Compute softmax probability over raw logits.
(scores)
| 309 | |
| 310 | |
| 311 | def _compute_softmax(scores): |
| 312 | """Compute softmax probability over raw logits.""" |
| 313 | if not scores: |
| 314 | return [] |
| 315 | |
| 316 | max_score = None |
| 317 | for score in scores: |
| 318 | if max_score is None or score > max_score: |
| 319 | max_score = score |
| 320 | |
| 321 | exp_scores = [] |
| 322 | total_sum = 0.0 |
| 323 | for score in scores: |
| 324 | x = math.exp(score - max_score) |
| 325 | exp_scores.append(x) |
| 326 | total_sum += x |
| 327 | |
| 328 | probs = [] |
| 329 | for score in exp_scores: |
| 330 | probs.append(score / total_sum) |
| 331 | return probs |
| 332 | |
| 333 | |
| 334 | def get_predictions(doc_tokens, features, results, n_best_size, max_answer_length): |
no test coverage detected