Uses of Class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult (Apache OpenNLP Tools 2.5.9 API)
Description: use: package: opennlp.tools.ml.maxent.quasinewton, class: LineSearch, class: LineSearchResult

# Uses of Class
opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult

Packages that use LineSearch.LineSearchResult
Package
Description
opennlp.tools.ml.maxent.quasinewton
Package related to ML by means of the Quasi Newton (QN) algorithm.

- ## Uses of LineSearch.LineSearchResult in opennlp.tools.ml.maxent.quasinewton

  Methods in opennlp.tools.ml.maxent.quasinewton that return LineSearch.LineSearchResult
  Modifier and Type
  Method
  Description
  `static 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.LineSearchResult
  Modifier and Type
  Method
  Description
  `static 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.