9211 7680 sklearn.pipeline.Pipeline(SMP=sklearn.impute.SimpleImputer,RBS=sklearn.preprocessing.data.RobustScaler,LGR=sklearn.linear_model.logistic.LogisticRegression) sklearn.pipeline.Pipeline 1 openml==0.7.0,sklearn==0.20.1 Automatically created scikit-learn flow. 2019-02-22T06:51:56 English sklearn==0.20.1 numpy>=1.6.1 scipy>=0.9 memory null steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "SMP", "step_name": "SMP"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "RBS", "step_name": "RBS"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "LGR", "step_name": "LGR"}}] SMP 8877 287 sklearn.impute.SimpleImputer sklearn.impute.SimpleImputer 5 openml==0.7.0,sklearn==0.20.1 Automatically created scikit-learn flow. 2018-12-19T15:12:06 English sklearn==0.20.1 numpy>=1.6.1 scipy>=0.9 copy true fill_value null missing_values NaN strategy "mean" verbose 0 openml-python python scikit-learn sklearn sklearn_0.20.1 LGR 8963 7680 sklearn.linear_model.logistic.LogisticRegression sklearn.linear_model.logistic.LogisticRegression 20 openml==0.7.0,sklearn==0.20.1 Automatically created scikit-learn flow. 2019-02-14T11:12:55 English sklearn==0.20.1 numpy>=1.6.1 scipy>=0.9 C 5.0 class_weight null dual false fit_intercept true intercept_scaling 1 max_iter 100 multi_class "ovr" n_jobs -1 penalty "l1" random_state null solver "liblinear" tol 0.0001 verbose 0 warm_start false openml-python python scikit-learn sklearn sklearn_0.20.1 RBS 8977 7680 sklearn.preprocessing.data.RobustScaler sklearn.preprocessing.data.RobustScaler 5 openml==0.7.0,sklearn==0.20.1 Automatically created scikit-learn flow. 2019-02-14T11:41:04 English sklearn==0.20.1 numpy>=1.6.1 scipy>=0.9 copy true quantile_range [25.0, 75.0] with_centering true with_scaling true openml-python python scikit-learn sklearn sklearn_0.20.1 openml-python python scikit-learn sklearn sklearn_0.20.1