Mercurial > repos > bgruening > sklearn_stacking_ensemble_models
comparison test-data/get_params03.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 |
| parents | |
| children |
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| -1:000000000000 | 0:fcc5eaaec401 |
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| 1 Parameter Value | |
| 2 * memory memory: None | |
| 3 * steps "steps: [('robustscaler', RobustScaler(copy=True, quantile_range=(25.0, 75.0), with_centering=True, | |
| 4 with_scaling=True)), ('xgbclassifier', XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1, | |
| 5 colsample_bytree=1, gamma=0, learning_rate=0.1, max_delta_step=0, | |
| 6 max_depth=3, min_child_weight=1, missing=nan, n_estimators=100, | |
| 7 n_jobs=1, nthread=None, objective='binary:logistic', random_state=0, | |
| 8 reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=None, | |
| 9 silent=True, subsample=1))]" | |
| 10 @ robustscaler "robustscaler: RobustScaler(copy=True, quantile_range=(25.0, 75.0), with_centering=True, | |
| 11 with_scaling=True)" | |
| 12 @ xgbclassifier "xgbclassifier: XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1, | |
| 13 colsample_bytree=1, gamma=0, learning_rate=0.1, max_delta_step=0, | |
| 14 max_depth=3, min_child_weight=1, missing=nan, n_estimators=100, | |
| 15 n_jobs=1, nthread=None, objective='binary:logistic', random_state=0, | |
| 16 reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=None, | |
| 17 silent=True, subsample=1)" | |
| 18 @ robustscaler__copy robustscaler__copy: True | |
| 19 @ robustscaler__quantile_range robustscaler__quantile_range: (25.0, 75.0) | |
| 20 @ robustscaler__with_centering robustscaler__with_centering: True | |
| 21 @ robustscaler__with_scaling robustscaler__with_scaling: True | |
| 22 @ xgbclassifier__base_score xgbclassifier__base_score: 0.5 | |
| 23 @ xgbclassifier__booster xgbclassifier__booster: 'gbtree' | |
| 24 @ xgbclassifier__colsample_bylevel xgbclassifier__colsample_bylevel: 1 | |
| 25 @ xgbclassifier__colsample_bytree xgbclassifier__colsample_bytree: 1 | |
| 26 @ xgbclassifier__gamma xgbclassifier__gamma: 0 | |
| 27 @ xgbclassifier__learning_rate xgbclassifier__learning_rate: 0.1 | |
| 28 @ xgbclassifier__max_delta_step xgbclassifier__max_delta_step: 0 | |
| 29 @ xgbclassifier__max_depth xgbclassifier__max_depth: 3 | |
| 30 @ xgbclassifier__min_child_weight xgbclassifier__min_child_weight: 1 | |
| 31 @ xgbclassifier__missing xgbclassifier__missing: nan | |
| 32 @ xgbclassifier__n_estimators xgbclassifier__n_estimators: 100 | |
| 33 * xgbclassifier__n_jobs xgbclassifier__n_jobs: 1 | |
| 34 * xgbclassifier__nthread xgbclassifier__nthread: None | |
| 35 @ xgbclassifier__objective xgbclassifier__objective: 'binary:logistic' | |
| 36 @ xgbclassifier__random_state xgbclassifier__random_state: 0 | |
| 37 @ xgbclassifier__reg_alpha xgbclassifier__reg_alpha: 0 | |
| 38 @ xgbclassifier__reg_lambda xgbclassifier__reg_lambda: 1 | |
| 39 @ xgbclassifier__scale_pos_weight xgbclassifier__scale_pos_weight: 1 | |
| 40 @ xgbclassifier__seed xgbclassifier__seed: None | |
| 41 @ xgbclassifier__silent xgbclassifier__silent: True | |
| 42 @ xgbclassifier__subsample xgbclassifier__subsample: 1 | |
| 43 Note: @, searchable params in searchcv too. |