Mercurial > repos > bgruening > keras_batch_models
annotate test-data/named_steps.txt @ 6:3814a92c1416 draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 756f8be9c3cd437e131e6410cd625c24fe078e8c"
author | bgruening |
---|---|
date | Wed, 22 Jan 2020 07:47:54 -0500 |
parents | 62b85c8ad8fa |
children | cada91b0c1d1 |
rev | line source |
---|---|
5
62b85c8ad8fa
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
0
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, |
62b85c8ad8fa
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
0
diff
changeset
|
2 colsample_bytree=1, gamma=0, learning_rate=0.1, max_delta_step=0, |
62b85c8ad8fa
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
0
diff
changeset
|
3 max_depth=3, min_child_weight=1, missing=nan, n_estimators=100, |
62b85c8ad8fa
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
0
diff
changeset
|
4 n_jobs=1, nthread=None, objective='reg:linear', random_state=10, |
62b85c8ad8fa
"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, |
62b85c8ad8fa
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
bgruening
parents:
0
diff
changeset
|
6 silent=True, subsample=1)} |