Mercurial > repos > bgruening > sklearn_model_validation
comparison model_validation.xml @ 30:4b359039f09f draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ea12f973df4b97a2691d9e4ce6bf6fae59d57717"
| author | bgruening |
|---|---|
| date | Sat, 01 May 2021 01:03:56 +0000 |
| parents | 9b017b0da56e |
| children | 1fe00785190d |
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| 29:de360b57a5ab | 30:4b359039f09f |
|---|---|
| 236 else: | 236 else: |
| 237 rval = pd.DataFrame(predicted) | 237 rval = pd.DataFrame(predicted) |
| 238 elif selected_function == 'learning_curve': | 238 elif selected_function == 'learning_curve': |
| 239 try: | 239 try: |
| 240 train_sizes = safe_eval(options['train_sizes']) | 240 train_sizes = safe_eval(options['train_sizes']) |
| 241 except: | 241 except Exception: |
| 242 sys.exit("Unsupported train_sizes input! Supports int/float in tuple and array-like structure.") | 242 sys.exit("Unsupported train_sizes input! Supports int/float in tuple and array-like structure.") |
| 243 if type(train_sizes) is tuple: | 243 if type(train_sizes) is tuple: |
| 244 train_sizes = np.linspace(*train_sizes) | 244 train_sizes = np.linspace(*train_sizes) |
| 245 options['train_sizes'] = train_sizes | 245 options['train_sizes'] = train_sizes |
| 246 train_sizes_abs, train_scores, test_scores = validator(estimator, X, y, **options) | 246 train_sizes_abs, train_scores, test_scores = validator(estimator, X, y, **options) |