Mercurial > repos > bgruening > sklearn_feature_selection
view test-data/get_params01.tabular @ 36:d84b3a229a52 draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
author | bgruening |
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date | Wed, 09 Aug 2023 13:21:19 +0000 |
parents | ec25331946b8 |
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Parameter Value * memory memory: None * steps "steps: [('robustscaler', RobustScaler(copy=True, quantile_range=(25.0, 75.0), with_centering=True, with_scaling=True)), ('selectkbest', SelectKBest(k=10, score_func=<function f_classif at 0x111ef0158>)), ('svr', SVR(C=1.0, cache_size=200, coef0=0.0, degree=3, epsilon=0.1, gamma='auto_deprecated', kernel='linear', max_iter=-1, shrinking=True, tol=0.001, verbose=False))]" @ robustscaler "robustscaler: RobustScaler(copy=True, quantile_range=(25.0, 75.0), with_centering=True, with_scaling=True)" @ selectkbest selectkbest: SelectKBest(k=10, score_func=<function f_classif at 0x111ef0158>) @ svr "svr: SVR(C=1.0, cache_size=200, coef0=0.0, degree=3, epsilon=0.1, gamma='auto_deprecated', kernel='linear', max_iter=-1, shrinking=True, tol=0.001, verbose=False)" @ robustscaler__copy robustscaler__copy: True @ robustscaler__quantile_range robustscaler__quantile_range: (25.0, 75.0) @ robustscaler__with_centering robustscaler__with_centering: True @ robustscaler__with_scaling robustscaler__with_scaling: True @ selectkbest__k selectkbest__k: 10 @ selectkbest__score_func selectkbest__score_func: <function f_classif at 0x111ef0158> @ svr__C svr__C: 1.0 @ svr__cache_size svr__cache_size: 200 @ svr__coef0 svr__coef0: 0.0 @ svr__degree svr__degree: 3 @ svr__epsilon svr__epsilon: 0.1 @ svr__gamma svr__gamma: 'auto_deprecated' @ svr__kernel svr__kernel: 'linear' @ svr__max_iter svr__max_iter: -1 @ svr__shrinking svr__shrinking: True @ svr__tol svr__tol: 0.001 * svr__verbose svr__verbose: False Note: @, searchable params in searchcv too.