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Packages that use de.jstacs.algorithms.optimization | |
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de.jstacs.algorithms.optimization | Provides classes for different types of algorithms that are not directly linked to the modelling components of Jstacs: Algorithms on graphs, algorithms for numerical optimization, and a basic alignment algorithm. |
de.jstacs.classifiers.differentiableSequenceScoreBased | Provides the classes for Classifier s that are based on SequenceScore s. |
de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix | Provides an implementation of a classifier that allows to train the parameters of a set of
DifferentiableStatisticalModel s by
a unified generative-discriminative learning principle |
de.jstacs.classifiers.differentiableSequenceScoreBased.logPrior | Provides a general definition of a parameter log-prior and a number of implementations of Laplace and Gaussian priors |
de.jstacs.motifDiscovery | This package provides the framework including the interface for any de novo motif discoverer |
Classes in de.jstacs.algorithms.optimization used by de.jstacs.algorithms.optimization | |
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DifferentiableFunction
This class is the framework for any (at least) one time differentiable function . |
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DimensionException
This class is for Exception s depending on wrong dimensions of vectors
for a given function. |
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EvaluationException
This class indicates that there was a problem to evaluate a function or the gradient of the function. |
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Function
This interface is the framework for any mathematical function . |
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OneDimensionalFunction
This class implements the interface Function for an one-dimensional
function. |
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StartDistanceForecaster
This interface is used to determine the next start distance that will be used in a line search. |
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TerminationException
This class is for an Exception that is thrown if something with a
termination was not correct. |
Classes in de.jstacs.algorithms.optimization used by de.jstacs.classifiers.differentiableSequenceScoreBased | |
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DifferentiableFunction
This class is the framework for any (at least) one time differentiable function . |
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DimensionException
This class is for Exception s depending on wrong dimensions of vectors
for a given function. |
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EvaluationException
This class indicates that there was a problem to evaluate a function or the gradient of the function. |
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Function
This interface is the framework for any mathematical function . |
Classes in de.jstacs.algorithms.optimization used by de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix | |
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DifferentiableFunction
This class is the framework for any (at least) one time differentiable function . |
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DimensionException
This class is for Exception s depending on wrong dimensions of vectors
for a given function. |
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EvaluationException
This class indicates that there was a problem to evaluate a function or the gradient of the function. |
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Function
This interface is the framework for any mathematical function . |
Classes in de.jstacs.algorithms.optimization used by de.jstacs.classifiers.differentiableSequenceScoreBased.logPrior | |
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DifferentiableFunction
This class is the framework for any (at least) one time differentiable function . |
|
DimensionException
This class is for Exception s depending on wrong dimensions of vectors
for a given function. |
|
EvaluationException
This class indicates that there was a problem to evaluate a function or the gradient of the function. |
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Function
This interface is the framework for any mathematical function . |
Classes in de.jstacs.algorithms.optimization used by de.jstacs.motifDiscovery | |
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DifferentiableFunction
This class is the framework for any (at least) one time differentiable function . |
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StartDistanceForecaster
This interface is used to determine the next start distance that will be used in a line search. |
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