Mercurial > repos > bgruening > scipy_sparse
annotate test-data/get_params10.tabular @ 24:b9ed7b774ba3 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 07:43:48 -0400 |
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24
b9ed7b774ba3
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
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1 Parameter Value |
b9ed7b774ba3
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
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changeset
|
2 * memory memory: None |
b9ed7b774ba3
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
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changeset
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3 * steps "steps: [('adaboostregressor', AdaBoostRegressor(base_estimator=None, learning_rate=1.0, loss='linear', |
b9ed7b774ba3
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff
changeset
|
4 n_estimators=50, random_state=None))]" |
b9ed7b774ba3
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff
changeset
|
5 @ adaboostregressor "adaboostregressor: AdaBoostRegressor(base_estimator=None, learning_rate=1.0, loss='linear', |
b9ed7b774ba3
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff
changeset
|
6 n_estimators=50, random_state=None)" |
b9ed7b774ba3
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff
changeset
|
7 @ adaboostregressor__base_estimator adaboostregressor__base_estimator: None |
b9ed7b774ba3
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff
changeset
|
8 @ adaboostregressor__learning_rate adaboostregressor__learning_rate: 1.0 |
b9ed7b774ba3
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff
changeset
|
9 @ adaboostregressor__loss adaboostregressor__loss: 'linear' |
b9ed7b774ba3
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff
changeset
|
10 @ adaboostregressor__n_estimators adaboostregressor__n_estimators: 50 |
b9ed7b774ba3
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff
changeset
|
11 @ adaboostregressor__random_state adaboostregressor__random_state: None |
b9ed7b774ba3
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
bgruening
parents:
diff
changeset
|
12 Note: @, params eligible for search in searchcv tool. |