Mercurial > repos > bgruening > sklearn_ensemble

comparison test-data/get_params11.tabular @ 24:e94395c672bd draft

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planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
author bgruening
date Tue, 14 May 2019 18:15:12 -0400
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23:39ae276e75d9 24:e94395c672bd
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.