Uses of Class
opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
Packages that use LineSearch.LineSearchResult
Package
Description
Package related to ML by means of the Quasi Newton (QN) algorithm.
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Uses of LineSearch.LineSearchResult in opennlp.tools.ml.maxent.quasinewton
Methods in opennlp.tools.ml.maxent.quasinewton that return LineSearch.LineSearchResultModifier and TypeMethodDescriptionstatic LineSearch.LineSearchResult
LineSearch.LineSearchResult.getInitialObject
(double valueAtX, double[] gradAtX, double[] x) Initial linear search object for L1-regularization.static LineSearch.LineSearchResult
LineSearch.LineSearchResult.getInitialObject
(double valueAtX, double[] gradAtX, double[] pseudoGradAtX, double[] x, double[] signX, int fctEvalCount) Initial linear search object for L1-regularization.static LineSearch.LineSearchResult
LineSearch.LineSearchResult.getInitialObjectForL1
(double valueAtX, double[] gradAtX, double[] pseudoGradAtX, double[] x) Initial linear search object for L1-regularization.Methods in opennlp.tools.ml.maxent.quasinewton with parameters of type LineSearch.LineSearchResultModifier and TypeMethodDescriptionstatic void
LineSearch.doConstrainedLineSearch
(Function function, double[] direction, LineSearch.LineSearchResult lsr, double l1Cost, double initialStepSize) Conducts a constrained line search (see section 3.2 in the paper "Scalable Training of L1-Regularized Log-Linear Models", Andrew et al. 2007)static void
LineSearch.doLineSearch
(Function function, double[] direction, LineSearch.LineSearchResult lsr, double initialStepSize) Conducts a backtracking line search.