Package opennlp.tools.ml.maxent.quasinewton

package opennlp.tools.ml.maxent.quasinewton

Package related to ML by means of the Quasi Newton (QN) algorithm.

Related Packages

Package	Description
opennlp.tools.ml.maxent	Package related to ML by means of the Maximum Entropy (ME) algorithm.
opennlp.tools.ml.maxent.io	Package related to the I/O functionality of the maxent package including reading and writing models in several formats.

Class	Description
Function	Interface for a function.
LineSearch	Performs line search to find a minimum.
LineSearch.LineSearchResult	Represents a LineSearch result encapsulating the relevant data at a point in time during computation.
NegLogLikelihood	Evaluates negative log-likelihood and its gradient from DataIndexer.
ParallelNegLogLikelihood	Evaluates negative log-likelihood and its gradient in parallel.
QNMinimizer	Implementation of the Limited memory Broyden-Fletcher-Goldfarb-Shanno algorithm (L-BFGS) which supports L1-, L2-regularization and Elastic Net for solving convex optimization problems.
QNMinimizer.Evaluator	Evaluate the quality of training parameters.
QNMinimizer.L2RegFunction	L2-regularized objective Function.
QNModel	A maximum entropy model which has been trained via the L-BFGS algorithm , which belongs to the group of Quasi Newton (QN) algorithms.
QNTrainer	A Maxent model trainer using the L-BFGS algorithm.