Mercurial > repos > bgruening > sklearn_pairwise_metrics
view test-data/get_params12.tabular @ 32:f24deab884d0 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 08:01:24 -0500 (2020-01-22) |
parents | bc17040617c0 |
children |
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Parameter Value @ estimator "estimator: XGBRegressor(base_score=0.5, booster='gbtree', colsample_bylevel=1, colsample_bytree=1, gamma=0, learning_rate=0.1, max_delta_step=0, max_depth=3, min_child_weight=1, missing=nan, n_estimators=100, n_jobs=1, nthread=None, objective='reg:linear', random_state=0, reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=None, silent=True, subsample=1)" @ n_features_to_select n_features_to_select: None * step step: 1 * verbose verbose: 0 @ estimator__base_score estimator__base_score: 0.5 @ estimator__booster estimator__booster: 'gbtree' @ estimator__colsample_bylevel estimator__colsample_bylevel: 1 @ estimator__colsample_bytree estimator__colsample_bytree: 1 @ estimator__gamma estimator__gamma: 0 @ estimator__learning_rate estimator__learning_rate: 0.1 @ estimator__max_delta_step estimator__max_delta_step: 0 @ estimator__max_depth estimator__max_depth: 3 @ estimator__min_child_weight estimator__min_child_weight: 1 @ estimator__missing estimator__missing: nan @ estimator__n_estimators estimator__n_estimators: 100 * estimator__n_jobs estimator__n_jobs: 1 * estimator__nthread estimator__nthread: None @ estimator__objective estimator__objective: 'reg:linear' @ estimator__random_state estimator__random_state: 0 @ estimator__reg_alpha estimator__reg_alpha: 0 @ estimator__reg_lambda estimator__reg_lambda: 1 @ estimator__scale_pos_weight estimator__scale_pos_weight: 1 @ estimator__seed estimator__seed: None @ estimator__silent estimator__silent: True @ estimator__subsample estimator__subsample: 1 Note: @, params eligible for search in searchcv tool.