Mercurial > repos > bgruening > sklearn_train_test_split
comparison test-data/get_params07.tabular @ 0:0985b0dd6f1a draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
author | bgruening |
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date | Fri, 01 Nov 2019 17:26:59 -0400 |
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-1:000000000000 | 0:0985b0dd6f1a |
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1 Parameter Value | |
2 * memory memory: None | |
3 * steps "steps: [('rbfsampler', RBFSampler(gamma=2.0, n_components=10, random_state=None)), ('adaboostclassifier', AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, | |
4 learning_rate=1.0, n_estimators=50, random_state=None))]" | |
5 @ rbfsampler rbfsampler: RBFSampler(gamma=2.0, n_components=10, random_state=None) | |
6 @ adaboostclassifier "adaboostclassifier: AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, | |
7 learning_rate=1.0, n_estimators=50, random_state=None)" | |
8 @ rbfsampler__gamma rbfsampler__gamma: 2.0 | |
9 @ rbfsampler__n_components rbfsampler__n_components: 10 | |
10 @ rbfsampler__random_state rbfsampler__random_state: None | |
11 @ adaboostclassifier__algorithm adaboostclassifier__algorithm: 'SAMME.R' | |
12 @ adaboostclassifier__base_estimator adaboostclassifier__base_estimator: None | |
13 @ adaboostclassifier__learning_rate adaboostclassifier__learning_rate: 1.0 | |
14 @ adaboostclassifier__n_estimators adaboostclassifier__n_estimators: 50 | |
15 @ adaboostclassifier__random_state adaboostclassifier__random_state: None | |
16 Note: @, searchable params in searchcv too. |