Mercurial > repos > bgruening > sklearn_lightgbm

comparison test-data/get_params07.tabular @ 0:13226b2ddfb4 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 07:51:20 -0500
parents
children
comparison
equal deleted inserted replaced
-1:000000000000 0:13226b2ddfb4
1 Parameter Value
2 * memory memory: None
3 * steps "steps: [('rbfsampler', RBFSampler(gamma=2.0, n_components=10, random_state=None)), ('adaboostclassifier', AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None,
4 learning_rate=1.0, n_estimators=50, random_state=None))]"
5 @ rbfsampler rbfsampler: RBFSampler(gamma=2.0, n_components=10, random_state=None)
6 @ adaboostclassifier "adaboostclassifier: AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None,
7 learning_rate=1.0, n_estimators=50, random_state=None)"
8 @ rbfsampler__gamma rbfsampler__gamma: 2.0
9 @ rbfsampler__n_components rbfsampler__n_components: 10
10 @ rbfsampler__random_state rbfsampler__random_state: None
11 @ adaboostclassifier__algorithm adaboostclassifier__algorithm: 'SAMME.R'
12 @ adaboostclassifier__base_estimator adaboostclassifier__base_estimator: None
13 @ adaboostclassifier__learning_rate adaboostclassifier__learning_rate: 1.0
14 @ adaboostclassifier__n_estimators adaboostclassifier__n_estimators: 50
15 @ adaboostclassifier__random_state adaboostclassifier__random_state: None
16 Note: @, searchable params in searchcv too.