Mercurial > repos > bgruening > sklearn_searchcv

view test-data/get_params07.tabular @ 29:d709e2d0d199 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 5eca9041ce0154eded5aec07195502d5eb3cdd4f
author bgruening
date Fri, 03 Nov 2023 22:26:53 +0000
parents 1c4a241bef5c
children
line wrap: on
line source

	Parameter	Value
*	memory	memory: None
*	steps	"steps: [('rbfsampler', RBFSampler(gamma=2.0, n_components=10, random_state=None)), ('adaboostclassifier', AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None,
          learning_rate=1.0, n_estimators=50, random_state=None))]"
@	rbfsampler	rbfsampler: RBFSampler(gamma=2.0, n_components=10, random_state=None)
@	adaboostclassifier	"adaboostclassifier: AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None,
          learning_rate=1.0, n_estimators=50, random_state=None)"
@	rbfsampler__gamma	rbfsampler__gamma: 2.0
@	rbfsampler__n_components	rbfsampler__n_components: 10
@	rbfsampler__random_state	rbfsampler__random_state: None
@	adaboostclassifier__algorithm	adaboostclassifier__algorithm: 'SAMME.R'
@	adaboostclassifier__base_estimator	adaboostclassifier__base_estimator: None
@	adaboostclassifier__learning_rate	adaboostclassifier__learning_rate: 1.0
@	adaboostclassifier__n_estimators	adaboostclassifier__n_estimators: 50
@	adaboostclassifier__random_state	adaboostclassifier__random_state: None
	Note:	@, searchable params in searchcv too.