Mercurial > repos > bgruening > sklearn_numeric_clustering

annotate test-data/get_params10.tabular @ 32:1dd433d2c92c 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 08:08:34 -0500
parents abb5a3f256e3
children
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
rev   line source
24
abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
1 Parameter Value
abb5a3f256e3 planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff changeset
2 * memory memory: None
abb5a3f256e3 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',
abb5a3f256e3 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))]"
abb5a3f256e3 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',
abb5a3f256e3 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)"
abb5a3f256e3 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
abb5a3f256e3 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
abb5a3f256e3 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'
abb5a3f256e3 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
abb5a3f256e3 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
abb5a3f256e3 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.