Mercurial > repos > bgruening > keras_model_builder

comparison 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
comparison
equal deleted inserted replaced
-1:000000000000 0:818896cd2213
1 Parameter Value
2 * memory memory: None
3 * steps "steps: [('randomforestregressor', RandomForestRegressor(bootstrap=True, criterion='mse', max_depth=None,
4 max_features='auto', max_leaf_nodes=None,
5 min_impurity_decrease=0.0, min_impurity_split=None,
6 min_samples_leaf=1, min_samples_split=2,
7 min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=1,
8 oob_score=False, random_state=42, verbose=0, warm_start=False))]"
9 @ randomforestregressor "randomforestregressor: RandomForestRegressor(bootstrap=True, criterion='mse', max_depth=None,
10 max_features='auto', max_leaf_nodes=None,
11 min_impurity_decrease=0.0, min_impurity_split=None,
12 min_samples_leaf=1, min_samples_split=2,
13 min_weight_fraction_leaf=0.0, n_estimators=100, n_jobs=1,
14 oob_score=False, random_state=42, verbose=0, warm_start=False)"
15 @ randomforestregressor__bootstrap randomforestregressor__bootstrap: True
16 @ randomforestregressor__criterion randomforestregressor__criterion: 'mse'
17 @ randomforestregressor__max_depth randomforestregressor__max_depth: None
18 @ randomforestregressor__max_features randomforestregressor__max_features: 'auto'
19 @ randomforestregressor__max_leaf_nodes randomforestregressor__max_leaf_nodes: None
20 @ randomforestregressor__min_impurity_decrease randomforestregressor__min_impurity_decrease: 0.0
21 @ randomforestregressor__min_impurity_split randomforestregressor__min_impurity_split: None
22 @ randomforestregressor__min_samples_leaf randomforestregressor__min_samples_leaf: 1
23 @ randomforestregressor__min_samples_split randomforestregressor__min_samples_split: 2
24 @ randomforestregressor__min_weight_fraction_leaf randomforestregressor__min_weight_fraction_leaf: 0.0
25 @ randomforestregressor__n_estimators randomforestregressor__n_estimators: 100
26 * randomforestregressor__n_jobs randomforestregressor__n_jobs: 1
27 @ randomforestregressor__oob_score randomforestregressor__oob_score: False
28 @ randomforestregressor__random_state randomforestregressor__random_state: 42
29 * randomforestregressor__verbose randomforestregressor__verbose: 0
30 @ randomforestregressor__warm_start randomforestregressor__warm_start: False
31 Note: @, searchable params in searchcv too.