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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.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.classifier.scoringFunctionBased.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 f: R^n -> R . |
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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 f: R^n -> R . |
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OneDimensionalFunction
This class implements the interface Function for an one-dimensional
function. |
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Optimizer.TerminationCondition
This enum defines all kinds of termination conditions for
the Optimizer . |
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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.classifier.scoringFunctionBased | |
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DifferentiableFunction
This class is the framework for any (at least) one time differentiable function f: R^n -> R . |
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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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Function
This interface is the framework for any mathematical function f: R^n -> R . |
Classes in de.jstacs.algorithms.optimization used by de.jstacs.classifier.scoringFunctionBased.cll | |
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DifferentiableFunction
This class is the framework for any (at least) one time differentiable function f: R^n -> R . |
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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 f: R^n -> R . |
Classes in de.jstacs.algorithms.optimization used by de.jstacs.classifier.scoringFunctionBased.logPrior | |
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DifferentiableFunction
This class is the framework for any (at least) one time differentiable function f: R^n -> R . |
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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 f: R^n -> R . |
Classes in de.jstacs.algorithms.optimization used by de.jstacs.motifDiscovery | |
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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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