diff test-data/get_params06.tabular @ 17:40ee30b5e456 draft

planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit ab963ec9498bd05d2fb2f24f75adb2fccae7958c
author bgruening
date Wed, 15 May 2019 07:38:45 -0400
parents
children
line wrap: on
line diff
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/get_params06.tabular	Wed May 15 07:38:45 2019 -0400
@@ -0,0 +1,22 @@
+	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.