Mercurial > repos > bgruening > sklearn_svm_classifier

annotate test-data/get_params03.tabular @ 16:f9639b488779 draft

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 756f8be9c3cd437e131e6410cd625c24fe078e8c"
author bgruening
date Wed, 22 Jan 2020 07:44:40 -0500
parents 1a9d5a8fff12
children
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
rev   line source
8
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
1 Parameter Value
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
2 * memory memory: None
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
3 * steps "steps: [('robustscaler', RobustScaler(copy=True, quantile_range=(25.0, 75.0), with_centering=True,
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
4 with_scaling=True)), ('xgbclassifier', XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
5 colsample_bytree=1, gamma=0, learning_rate=0.1, max_delta_step=0,
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
6 max_depth=3, min_child_weight=1, missing=nan, n_estimators=100,
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
7 n_jobs=1, nthread=None, objective='binary:logistic', random_state=0,
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
8 reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=None,
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
9 silent=True, subsample=1))]"
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
10 @ robustscaler "robustscaler: RobustScaler(copy=True, quantile_range=(25.0, 75.0), with_centering=True,
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
11 with_scaling=True)"
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
12 @ xgbclassifier "xgbclassifier: XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
13 colsample_bytree=1, gamma=0, learning_rate=0.1, max_delta_step=0,
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
14 max_depth=3, min_child_weight=1, missing=nan, n_estimators=100,
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
15 n_jobs=1, nthread=None, objective='binary:logistic', random_state=0,
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
16 reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=None,
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
17 silent=True, subsample=1)"
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
18 @ robustscaler__copy robustscaler__copy: True
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
19 @ robustscaler__quantile_range robustscaler__quantile_range: (25.0, 75.0)
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
20 @ robustscaler__with_centering robustscaler__with_centering: True
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
21 @ robustscaler__with_scaling robustscaler__with_scaling: True
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
22 @ xgbclassifier__base_score xgbclassifier__base_score: 0.5
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
23 @ xgbclassifier__booster xgbclassifier__booster: 'gbtree'
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
24 @ xgbclassifier__colsample_bylevel xgbclassifier__colsample_bylevel: 1
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
25 @ xgbclassifier__colsample_bytree xgbclassifier__colsample_bytree: 1
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
26 @ xgbclassifier__gamma xgbclassifier__gamma: 0
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
27 @ xgbclassifier__learning_rate xgbclassifier__learning_rate: 0.1
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
28 @ xgbclassifier__max_delta_step xgbclassifier__max_delta_step: 0
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
29 @ xgbclassifier__max_depth xgbclassifier__max_depth: 3
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
30 @ xgbclassifier__min_child_weight xgbclassifier__min_child_weight: 1
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
31 @ xgbclassifier__missing xgbclassifier__missing: nan
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
32 @ xgbclassifier__n_estimators xgbclassifier__n_estimators: 100
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
33 * xgbclassifier__n_jobs xgbclassifier__n_jobs: 1
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
34 * xgbclassifier__nthread xgbclassifier__nthread: None
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
35 @ xgbclassifier__objective xgbclassifier__objective: 'binary:logistic'
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
36 @ xgbclassifier__random_state xgbclassifier__random_state: 0
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
37 @ xgbclassifier__reg_alpha xgbclassifier__reg_alpha: 0
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
38 @ xgbclassifier__reg_lambda xgbclassifier__reg_lambda: 1
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
39 @ xgbclassifier__scale_pos_weight xgbclassifier__scale_pos_weight: 1
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
40 @ xgbclassifier__seed xgbclassifier__seed: None
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
41 @ xgbclassifier__silent xgbclassifier__silent: True
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
42 @ xgbclassifier__subsample xgbclassifier__subsample: 1
1a9d5a8fff12 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
43 Note: @, searchable params in searchcv too.