| 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. 
 | 
Copyright © 2021 The Apache Software Foundation. All rights reserved.