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)