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Packages that use ParameterSet | |
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de.jstacs.algorithms.optimization.termination | |
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.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.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 |
de.jstacs.utils.galaxy |
Uses of ParameterSet in de.jstacs.algorithms.optimization.termination |
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Uses of ParameterSet in de.jstacs.classifier.assessment |
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Subclasses of ParameterSet in de.jstacs.classifier.assessment | |
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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 ParameterSet in de.jstacs.classifier.scoringFunctionBased |
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Subclasses of ParameterSet in de.jstacs.classifier.scoringFunctionBased | |
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class |
ScoreClassifierParameterSet
A set of Parameter s for any
ScoreClassifier . |
Uses of ParameterSet in de.jstacs.classifier.scoringFunctionBased.gendismix |
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Subclasses of ParameterSet in de.jstacs.classifier.scoringFunctionBased.gendismix | |
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class |
GenDisMixClassifierParameterSet
This class contains the parameters for the GenDisMixClassifier . |
Uses of ParameterSet in de.jstacs.classifier.scoringFunctionBased.sampling |
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Subclasses of ParameterSet in de.jstacs.classifier.scoringFunctionBased.sampling | |
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class |
SamplingGenDisMixClassifierParameterSet
ParameterSet to instantiate a SamplingGenDisMixClassifier . |
class |
SamplingScoreBasedClassifierParameterSet
ParameterSet to instantiate a SamplingScoreBasedClassifier . |
Uses of ParameterSet in de.jstacs.data |
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Subclasses of ParameterSet 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 . |
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 ParameterSet in de.jstacs.data.alphabets |
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Subclasses of ParameterSet 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 . |
static class |
GenericComplementableDiscreteAlphabet.GenericComplementableDiscreteAlphabetParameterSet
This class is used as container for the parameters of a GenericComplementableDiscreteAlphabet . |
Uses of ParameterSet in de.jstacs.io |
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Methods in de.jstacs.io with parameters of type ParameterSet | |
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static InstantiableFromParameterSet |
ParameterSetParser.getInstanceFromParameterSet(ParameterSet pars,
Class instanceClass)
Returns an instance of a subclass of InstantiableFromParameterSet
that can be instantiated by the ParameterSet pars . |
Uses of ParameterSet in de.jstacs.models.discrete |
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Subclasses of ParameterSet in de.jstacs.models.discrete | |
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class |
DGMParameterSet
The super ParameterSet for any parameter set of
a DiscreteGraphicalModel . |
Uses of ParameterSet in de.jstacs.models.discrete.homogeneous.parameters |
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Subclasses of ParameterSet 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 ParameterSet in de.jstacs.models.discrete.inhomogeneous.parameters |
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Subclasses of ParameterSet in de.jstacs.models.discrete.inhomogeneous.parameters | |
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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 ParameterSet in de.jstacs.models.hmm |
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Subclasses of ParameterSet in de.jstacs.models.hmm | |
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class |
HMMTrainingParameterSet
This class implements an abstract ParameterSet that is used for the training of an AbstractHMM . |
Uses of ParameterSet in de.jstacs.models.hmm.training |
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Subclasses of ParameterSet in de.jstacs.models.hmm.training | |
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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 ParameterSet in de.jstacs.parameters |
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Subclasses of ParameterSet in de.jstacs.parameters | |
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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 |
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() . |
Fields in de.jstacs.parameters declared as ParameterSet | |
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protected ParameterSet |
Parameter.neededReference
In cases, when the validity of some ParameterSet depends on the
value of this Parameter , this variable holds a reference to that
ParameterSet . |
protected ParameterSet |
CollectionParameter.parameters
The internal ParameterSet that holds the possible values |
protected ParameterSet |
Parameter.parent
If this Parameter is enclosed in a ParameterSet , this
variable holds a reference to that ParameterSet . |
protected ParameterSet |
ExpandableParameterSet.template
The template for each ParameterSet |
Methods in de.jstacs.parameters that return ParameterSet | |
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ParameterSet |
ParameterSet.clone()
Creates a full clone (deep copy) of this ParameterSet . |
ParameterSet |
RangeParameter.getNeededReference()
|
ParameterSet |
Parameter.getNeededReference()
Returns a reference to a ParameterSet whose
hasDefaultOrIsSet() -method depends on the value of
this Parameter . |
ParameterSet |
CollectionParameter.getParametersInCollection()
