Mercurial > repos > bgruening > sklearn_train_test_eval
diff test-data/get_params05.tabular @ 5:2b8406e74f9e draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
author | bgruening |
---|---|
date | Mon, 16 Dec 2019 05:14:47 -0500 |
parents | 68aaa903052a |
children |
line wrap: on
line diff
--- a/test-data/get_params05.tabular Thu Nov 07 05:22:04 2019 -0500 +++ b/test-data/get_params05.tabular Mon Dec 16 05:14:47 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.