(DataPoint data)
| 424 | } |
| 425 | |
| 426 | @Override |
| 427 | public CategoricalResults classify(DataPoint data) |
| 428 | { |
| 429 | if(w == null) |
| 430 | throw new UntrainedModelException("Model has not yet ben trained"); |
| 431 | CategoricalResults cr = new CategoricalResults(2); |
| 432 | double score = getScore(data); |
| 433 | if(score < 0) |
| 434 | cr.setProb(0, 1.0); |
| 435 | else |
| 436 | cr.setProb(1, 1.0); |
| 437 | return cr; |
| 438 | } |
| 439 | |
| 440 | @Override |
| 441 | public double getScore(DataPoint dp) |