Mercurial > repos > bgruening > sklearn_train_test_split

annotate test-data/get_params10.tabular @ 16:a2e3cf2f9f40 draft default tip

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 57a0433defa3cbc37ab34fbb0ebcfaeb680db8d5
author bgruening
date Sun, 05 Nov 2023 16:05:44 +0000
parents 0985b0dd6f1a
children
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
rev   line source
0
0985b0dd6f1a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
diff changeset
1 Parameter Value
0985b0dd6f1a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
diff changeset
2 * memory memory: None
0985b0dd6f1a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
diff changeset
3 * steps "steps: [('adaboostregressor', AdaBoostRegressor(base_estimator=None, learning_rate=1.0, loss='linear',
0985b0dd6f1a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
diff changeset
4 n_estimators=50, random_state=None))]"
0985b0dd6f1a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
diff changeset
5 @ adaboostregressor "adaboostregressor: AdaBoostRegressor(base_estimator=None, learning_rate=1.0, loss='linear',
0985b0dd6f1a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
diff changeset
6 n_estimators=50, random_state=None)"
0985b0dd6f1a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
diff changeset
7 @ adaboostregressor__base_estimator adaboostregressor__base_estimator: None
0985b0dd6f1a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
diff changeset
8 @ adaboostregressor__learning_rate adaboostregressor__learning_rate: 1.0
0985b0dd6f1a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
diff changeset
9 @ adaboostregressor__loss adaboostregressor__loss: 'linear'
0985b0dd6f1a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
diff changeset
10 @ adaboostregressor__n_estimators adaboostregressor__n_estimators: 50
0985b0dd6f1a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
diff changeset
11 @ adaboostregressor__random_state adaboostregressor__random_state: None
0985b0dd6f1a "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
bgruening
parents:
diff changeset
12 Note: @, params eligible for search in searchcv tool.