Mercurial > repos > bgruening > sklearn_regression_metrics

annotate test-data/get_params06.tabular @ 24:a152c1d23379 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 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
author bgruening
date Mon, 16 Dec 2019 05:25:18 -0500
parents 40ee30b5e456
children
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
rev   line source
17
40ee30b5e456 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff changeset
1 Parameter Value
40ee30b5e456 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff changeset
2 * memory memory: None
40ee30b5e456 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff changeset
3 * steps "steps: [('pca', PCA(copy=True, iterated_power='auto', n_components=None, random_state=None,
40ee30b5e456 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff changeset
4 svd_solver='auto', tol=0.0, whiten=False)), ('adaboostregressor', AdaBoostRegressor(base_estimator=None, learning_rate=1.0, loss='linear',
40ee30b5e456 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff changeset
5 n_estimators=50, random_state=None))]"
40ee30b5e456 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff changeset
6 @ pca "pca: PCA(copy=True, iterated_power='auto', n_components=None, random_state=None,
40ee30b5e456 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff changeset
7 svd_solver='auto', tol=0.0, whiten=False)"
40ee30b5e456 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff changeset
8 @ adaboostregressor "adaboostregressor: AdaBoostRegressor(base_estimator=None, learning_rate=1.0, loss='linear',
40ee30b5e456 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff changeset
9 n_estimators=50, random_state=None)"
40ee30b5e456 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff changeset
10 @ pca__copy pca__copy: True
40ee30b5e456 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff changeset
11 @ pca__iterated_power pca__iterated_power: 'auto'
40ee30b5e456 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff changeset
12 @ pca__n_components pca__n_components: None
40ee30b5e456 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff changeset
13 @ pca__random_state pca__random_state: None
40ee30b5e456 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff changeset
14 @ pca__svd_solver pca__svd_solver: 'auto'
40ee30b5e456 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff changeset
15 @ pca__tol pca__tol: 0.0
40ee30b5e456 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff changeset
16 @ pca__whiten pca__whiten: False
40ee30b5e456 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff changeset
17 @ adaboostregressor__base_estimator adaboostregressor__base_estimator: None
40ee30b5e456 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff changeset
18 @ adaboostregressor__learning_rate adaboostregressor__learning_rate: 1.0
40ee30b5e456 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff changeset
19 @ adaboostregressor__loss adaboostregressor__loss: 'linear'
40ee30b5e456 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff changeset
20 @ adaboostregressor__n_estimators adaboostregressor__n_estimators: 50
40ee30b5e456 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff changeset
21 @ adaboostregressor__random_state adaboostregressor__random_state: None
40ee30b5e456 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff changeset
22 Note: @, searchable params in searchcv too.