| 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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