Mercurial > repos > bgruening > sklearn_ensemble

annotate test-data/named_steps.txt @ 39:53616c8b0865 draft

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planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 8850f42c2c3763e614f7454c9c006f3d2ff572c0
author bgruening
date Fri, 27 May 2022 12:23:42 +0000
parents af0523c606a7
children 6546d7c9f08b
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
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31
af0523c606a7 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents: 24
diff changeset
1 {'preprocessing_1': SelectKBest(k=10, score_func=<function f_regression at 0x11b4ba8c8>), 'estimator': XGBRegressor(base_score=0.5, booster='gbtree', colsample_bylevel=1,
af0523c606a7 "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,
af0523c606a7 "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,
af0523c606a7 "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,
af0523c606a7 "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,
af0523c606a7 "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)}