Mercurial > repos > bgruening > sklearn_model_validation
comparison test-data/get_params11.tabular @ 17:cf9aa11b91c8 draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
author | bgruening |
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date | Wed, 15 May 2019 07:42:07 -0400 (2019-05-15) |
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16:86e1e2874460 | 17:cf9aa11b91c8 |
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1 Parameter Value | |
2 * memory memory: None | |
3 * steps "steps: [('editednearestneighbours', EditedNearestNeighbours(kind_sel='all', n_jobs=1, n_neighbors=3, | |
4 random_state=None, ratio=None, return_indices=False, | |
5 sampling_strategy='auto')), ('randomforestclassifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini', | |
6 max_depth=None, max_features='auto', max_leaf_nodes=None, | |
7 min_impurity_decrease=0.0, min_impurity_split=None, | |
8 min_samples_leaf=1, min_samples_split=2, | |
9 min_weight_fraction_leaf=0.0, n_estimators='warn', n_jobs=1, | |
10 oob_score=False, random_state=None, verbose=0, | |
11 warm_start=False))]" | |
12 @ editednearestneighbours "editednearestneighbours: EditedNearestNeighbours(kind_sel='all', n_jobs=1, n_neighbors=3, | |
13 random_state=None, ratio=None, return_indices=False, | |
14 sampling_strategy='auto')" | |
15 @ randomforestclassifier "randomforestclassifier: RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini', | |
16 max_depth=None, max_features='auto', max_leaf_nodes=None, | |
17 min_impurity_decrease=0.0, min_impurity_split=None, | |
18 min_samples_leaf=1, min_samples_split=2, | |
19 min_weight_fraction_leaf=0.0, n_estimators='warn', n_jobs=1, | |
20 oob_score=False, random_state=None, verbose=0, | |
21 warm_start=False)" | |
22 @ editednearestneighbours__kind_sel editednearestneighbours__kind_sel: 'all' | |
23 * editednearestneighbours__n_jobs editednearestneighbours__n_jobs: 1 | |
24 @ editednearestneighbours__n_neighbors editednearestneighbours__n_neighbors: 3 | |
25 @ editednearestneighbours__random_state editednearestneighbours__random_state: None | |
26 @ editednearestneighbours__ratio editednearestneighbours__ratio: None | |
27 @ editednearestneighbours__return_indices editednearestneighbours__return_indices: False | |
28 @ editednearestneighbours__sampling_strategy editednearestneighbours__sampling_strategy: 'auto' | |
29 @ randomforestclassifier__bootstrap randomforestclassifier__bootstrap: True | |
30 @ randomforestclassifier__class_weight randomforestclassifier__class_weight: None | |
31 @ randomforestclassifier__criterion randomforestclassifier__criterion: 'gini' | |
32 @ randomforestclassifier__max_depth randomforestclassifier__max_depth: None | |
33 @ randomforestclassifier__max_features randomforestclassifier__max_features: 'auto' | |
34 @ randomforestclassifier__max_leaf_nodes randomforestclassifier__max_leaf_nodes: None | |
35 @ randomforestclassifier__min_impurity_decrease randomforestclassifier__min_impurity_decrease: 0.0 | |
36 @ randomforestclassifier__min_impurity_split randomforestclassifier__min_impurity_split: None | |
37 @ randomforestclassifier__min_samples_leaf randomforestclassifier__min_samples_leaf: 1 | |
38 @ randomforestclassifier__min_samples_split randomforestclassifier__min_samples_split: 2 | |
39 @ randomforestclassifier__min_weight_fraction_leaf randomforestclassifier__min_weight_fraction_leaf: 0.0 | |
40 @ randomforestclassifier__n_estimators randomforestclassifier__n_estimators: 'warn' | |
41 * randomforestclassifier__n_jobs randomforestclassifier__n_jobs: 1 | |
42 @ randomforestclassifier__oob_score randomforestclassifier__oob_score: False | |
43 @ randomforestclassifier__random_state randomforestclassifier__random_state: None | |
44 * randomforestclassifier__verbose randomforestclassifier__verbose: 0 | |
45 @ randomforestclassifier__warm_start randomforestclassifier__warm_start: False | |
46 Note: @, searchable params in searchcv too. |