Mercurial > repos > bgruening > sklearn_generalized_linear

diff test-data/get_params05.tabular @ 31:a8c7b9fa426c 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 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
author bgruening
date Mon, 16 Dec 2019 05:29:33 -0500
parents b628de0d101f
children
line wrap: on
line diff
--- a/test-data/get_params05.tabular	Thu Nov 07 05:36:10 2019 -0500
+++ b/test-data/get_params05.tabular	Mon Dec 16 05:29:33 2019 -0500
@@ -1,31 +1,18 @@
 	Parameter	Value
-*	memory	memory: None
-*	steps	"steps: [('randomforestregressor', RandomForestRegressor(bootstrap=True, criterion='mse', max_depth=None,
-           max_features='auto', max_leaf_nodes=None,
-           min_impurity_decrease=0.0, min_impurity_split=None,
-           min_samples_leaf=1, min_samples_split=2,
-           min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=1,
-           oob_score=False, random_state=42, verbose=0, warm_start=False))]"
-@	randomforestregressor	"randomforestregressor: RandomForestRegressor(bootstrap=True, criterion='mse', max_depth=None,
-           max_features='auto', max_leaf_nodes=None,
-           min_impurity_decrease=0.0, min_impurity_split=None,
-           min_samples_leaf=1, min_samples_split=2,
-           min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=1,
-           oob_score=False, random_state=42, verbose=0, warm_start=False)"
-@	randomforestregressor__bootstrap	randomforestregressor__bootstrap: True
-@	randomforestregressor__criterion	randomforestregressor__criterion: 'mse'
-@	randomforestregressor__max_depth	randomforestregressor__max_depth: None
-@	randomforestregressor__max_features	randomforestregressor__max_features: 'auto'
-@	randomforestregressor__max_leaf_nodes	randomforestregressor__max_leaf_nodes: None
-@	randomforestregressor__min_impurity_decrease	randomforestregressor__min_impurity_decrease: 0.0
-@	randomforestregressor__min_impurity_split	randomforestregressor__min_impurity_split: None
-@	randomforestregressor__min_samples_leaf	randomforestregressor__min_samples_leaf: 1
-@	randomforestregressor__min_samples_split	randomforestregressor__min_samples_split: 2
-@	randomforestregressor__min_weight_fraction_leaf	randomforestregressor__min_weight_fraction_leaf: 0.0
-@	randomforestregressor__n_estimators	randomforestregressor__n_estimators: 100
-*	randomforestregressor__n_jobs	randomforestregressor__n_jobs: 1
-@	randomforestregressor__oob_score	randomforestregressor__oob_score: False
-@	randomforestregressor__random_state	randomforestregressor__random_state: 42
-*	randomforestregressor__verbose	randomforestregressor__verbose: 0
-@	randomforestregressor__warm_start	randomforestregressor__warm_start: False
-	Note:	@, searchable params in searchcv too.
+@	bootstrap	bootstrap: True
+@	criterion	criterion: 'mse'
+@	max_depth	max_depth: None
+@	max_features	max_features: 'auto'
+@	max_leaf_nodes	max_leaf_nodes: None
+@	min_impurity_decrease	min_impurity_decrease: 0.0
+@	min_impurity_split	min_impurity_split: None
+@	min_samples_leaf	min_samples_leaf: 1
+@	min_samples_split	min_samples_split: 2
+@	min_weight_fraction_leaf	min_weight_fraction_leaf: 0.0
+@	n_estimators	n_estimators: 100
+*	n_jobs	n_jobs: 1
+@	oob_score	oob_score: False
+@	random_state	random_state: 42
+*	verbose	verbose: 0
+@	warm_start	warm_start: False
+	Note:	@, params eligible for search in searchcv tool.