Mercurial > repos > bgruening > sklearn_discriminant_classifier
annotate test-data/named_steps.txt @ 34:2d032cff49eb draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2afb24f3c81d625312186750a714d702363012b5"
author | bgruening |
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date | Thu, 01 Oct 2020 20:44:13 +0000 |
parents | 64b771b1471a |
children | d769d83ec796 |
rev | line source |
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31
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
24
diff
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, |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
24
diff
changeset
|
2 colsample_bytree=1, gamma=0, learning_rate=0.1, max_delta_step=0, |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
24
diff
changeset
|
3 max_depth=3, min_child_weight=1, missing=nan, n_estimators=100, |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
24
diff
changeset
|
4 n_jobs=1, nthread=None, objective='reg:linear', random_state=10, |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
24
diff
changeset
|
5 reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=None, |
64b771b1471a
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
24
diff
changeset
|
6 silent=True, subsample=1)} |