Uses of Interface
opennlp.tools.ml.maxent.quasinewton.Function

Packages that use Function

Package	Description
opennlp.tools.ml.maxent.quasinewton

Uses of Function in opennlp.tools.ml.maxent.quasinewton

Classes in opennlp.tools.ml.maxent.quasinewton that implement Function

Modifier and Type	Class and Description
class	NegLogLikelihood Evaluate negative log-likelihood and its gradient from DataIndexer.
class	ParallelNegLogLikelihood Evaluate negative log-likelihood and its gradient in parallel
static class	QNMinimizer.L2RegFunction L2-regularized objective function

Methods in opennlp.tools.ml.maxent.quasinewton with parameters of type Function

Modifier and Type	Method and Description
static void	LineSearch.doConstrainedLineSearch(Function function, double[] direction, LineSearch.LineSearchResult lsr, double l1Cost, double initialStepSize) 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) Backtracking line search (see Nocedal & Wright 2006, Numerical Optimization, p. 37)
double[]	QNMinimizer.minimize(Function function) Find the parameters that minimize the objective function

Constructors in opennlp.tools.ml.maxent.quasinewton with parameters of type Function

Constructor and Description
QNMinimizer.L2RegFunction(Function f, double l2Cost)