Pipeline(steps=[('column_selector', ColumnSelector(cols=['alcohol', 'density', 'fixed acidity', 'residual sugar', 'sulphates', 'volatile acidity', 'citric acid', 'free sulfur dioxide', 'pH', 'chlorides', 'total sulfur dioxide'])), ('preprocessor', ColumnTransformer(remainder='passthrough', sparse_threshold=0, transformers=[('numerical', Pipeline(steps=[('converter', Functi... 'citric acid', 'free sulfur dioxide', 'pH', 'chlorides', 'total sulfur dioxide'])])), ('regressor', LGBMRegressor(colsample_bytree=0.6505873538375593, lambda_l1=497.23364507194253, lambda_l2=10.247278083927856, learning_rate=0.010591811060159174, max_bin=496, max_depth=5, min_child_samples=41, n_estimators=162, num_leaves=9, random_state=668290694, subsample=0.6795749046696467))])In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
Pipeline(steps=[('column_selector', ColumnSelector(cols=['alcohol', 'density', 'fixed acidity', 'residual sugar', 'sulphates', 'volatile acidity', 'citric acid', 'free sulfur dioxide', 'pH', 'chlorides', 'total sulfur dioxide'])), ('preprocessor', ColumnTransformer(remainder='passthrough', sparse_threshold=0, transformers=[('numerical', Pipeline(steps=[('converter', Functi... 'citric acid', 'free sulfur dioxide', 'pH', 'chlorides', 'total sulfur dioxide'])])), ('regressor', LGBMRegressor(colsample_bytree=0.6505873538375593, lambda_l1=497.23364507194253, lambda_l2=10.247278083927856, learning_rate=0.010591811060159174, max_bin=496, max_depth=5, min_child_samples=41, n_estimators=162, num_leaves=9, random_state=668290694, subsample=0.6795749046696467))])
ColumnSelector(cols=['alcohol', 'density', 'fixed acidity', 'residual sugar', 'sulphates', 'volatile acidity', 'citric acid', 'free sulfur dioxide', 'pH', 'chlorides', 'total sulfur dioxide'])
ColumnTransformer(remainder='passthrough', sparse_threshold=0, transformers=[('numerical', Pipeline(steps=[('converter', FunctionTransformer(func=<function <lambda> at 0x7fa5d6f6cca0>)), ('imputers', ColumnTransformer(transformers=[('impute_mean', SimpleImputer(), ['alcohol', 'chlorides', 'citric ' 'acid', 'density', 'fixed ' 'acidity', 'free ' 'sulfur ' 'dioxide', 'pH', 'residual ' 'sugar', 'sulphates', 'total ' 'sulfur ' 'dioxide', 'volatile ' 'acidity'])])), ('standardizer', StandardScaler())]), ['alcohol', 'density', 'fixed acidity', 'residual sugar', 'sulphates', 'volatile acidity', 'citric acid', 'free sulfur dioxide', 'pH', 'chlorides', 'total sulfur dioxide'])])
['alcohol', 'density', 'fixed acidity', 'residual sugar', 'sulphates', 'volatile acidity', 'citric acid', 'free sulfur dioxide', 'pH', 'chlorides', 'total sulfur dioxide']
FunctionTransformer(func=<function <lambda> at 0x7fa5d6f6cca0>)
ColumnTransformer(transformers=[('impute_mean', SimpleImputer(), ['alcohol', 'chlorides', 'citric acid', 'density', 'fixed acidity', 'free sulfur dioxide', 'pH', 'residual sugar', 'sulphates', 'total sulfur dioxide', 'volatile acidity'])])
['alcohol', 'chlorides', 'citric acid', 'density', 'fixed acidity', 'free sulfur dioxide', 'pH', 'residual sugar', 'sulphates', 'total sulfur dioxide', 'volatile acidity']
SimpleImputer()
StandardScaler()
[]
passthrough
LGBMRegressor(colsample_bytree=0.6505873538375593, lambda_l1=497.23364507194253, lambda_l2=10.247278083927856, learning_rate=0.010591811060159174, max_bin=496, max_depth=5, min_child_samples=41, n_estimators=162, num_leaves=9, random_state=668290694, subsample=0.6795749046696467)