Mercurial > repos > bgruening > sklearn_pairwise_metrics
view test-data/get_params06.tabular @ 41:053e7f32d37e draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
author | bgruening |
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date | Wed, 09 Aug 2023 12:50:06 +0000 |
parents | 86020dbc8ef7 |
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Parameter Value * memory memory: None * steps "steps: [('pca', PCA(copy=True, iterated_power='auto', n_components=None, random_state=None, svd_solver='auto', tol=0.0, whiten=False)), ('adaboostregressor', AdaBoostRegressor(base_estimator=None, learning_rate=1.0, loss='linear', n_estimators=50, random_state=None))]" @ pca "pca: PCA(copy=True, iterated_power='auto', n_components=None, random_state=None, svd_solver='auto', tol=0.0, whiten=False)" @ adaboostregressor "adaboostregressor: AdaBoostRegressor(base_estimator=None, learning_rate=1.0, loss='linear', n_estimators=50, random_state=None)" @ pca__copy pca__copy: True @ pca__iterated_power pca__iterated_power: 'auto' @ pca__n_components pca__n_components: None @ pca__random_state pca__random_state: None @ pca__svd_solver pca__svd_solver: 'auto' @ pca__tol pca__tol: 0.0 @ pca__whiten pca__whiten: False @ adaboostregressor__base_estimator adaboostregressor__base_estimator: None @ adaboostregressor__learning_rate adaboostregressor__learning_rate: 1.0 @ adaboostregressor__loss adaboostregressor__loss: 'linear' @ adaboostregressor__n_estimators adaboostregressor__n_estimators: 50 @ adaboostregressor__random_state adaboostregressor__random_state: None Note: @, searchable params in searchcv too.