Mercurial > repos > bgruening > sklearn_generalized_linear

comparison test-data/get_params06.tabular @ 24:b628de0d101f draft

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
author bgruening
date Wed, 15 May 2019 07:40:56 -0400
parents
children
comparison
equal deleted inserted replaced
23:e3bc646e63b2 24:b628de0d101f
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.