(DataPoint data)
| 200 | } |
| 201 | |
| 202 | @Override |
| 203 | public CategoricalResults classify(DataPoint data) |
| 204 | { |
| 205 | if(w == null) |
| 206 | throw new UntrainedModelException("The model has not yet been trained"); |
| 207 | double wx = getScore(data); |
| 208 | CategoricalResults cr =new CategoricalResults(2); |
| 209 | if(wx < 0) |
| 210 | cr.setProb(0, 1.0); |
| 211 | else |
| 212 | cr.setProb(1, 1.0); |
| 213 | return cr; |
| 214 | } |
| 215 | |
| 216 | @Override |
| 217 | public double getScore(DataPoint dp) |