make_pipeline
from sklearn import set_config
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import OneHotEncoder, StandardScaler
from sklearn.impute import SimpleImputer
from sklearn.compose import make_column_transformer
from sklearn.linear_model import LogisticRegression
set_config(display='diagram')
num_proc = make_pipeline(SimpleImputer(strategy='median'), StandardScaler())
cat_proc = make_pipeline(
SimpleImputer(strategy='constant', fill_value='missing'),
OneHotEncoder(handle_unknown='ignore'))
preprocessor = make_column_transformer((num_proc, ('feat1', 'feat3')),
(cat_proc, ('feat0', 'feat2')))
clf = make_pipeline(preprocessor, LogisticRegression())
clf
