Mercurial > repos > bgruening > sklearn_fitted_model_eval

comparison test-data/get_params07.tabular @ 0:eaddff553324 draft

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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
author bgruening
date Fri, 01 Nov 2019 17:15:22 -0400
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-1:000000000000 0:eaddff553324
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.