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	Description
class	NegLogLikelihood	Evaluates negative log-likelihood and its gradient from DataIndexer.
class	ParallelNegLogLikelihood	Evaluates 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	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.
double[]	QNMinimizer.minimize(Function function)	Finds the parameters that minimize the objective function.

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

Modifier	Constructor	Description
	L2RegFunction(Function f, double l2Cost)