Mercurial > repos > bgruening > scipy_sparse

comparison test-data/get_params01.tabular @ 24:b9ed7b774ba3 draft

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planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
author bgruening
date Wed, 15 May 2019 07:43:48 -0400
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23:27c0b1a050df 24:b9ed7b774ba3
1 Parameter Value
2 * memory memory: None
3 * steps "steps: [('robustscaler', RobustScaler(copy=True, quantile_range=(25.0, 75.0), with_centering=True,
4 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,
5 gamma='auto_deprecated', kernel='linear', max_iter=-1, shrinking=True,
6 tol=0.001, verbose=False))]"
7 @ robustscaler "robustscaler: RobustScaler(copy=True, quantile_range=(25.0, 75.0), with_centering=True,
8 with_scaling=True)"
9 @ selectkbest selectkbest: SelectKBest(k=10, score_func=<function f_classif at 0x111ef0158>)
10 @ svr "svr: SVR(C=1.0, cache_size=200, coef0=0.0, degree=3, epsilon=0.1,
11 gamma='auto_deprecated', kernel='linear', max_iter=-1, shrinking=True,
12 tol=0.001, verbose=False)"
13 @ robustscaler__copy robustscaler__copy: True
14 @ robustscaler__quantile_range robustscaler__quantile_range: (25.0, 75.0)
15 @ robustscaler__with_centering robustscaler__with_centering: True
16 @ robustscaler__with_scaling robustscaler__with_scaling: True
17 @ selectkbest__k selectkbest__k: 10
18 @ selectkbest__score_func selectkbest__score_func: <function f_classif at 0x111ef0158>
19 @ svr__C svr__C: 1.0
20 @ svr__cache_size svr__cache_size: 200
21 @ svr__coef0 svr__coef0: 0.0
22 @ svr__degree svr__degree: 3
23 @ svr__epsilon svr__epsilon: 0.1
24 @ svr__gamma svr__gamma: 'auto_deprecated'
25 @ svr__kernel svr__kernel: 'linear'
26 @ svr__max_iter svr__max_iter: -1
27 @ svr__shrinking svr__shrinking: True
28 @ svr__tol svr__tol: 0.001
29 * svr__verbose svr__verbose: False
30 Note: @, searchable params in searchcv too.