Mercurial > repos > bgruening > sklearn_lightgbm
comparison test-data/get_params12.tabular @ 0:13226b2ddfb4 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 07:51:20 -0500 |
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-1:000000000000 | 0:13226b2ddfb4 |
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1 Parameter Value | |
2 @ estimator "estimator: XGBRegressor(base_score=0.5, booster='gbtree', colsample_bylevel=1, | |
3 colsample_bytree=1, gamma=0, learning_rate=0.1, max_delta_step=0, | |
4 max_depth=3, min_child_weight=1, missing=nan, n_estimators=100, | |
5 n_jobs=1, nthread=None, objective='reg:linear', random_state=0, | |
6 reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=None, | |
7 silent=True, subsample=1)" | |
8 @ n_features_to_select n_features_to_select: None | |
9 * step step: 1 | |
10 * verbose verbose: 0 | |
11 @ estimator__base_score estimator__base_score: 0.5 | |
12 @ estimator__booster estimator__booster: 'gbtree' | |
13 @ estimator__colsample_bylevel estimator__colsample_bylevel: 1 | |
14 @ estimator__colsample_bytree estimator__colsample_bytree: 1 | |
15 @ estimator__gamma estimator__gamma: 0 | |
16 @ estimator__learning_rate estimator__learning_rate: 0.1 | |
17 @ estimator__max_delta_step estimator__max_delta_step: 0 | |
18 @ estimator__max_depth estimator__max_depth: 3 | |
19 @ estimator__min_child_weight estimator__min_child_weight: 1 | |
20 @ estimator__missing estimator__missing: nan | |
21 @ estimator__n_estimators estimator__n_estimators: 100 | |
22 * estimator__n_jobs estimator__n_jobs: 1 | |
23 * estimator__nthread estimator__nthread: None | |
24 @ estimator__objective estimator__objective: 'reg:linear' | |
25 @ estimator__random_state estimator__random_state: 0 | |
26 @ estimator__reg_alpha estimator__reg_alpha: 0 | |
27 @ estimator__reg_lambda estimator__reg_lambda: 1 | |
28 @ estimator__scale_pos_weight estimator__scale_pos_weight: 1 | |
29 @ estimator__seed estimator__seed: None | |
30 @ estimator__silent estimator__silent: True | |
31 @ estimator__subsample estimator__subsample: 1 | |
32 Note: @, params eligible for search in searchcv tool. |