Mercurial > repos > bgruening > sklearn_label_encoder

view test-data/get_params06.tabular @ 7:2be90d2f29a7 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 3c1e6c72303cfd8a5fd014734f18402b97f8ecb5
author bgruening
date Fri, 22 Sep 2023 17:27:09 +0000
parents 3b6ee54eb7e2
children
line wrap: on
line source

	Parameter	Value
*	memory	memory: None
*	steps	"steps: [('pca', PCA(copy=True, iterated_power='auto', n_components=None, random_state=None,
  svd_solver='auto', tol=0.0, whiten=False)), ('adaboostregressor', AdaBoostRegressor(base_estimator=None, learning_rate=1.0, loss='linear',
         n_estimators=50, random_state=None))]"
@	pca	"pca: PCA(copy=True, iterated_power='auto', n_components=None, random_state=None,
  svd_solver='auto', tol=0.0, whiten=False)"
@	adaboostregressor	"adaboostregressor: AdaBoostRegressor(base_estimator=None, learning_rate=1.0, loss='linear',
         n_estimators=50, random_state=None)"
@	pca__copy	pca__copy: True
@	pca__iterated_power	pca__iterated_power: 'auto'
@	pca__n_components	pca__n_components: None
@	pca__random_state	pca__random_state: None
@	pca__svd_solver	pca__svd_solver: 'auto'
@	pca__tol	pca__tol: 0.0
@	pca__whiten	pca__whiten: False
@	adaboostregressor__base_estimator	adaboostregressor__base_estimator: None
@	adaboostregressor__learning_rate	adaboostregressor__learning_rate: 1.0
@	adaboostregressor__loss	adaboostregressor__loss: 'linear'
@	adaboostregressor__n_estimators	adaboostregressor__n_estimators: 50
@	adaboostregressor__random_state	adaboostregressor__random_state: None
	Note:	@, searchable params in searchcv too.