Mercurial > repos > bgruening > sklearn_train_test_eval
annotate test-data/named_steps.txt @ 5:2b8406e74f9e draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
author | bgruening |
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date | Mon, 16 Dec 2019 05:14:47 -0500 |
parents | 68aaa903052a |
children | 2eb5c017958d |
rev | line source |
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5
2b8406e74f9e
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
0
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changeset
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1 {'preprocessing_1': SelectKBest(k=10, score_func=<function f_regression at 0x11b4ba8c8>), 'estimator': XGBRegressor(base_score=0.5, booster='gbtree', colsample_bylevel=1, |
2b8406e74f9e
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
0
diff
changeset
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2 colsample_bytree=1, gamma=0, learning_rate=0.1, max_delta_step=0, |
2b8406e74f9e
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
0
diff
changeset
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3 max_depth=3, min_child_weight=1, missing=nan, n_estimators=100, |
2b8406e74f9e
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
0
diff
changeset
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4 n_jobs=1, nthread=None, objective='reg:linear', random_state=10, |
2b8406e74f9e
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
0
diff
changeset
|
5 reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=None, |
2b8406e74f9e
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
0
diff
changeset
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6 silent=True, subsample=1)} |