annotate test-data/get_params12.tabular @ 35:6c55d8a36f93 draft

planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb

	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.