Mercurial > repos > bgruening > sklearn_numeric_clustering
annotate test-data/named_steps.txt @ 30:772db6f8bc24 draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit d6333e7294e67be5968a41f404b66699cad4ae53"
author | bgruening |
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date | Thu, 07 Nov 2019 05:46:52 -0500 |
parents | abb5a3f256e3 |
children | 83938131dd46 |
rev | line source |
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24
abb5a3f256e3
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff
changeset
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1 {'preprocessing_1': SelectKBest(k=10, score_func=<function f_regression at 0x113310ea0>), 'estimator': XGBRegressor(base_score=0.5, booster='gbtree', colsample_bylevel=1, |
abb5a3f256e3
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff
changeset
|
2 colsample_bytree=1, gamma=0, learning_rate=0.1, max_delta_step=0, |
abb5a3f256e3
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff
changeset
|
3 max_depth=3, min_child_weight=1, missing=nan, n_estimators=100, |
abb5a3f256e3
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff
changeset
|
4 n_jobs=1, nthread=None, objective='reg:linear', random_state=10, |
abb5a3f256e3
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff
changeset
|
5 reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=None, |
abb5a3f256e3
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit c0a3a186966888e5787335a7628bf0a4382637e7
bgruening
parents:
diff
changeset
|
6 silent=True, subsample=1)} |