在完成O'Reilly Hands on ML 遇到的坑爹问题

from future_encoders import OneHotEncoder
#from sklearn.preprocessing import OneHotEncoder
#throw ValueError

cat_pipeline = Pipeline([
    ('select_cat', DataFrameSelector(['Pclass', 'Sex', 'Embarked'])), 
    ('imputer', MostFrequentImputer()),
    ('cat_encoder', OneHotEncoder(sparse=False)),
])

cat_pipeline.fit_transform(train_data)
from future_encoders import OneHotEncoder
#f