Mercurial > repos > bgruening > keras_model_builder

diff test-data/get_params05.tabular @ 0:818896cd2213 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 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
author bgruening
date Fri, 09 Aug 2019 07:13:13 -0400
parents
children ed7c222e47e3
line wrap: on
line diff
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/get_params05.tabular	Fri Aug 09 07:13:13 2019 -0400
@@ -0,0 +1,31 @@
+	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.