Mercurial > repos > bgruening > sklearn_stacking_ensemble_models
comparison test-data/get_params12.tabular @ 0:fcc5eaaec401 draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
| author | bgruening |
|---|---|
| date | Wed, 15 May 2019 07:25:29 -0400 |
| parents | |
| children | a2e4a45c6083 |
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| -1:000000000000 | 0:fcc5eaaec401 |
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| 1 Parameter Value | |
| 2 * memory memory: None | |
| 3 * steps "steps: [('rfe', RFE(estimator=XGBRegressor(base_score=0.5, booster='gbtree', colsample_bylevel=1, | |
| 4 colsample_bytree=1, gamma=0, learning_rate=0.1, max_delta_step=0, | |
| 5 max_depth=3, min_child_weight=1, missing=nan, n_estimators=100, | |
| 6 n_jobs=1, nthread=None, objective='reg:linear', random_state=0, | |
| 7 reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=None, | |
| 8 silent=True, subsample=1), | |
| 9 n_features_to_select=None, step=1, verbose=0))]" | |
| 10 @ rfe "rfe: RFE(estimator=XGBRegressor(base_score=0.5, booster='gbtree', colsample_bylevel=1, | |
| 11 colsample_bytree=1, gamma=0, learning_rate=0.1, max_delta_step=0, | |
| 12 max_depth=3, min_child_weight=1, missing=nan, n_estimators=100, | |
| 13 n_jobs=1, nthread=None, objective='reg:linear', random_state=0, | |
| 14 reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=None, | |
| 15 silent=True, subsample=1), | |
| 16 n_features_to_select=None, step=1, verbose=0)" | |
| 17 @ rfe__estimator__base_score rfe__estimator__base_score: 0.5 | |
| 18 @ rfe__estimator__booster rfe__estimator__booster: 'gbtree' | |
| 19 @ rfe__estimator__colsample_bylevel rfe__estimator__colsample_bylevel: 1 | |
| 20 @ rfe__estimator__colsample_bytree rfe__estimator__colsample_bytree: 1 | |
| 21 @ rfe__estimator__gamma rfe__estimator__gamma: 0 | |
| 22 @ rfe__estimator__learning_rate rfe__estimator__learning_rate: 0.1 | |
| 23 @ rfe__estimator__max_delta_step rfe__estimator__max_delta_step: 0 | |
| 24 @ rfe__estimator__max_depth rfe__estimator__max_depth: 3 | |
| 25 @ rfe__estimator__min_child_weight rfe__estimator__min_child_weight: 1 | |
| 26 @ rfe__estimator__missing rfe__estimator__missing: nan | |
| 27 @ rfe__estimator__n_estimators rfe__estimator__n_estimators: 100 | |
| 28 * rfe__estimator__n_jobs rfe__estimator__n_jobs: 1 | |
| 29 * rfe__estimator__nthread rfe__estimator__nthread: None | |
| 30 @ rfe__estimator__objective rfe__estimator__objective: 'reg:linear' | |
| 31 @ rfe__estimator__random_state rfe__estimator__random_state: 0 | |
| 32 @ rfe__estimator__reg_alpha rfe__estimator__reg_alpha: 0 | |
| 33 @ rfe__estimator__reg_lambda rfe__estimator__reg_lambda: 1 | |
| 34 @ rfe__estimator__scale_pos_weight rfe__estimator__scale_pos_weight: 1 | |
| 35 @ rfe__estimator__seed rfe__estimator__seed: None | |
| 36 @ rfe__estimator__silent rfe__estimator__silent: True | |
| 37 @ rfe__estimator__subsample rfe__estimator__subsample: 1 | |
| 38 @ rfe__estimator "rfe__estimator: XGBRegressor(base_score=0.5, booster='gbtree', colsample_bylevel=1, | |
| 39 colsample_bytree=1, gamma=0, learning_rate=0.1, max_delta_step=0, | |
| 40 max_depth=3, min_child_weight=1, missing=nan, n_estimators=100, | |
| 41 n_jobs=1, nthread=None, objective='reg:linear', random_state=0, | |
| 42 reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=None, | |
| 43 silent=True, subsample=1)" | |
| 44 @ rfe__n_features_to_select rfe__n_features_to_select: None | |
| 45 @ rfe__step rfe__step: 1 | |
| 46 * rfe__verbose rfe__verbose: 0 | |
| 47 Note: @, searchable params in searchcv too. |