Mercurial > repos > bgruening > sklearn_pca

comparison test-data/get_params12.tabular @ 0:2d7016b3ae92 draft

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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2afb24f3c81d625312186750a714d702363012b5"
author bgruening
date Fri, 02 Oct 2020 08:45:21 +0000
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-1:000000000000 0:2d7016b3ae92
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.