Returns the possible values in this collection. |
ParameterSet |
Parameter.getParent()
Returns a reference to the ParameterSet enclosing this
Parameter . |
ParameterSet |
ParameterSetContainer.getValue()
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Methods in de.jstacs.parameters with parameters of type ParameterSet | |
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boolean |
ExpandableParameterSet.replaceContentWith(ParameterSet[] paramSetArray)
First removes all previous added ParameterSetContainer s and
afterwards adds all given ParameterSet s (in the given order)
enclosed in new ParameterSetContainer s. |
void |
RangeParameter.setNeededReference(ParameterSet reference)
|
void |
Parameter.setNeededReference(ParameterSet reference)
Sets an internal reference to a ParameterSet whose validity
depends on the value of this Parameter . |
void |
Parameter.setParent(ParameterSet parent)
Sets the reference of the enclosing ParameterSet of this
Parameter to parent . |
Constructors in de.jstacs.parameters with parameters of type ParameterSet | |
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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 ParameterSetContainer s
enclosing the ParameterSet s. |
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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 ParameterSetContainer s
enclosing the ParameterSet s. |
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CollectionParameter(ParameterSet[] values,
String[] keys,
String[] comments,
String name,
String comment,
boolean required)
Constructor for a CollectionParameter from an array of
ParameterSet s. |
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CollectionParameter(ParameterSet options,
int selected,
int defaultSelected,
boolean userSelected,
String name,
String comment,
boolean required,
DataType datatype,
String errorMessage,
boolean rangeable)
Creates a new CollectionParameter from the necessary field. |
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ExpandableParameterSet(ParameterSet[] templateAndContent,
String nameTemplate,
String commentTemplate)
Creates a new ExpandableParameterSet from a ParameterSet
-array. |
|
ExpandableParameterSet(ParameterSet template,
String nameTemplate,
String commentTemplate)
Creates a new ExpandableParameterSet from a Class that
can be instantiated using this ExpandableParameterSet and
templates for the ParameterSet in each element of the array, the
name and the comment that are displayed for the
ParameterSetContainer s enclosing the ParameterSet s. |
|
ExpandableParameterSet(ParameterSet template,
String nameTemplate,
String commentTemplate,
int initCount)
Creates a new ExpandableParameterSet from a Class that
can be instantiated using this ExpandableParameterSet and
templates for the ParameterSet in each element of the array, the
name and the comment that are displayed for the
ParameterSetContainer s enclosing the ParameterSet s. |
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MultiSelectionCollectionParameter(ParameterSet[] values,
String[] keys,
String[] comments,
String name,
String comment,
boolean required)
Creates a new MultiSelectionCollectionParameter from an array of
ParameterSet s. |
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MultiSelectionCollectionParameter(ParameterSet options,
boolean[] selected,
boolean[] defaultSelected,
boolean userSelected,
String name,
String comment,
boolean required,
DataType datatype,
String errorMessage,
int current,
boolean makeRanged)
Creates a new MultiSelectionCollectionParameter from the
necessary field. |
|
ParameterSetContainer(String name,
String comment,
ParameterSet content)
Creates an new ParameterSetContainer out of a
ParameterSet . |
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ParameterSetTagger(String[] tags,
ParameterSet... sets)
The constructor creates an new instance by collecting and tagging all parameters of the ParameterSet s. |
Uses of ParameterSet in de.jstacs.sampling |
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Subclasses of ParameterSet in de.jstacs.sampling | |
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class |
AbstractBurnInTestParameterSet
Class for the parameters of a AbstractBurnInTest . |
class |
VarianceRatioBurnInTestParameterSet
Class for the parameters of a VarianceRatioBurnInTest . |
Uses of ParameterSet in de.jstacs.scoringFunctions.directedGraphicalModels |
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Subclasses of ParameterSet in de.jstacs.scoringFunctions.directedGraphicalModels | |
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class |
BayesianNetworkScoringFunctionParameterSet
Class for the parameters of a BayesianNetworkScoringFunction . |
Uses of ParameterSet in de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures |
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Subclasses of ParameterSet 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 . |
Uses of ParameterSet in de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures.btMeasures |
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Subclasses of ParameterSet 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 . |
Uses of ParameterSet in de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures.pmmMeasures |
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Subclasses of ParameterSet 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 . |
Uses of ParameterSet in de.jstacs.utils.galaxy |
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Constructors in de.jstacs.utils.galaxy with parameters of type ParameterSet | |
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GalaxyAdaptor(ParameterSet parameters,
String toolname,
String description,
String version,
String command)
Creates a new GalaxyAdaptor from a given ParameterSet containing all parameters
that are necessary for a program is shall be included in a Galaxy installation. |
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