Mercurial > repos > bgruening > sklearn_numeric_clustering
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planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 80417bf0158a9b596e485dd66408f738f405145a
author | bgruening |
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date | Mon, 02 Oct 2023 08:12:04 +0000 |
parents | 60d80322e1e9 |
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Parameter Value * memory memory: None * steps "steps: [('rbfsampler', RBFSampler(gamma=2.0, n_components=10, random_state=None)), ('adaboostclassifier', AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0, n_estimators=50, random_state=None))]" @ rbfsampler rbfsampler: RBFSampler(gamma=2.0, n_components=10, random_state=None) @ adaboostclassifier "adaboostclassifier: AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0, n_estimators=50, random_state=None)" @ rbfsampler__gamma rbfsampler__gamma: 2.0 @ rbfsampler__n_components rbfsampler__n_components: 10 @ rbfsampler__random_state rbfsampler__random_state: None @ adaboostclassifier__algorithm adaboostclassifier__algorithm: 'SAMME.R' @ adaboostclassifier__base_estimator adaboostclassifier__base_estimator: None @ adaboostclassifier__learning_rate adaboostclassifier__learning_rate: 1.0 @ adaboostclassifier__n_estimators adaboostclassifier__n_estimators: 50 @ adaboostclassifier__random_state adaboostclassifier__random_state: None Note: @, searchable params in searchcv too.