diff test-data/get_params06.tabular @ 0:734c66aa945a draft

"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit eb703290e2589561ea215c84aa9f71bcfe1712c6"
author bgruening
date Fri, 01 Nov 2019 17:18:28 -0400
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--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/get_params06.tabular	Fri Nov 01 17:18:28 2019 -0400
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+	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.