Mercurial > repos > bgruening > sklearn_searchcv

annotate test-data/get_params10.tabular @ 17:1ae5dfd5ac17 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 9e28f4466084464d38d3f8db2aff07974be4ba69"
author bgruening
date Wed, 11 Mar 2020 14:02:20 -0400
parents 1c4a241bef5c
children
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
rev   line source
8
1c4a241bef5c planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
1 Parameter Value
1c4a241bef5c planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
2 * memory memory: None
1c4a241bef5c planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
3 * steps "steps: [('adaboostregressor', AdaBoostRegressor(base_estimator=None, learning_rate=1.0, loss='linear',
1c4a241bef5c planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
4 n_estimators=50, random_state=None))]"
1c4a241bef5c planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
5 @ adaboostregressor "adaboostregressor: AdaBoostRegressor(base_estimator=None, learning_rate=1.0, loss='linear',
1c4a241bef5c planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
6 n_estimators=50, random_state=None)"
1c4a241bef5c planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
7 @ adaboostregressor__base_estimator adaboostregressor__base_estimator: None
1c4a241bef5c planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
8 @ adaboostregressor__learning_rate adaboostregressor__learning_rate: 1.0
1c4a241bef5c planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
9 @ adaboostregressor__loss adaboostregressor__loss: 'linear'
1c4a241bef5c planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
10 @ adaboostregressor__n_estimators adaboostregressor__n_estimators: 50
1c4a241bef5c planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
11 @ adaboostregressor__random_state adaboostregressor__random_state: None
1c4a241bef5c planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
12 Note: @, params eligible for search in searchcv tool.