Mercurial > repos > bgruening > sklearn_stacking_ensemble_models
comparison test-data/get_params07.tabular @ 0:fcc5eaaec401 draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
| author | bgruening |
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| date | Wed, 15 May 2019 07:25:29 -0400 |
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| -1:000000000000 | 0:fcc5eaaec401 |
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| 1 Parameter Value | |
| 2 * memory memory: None | |
| 3 * steps "steps: [('rbfsampler', RBFSampler(gamma=2.0, n_components=10, random_state=None)), ('adaboostclassifier', AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, | |
| 4 learning_rate=1.0, n_estimators=50, random_state=None))]" | |
| 5 @ rbfsampler rbfsampler: RBFSampler(gamma=2.0, n_components=10, random_state=None) | |
| 6 @ adaboostclassifier "adaboostclassifier: AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, | |
| 7 learning_rate=1.0, n_estimators=50, random_state=None)" | |
| 8 @ rbfsampler__gamma rbfsampler__gamma: 2.0 | |
| 9 @ rbfsampler__n_components rbfsampler__n_components: 10 | |
| 10 @ rbfsampler__random_state rbfsampler__random_state: None | |
| 11 @ adaboostclassifier__algorithm adaboostclassifier__algorithm: 'SAMME.R' | |
| 12 @ adaboostclassifier__base_estimator adaboostclassifier__base_estimator: None | |
| 13 @ adaboostclassifier__learning_rate adaboostclassifier__learning_rate: 1.0 | |
| 14 @ adaboostclassifier__n_estimators adaboostclassifier__n_estimators: 50 | |
| 15 @ adaboostclassifier__random_state adaboostclassifier__random_state: None | |
| 16 Note: @, searchable params in searchcv too. |