Mercurial > repos > bgruening > sklearn_fitted_model_eval

view test-data/get_params07.tabular @ 0:eaddff553324 draft

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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
author bgruening
date Fri, 01 Nov 2019 17:15:22 -0400
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	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.