Mercurial > repos > bgruening > sklearn_feature_selection

comparison test-data/named_steps.txt @ 25:41b109e70a7f draft

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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
author bgruening
date Mon, 16 Dec 2019 05:30:39 -0500
parents ec25331946b8
children 61edd9e5c17f
comparison
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24:4170e2bda73d 25:41b109e70a7f
1 {'preprocessing_1': SelectKBest(k=10, score_func=<function f_regression at 0x113310ea0>), 'estimator': XGBRegressor(base_score=0.5, booster='gbtree', colsample_bylevel=1, 1 {'preprocessing_1': SelectKBest(k=10, score_func=<function f_regression at 0x11b4ba8c8>), 'estimator': XGBRegressor(base_score=0.5, booster='gbtree', colsample_bylevel=1,
2 colsample_bytree=1, gamma=0, learning_rate=0.1, max_delta_step=0, 2 colsample_bytree=1, gamma=0, learning_rate=0.1, max_delta_step=0,
3 max_depth=3, min_child_weight=1, missing=nan, n_estimators=100, 3 max_depth=3, min_child_weight=1, missing=nan, n_estimators=100,
4 n_jobs=1, nthread=None, objective='reg:linear', random_state=10, 4 n_jobs=1, nthread=None, objective='reg:linear', random_state=10,
5 reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=None, 5 reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=None,
6 silent=True, subsample=1)} 6 silent=True, subsample=1)}