(DataPoint data)
| 194 | } |
| 195 | |
| 196 | @Override |
| 197 | public CategoricalResults classify(DataPoint data) |
| 198 | { |
| 199 | if(w == null) |
| 200 | throw new UntrainedModelException("Model has not been trained"); |
| 201 | double wx = getScore(data); |
| 202 | CategoricalResults cr = new CategoricalResults(2); |
| 203 | if(wx < 0) |
| 204 | cr.setProb(0, 1.0); |
| 205 | else |
| 206 | cr.setProb(1, 1.0); |
| 207 | return cr; |
| 208 | } |
| 209 | |
| 210 | @Override |
| 211 | public double getScore(DataPoint dp) |