如何从sklearn管道输出Pandas对象

import pandas as pd
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import StandardScaler
from sklearn.linear_model import LogisticRegression

data = pd.DataFrame({'feature1': [1, 2, 3, 4, 5],
                     'feature2': [6, 7, 8, 9, 10],
                     'target': [0, 0, 1, 1, 1]})

pipeline = Pipeline([
    ('scaler', StandardScaler()),  # 数据标准化
    ('classifier', LogisticRegression())  # 逻辑回归分类器
])

X = data[['feature1', 'feature2']]
y = data['target']

pipeline.fit(X, y)

new_data = pd.DataFrame({'feature1': [6, 7],
                         'feature2': [11, 12]})
predictions = pipeline.predict(new_data)