Mercurial > repos > bgruening > sklearn_numeric_clustering
annotate test-data/named_steps.txt @ 38:84b973f24be3 draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 756f8be9c3cd437e131e6410cd625c24fe078e8c"
author | bgruening |
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date | Wed, 22 Jan 2020 12:30:53 +0000 |
parents | 80bb86a40de6 |
children | 0e4066f5751d |
rev | line source |
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37
80bb86a40de6
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
30
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, |
80bb86a40de6
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
30
diff
changeset
|
2 colsample_bytree=1, gamma=0, learning_rate=0.1, max_delta_step=0, |
80bb86a40de6
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
30
diff
changeset
|
3 max_depth=3, min_child_weight=1, missing=nan, n_estimators=100, |
80bb86a40de6
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
30
diff
changeset
|
4 n_jobs=1, nthread=None, objective='reg:linear', random_state=10, |
80bb86a40de6
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
30
diff
changeset
|
5 reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=None, |
80bb86a40de6
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
30
diff
changeset
|
6 silent=True, subsample=1)} |