Verwendungen von Schnittstelle
opennlp.tools.ml.maxent.quasinewton.Function

Packages, die Function verwenden

Package	Beschreibung
opennlp.tools.ml.maxent.quasinewton	Package related to ML by means of the Quasi Newton (QN) algorithm.

Verwendungen von Function in opennlp.tools.ml.maxent.quasinewton

Klassen in opennlp.tools.ml.maxent.quasinewton, die Function implementieren

Modifizierer und Typ	Klasse	Beschreibung
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.

Methoden in opennlp.tools.ml.maxent.quasinewton mit Parametern vom Typ Function

Modifizierer und Typ	Methode	Beschreibung
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 (see Nocedal & Wright 2006, Numerical Optimization, p. 37).
double[]	QNMinimizer.minimize(Function function)	Finds the parameters that minimize the objective function.

Konstruktoren in opennlp.tools.ml.maxent.quasinewton mit Parametern vom Typ Function

Modifizierer	Konstruktor	Beschreibung
	L2RegFunction(Function f, double l2Cost)