterSet | |
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de.jstacs | This package is the root package for the most and important packages. |
de.jstacs.classifier.scoringFunctionBased | Provides the classes for Classifier s that are based on ScoringFunction s. |
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.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.io | Provides classes for reading data from and writing to a file and storing a number of datatypes, including all primitives, arrays of primitives, and Storable s to an XML-representation |
de.jstacs.models.discrete | |
de.jstacs.models.discrete.homogeneous.parameters | |
de.jstacs.models.discrete.inhomogeneous.parameters | |
de.jstacs.models.mixture.gibbssampling | This package contains many classes that can be used while a Gibbs sampling. |
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.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 |
de.jstacs.utils | This package contains a bundle of useful classes and interfaces like ... |
Uses of InstanceParameterSet in de.jstacs |
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Methods in de.jstacs that return InstanceParameterSet | |
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InstanceParameterSet |
InstantiableFromParameterSet.getCurrentParameterSet()
Returns the InstanceParameterSet that has been used to
instantiate the current instance of the implementing class. |
Uses of InstanceParameterSet in de.jstacs.classifier.scoringFunctionBased |
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Subclasses of InstanceParameterSet in de.jstacs.classifier.scoringFunctionBased | |
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class |
ScoreClassifierParameterSet
A set of Parameter s for any
ScoreClassifier . |
Uses of InstanceParameterSet in de.jstacs.classifier.scoringFunctionBased.cll |
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Subclasses of InstanceParameterSet in de.jstacs.classifier.scoringFunctionBased.cll | |
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class |
CLLClassifierParameterSet
This class contains the parameters for the CLLClassifier . |
Uses of InstanceParameterSet in de.jstacs.data |
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Subclasses of InstanceParameterSet in de.jstacs.data | |
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static class |
Alphabet.AlphabetParameterSet
The super class for the InstanceParameterSet of any
Alphabet . |
class |
AlphabetContainerParameterSet
Class for the AlphabetContainerParameterSet.SectionDefinedAlphabetParameterSet of an AlphabetContainer . |
Uses of InstanceParameterSet in de.jstacs.data.alphabets |
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Subclasses of InstanceParameterSet in de.jstacs.data.alphabets | |
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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 . |
Uses of InstanceParameterSet in de.jstacs.io |
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Methods in de.jstacs.io with parameters of type InstanceParameterSet | |
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static InstantiableFromParameterSet |
ParameterSetParser.getInstanceFromParameterSet(InstanceParameterSet pars)
Returns an instance of a subclass of InstantiableFromParameterSet
that can be instantiated by the InstanceParameterSet
pars . |
Uses of InstanceParameterSet in de.jstacs.models.discrete |
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Subclasses of InstanceParameterSet in de.jstacs.models.discrete | |
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class |
DGMParameterSet
The super ParameterSet for any parameter set of
a DiscreteGraphicalModel . |
Uses of InstanceParameterSet in de.jstacs.models.discrete.homogeneous.parameters |
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Subclasses of InstanceParameterSet in de.jstacs.models.discrete.homogeneous.parameters | |
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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 InstanceParameterSet in de.jstacs.models.discrete.inhomogeneous.parameters |
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Subclasses of InstanceParameterSet in de.jstacs.models.discrete.inhomogeneous.parameters | |
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class |
BayesianNetworkModelParameterSet
The ParameterSet for the class
BayesianNetworkModel . |
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 InstanceParameterSet in de.jstacs.models.mixture.gibbssampling |
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Subclasses of InstanceParameterSet in de.jstacs.models.mixture.gibbssampling | |
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class |
FSDAGModelForGibbsSamplingParameterSet
The class for the parameters of a FSDAGModelForGibbsSampling . |
Uses of InstanceParameterSet in de.jstacs.parameters |
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Subclasses of InstanceParameterSet in de.jstacs.parameters | |
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class |
SequenceScoringParameterSet
Abstract class for a ParameterSet containing all parameters necessary
to construct an Object that implements
InstantiableFromParameterSet . |
Constructors in de.jstacs.parameters with parameters of type InstanceParameterSet | |
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CollectionParameter(InstanceParameterSet[] values,
String name,
String comment,
boolean required)
Constructor for a CollectionParameter from an array of
ParameterSet s. |
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MultiSelectionCollectionParameter(InstanceParameterSet[] values,
String name,
String comment,
boolean required)
Creates a new MultiSelectionCollectionParameter from an array of
ParameterSet s. |
Uses of InstanceParameterSet in de.jstacs.scoringFunctions.directedGraphicalModels |
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Subclasses of InstanceParameterSet in de.jstacs.scoringFunctions.directedGraphicalModels | |
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class |
BayesianNetworkScoringFunctionParameterSet
Class for the parameters of a BayesianNetworkScoringFunction . |
Methods in de.jstacs.scoringFunctions.directedGraphicalModels that return InstanceParameterSet | |
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InstanceParameterSet |
BayesianNetworkScoringFunction.getCurrentParameterSet()
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Uses of InstanceParameterSet in de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures |
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Subclasses of InstanceParameterSet in de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures | |
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static class |
InhomogeneousMarkov.InhomogeneousMarkovParameterSet
Class for an InstanceParameterSet that defines the parameters of
an InhomogeneousMarkov structure Measure . |
Methods in de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures that return InstanceParameterSet | |
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InstanceParameterSet |
InhomogeneousMarkov.getCurrentParameterSet()
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Uses of InstanceParameterSet in de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures.btMeasures |
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Subclasses of InstanceParameterSet in de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures.btMeasures | |
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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 . |
Methods in de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures.btMeasures that return InstanceParameterSet | |
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InstanceParameterSet |
BTMutualInformation.getCurrentParameterSet()
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InstanceParameterSet |
BTExplainingAwayResidual.getCurrentParameterSet()
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Uses of InstanceParameterSet in de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures.pmmMeasures |
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Subclasses of InstanceParameterSet in de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures.pmmMeasures | |
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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 . |
Methods in de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures.pmmMeasures that return InstanceParameterSet | |
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InstanceParameterSet |
PMMMutualInformation.getCurrentParameterSet()
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InstanceParameterSet |
PMMExplainingAwayResidual.getCurrentParameterSet()
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Uses of InstanceParameterSet in de.jstacs.utils |
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Methods in de.jstacs.utils that return types with arguments of type InstanceParameterSet | |
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static LinkedList<Class<? extends InstanceParameterSet>> |
SubclassFinder.getParameterSetFor(Class<? extends InstantiableFromParameterSet> clazz)
Returns a LinkedList of the classes of the
InstanceParameterSet s that can be used to instantiate the
sub-class of InstantiableFromParameterSet that is given by
clazz |
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