Mercurial > repos > bgruening > ml_visualization_ex
comparison test-data/get_params06.tabular @ 0:f96efab83b65 draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ba6a47bdf76bbf4cb276206ac1a8cbf61332fd16"
| author | bgruening |
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| date | Fri, 13 Sep 2019 12:23:39 -0400 |
| parents | |
| children |
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| -1:000000000000 | 0:f96efab83b65 |
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| 1 Parameter Value | |
| 2 * memory memory: None | |
| 3 * steps "steps: [('pca', PCA(copy=True, iterated_power='auto', n_components=None, random_state=None, | |
| 4 svd_solver='auto', tol=0.0, whiten=False)), ('adaboostregressor', AdaBoostRegressor(base_estimator=None, learning_rate=1.0, loss='linear', | |
| 5 n_estimators=50, random_state=None))]" | |
| 6 @ pca "pca: PCA(copy=True, iterated_power='auto', n_components=None, random_state=None, | |
| 7 svd_solver='auto', tol=0.0, whiten=False)" | |
| 8 @ adaboostregressor "adaboostregressor: AdaBoostRegressor(base_estimator=None, learning_rate=1.0, loss='linear', | |
| 9 n_estimators=50, random_state=None)" | |
| 10 @ pca__copy pca__copy: True | |
| 11 @ pca__iterated_power pca__iterated_power: 'auto' | |
| 12 @ pca__n_components pca__n_components: None | |
| 13 @ pca__random_state pca__random_state: None | |
| 14 @ pca__svd_solver pca__svd_solver: 'auto' | |
| 15 @ pca__tol pca__tol: 0.0 | |
| 16 @ pca__whiten pca__whiten: False | |
| 17 @ adaboostregressor__base_estimator adaboostregressor__base_estimator: None | |
| 18 @ adaboostregressor__learning_rate adaboostregressor__learning_rate: 1.0 | |
| 19 @ adaboostregressor__loss adaboostregressor__loss: 'linear' | |
| 20 @ adaboostregressor__n_estimators adaboostregressor__n_estimators: 50 | |
| 21 @ adaboostregressor__random_state adaboostregressor__random_state: None | |
| 22 Note: @, searchable params in searchcv too. |