Interface | Description |
---|---|
Function |
Interface for a function
|
QNMinimizer.Evaluator |
Evaluate quality of training parameters.
|
Class | Description |
---|---|
ArrayMath | Deprecated |
LineSearch |
Class that performs line search to find minimum
|
LineSearch.LineSearchResult |
Class to store lineSearch result
|
NegLogLikelihood |
Evaluate negative log-likelihood and its gradient from DataIndexer.
|
ParallelNegLogLikelihood |
Evaluate negative log-likelihood and its gradient in parallel
|
QNMinimizer |
Implementation of L-BFGS which supports L1-, L2-regularization
and Elastic Net for solving convex optimization problems.
|
QNMinimizer.L2RegFunction |
L2-regularized objective function
|
QNModel | |
QNTrainer |
Maxent model trainer using L-BFGS algorithm.
|
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