AutoCross使用实例

作者您好！请问可以在官方文档中增加AutoCross的使用实例吗？
from pyalink.alink import *
from pyalink.alink import AutoCrossBatchOp
import pandas as pd

# 初始化环境
useLocalEnv(1)

# 将 DataFrame 转换为 Alink 的 BatchOperator
train_data = BatchOperator.fromDataframe(train_data, schemaStr="id int, Time double, feat1 double, feat2 double, feat3 double, feat4 double, feat5 double, feat6 double, feat7 double, feat8 double, feat9 double, feat10 double, feat11 double, feat12 double, feat13 double, feat14 double, feat15 double, feat16 double, feat17 double, feat18 double, feat19 double, feat20 double, feat21 double, feat22 double, feat23 double, feat24 double, feat25 double, feat26 double, feat27 double, feat28 double, Transaction_Amount double, IsFraud int")

# 配置 AutoCross
auto_cross = AutoCrossBatchOp() \
.setSelectedCols(["feat1", "feat2", "feat3", "feat4", "feat5", "feat6", "feat7", "feat8", "feat9", "feat10", "feat11", "feat12", "feat13", "feat14", "feat15", "feat16", "feat17", "feat18", "feat19", "feat20", "feat21", "feat22", "feat23", "feat24", "feat25", "feat26", "feat27", "feat28"]) \
.setLabelCol("IsFraud") \
.setOutputCol("crossed_features")

# 训练 AutoCross 模型
model = auto_cross.fit(train_data)

# 使用模型进行特征交叉
result = model.transform(train_data)

# 打印结果
result.print()

---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
Cell In[6], line 2
1 from pyalink.alink import *
----> 2 from pyalink.alink import AutoCrossBatchOp
3 import pandas as pd
5 # 初始化环境

ImportError: cannot import name 'AutoCrossBatchOp' from 'pyalink.alink' ([D:\Anaconda\envs\pyalink\lib\site-packages\pyalink\alink\__init__.py](file:///D:/Anaconda/envs/pyalink/lib/site-packages/pyalink/alink/__init__.py))

我使用的是如下版本的pyalink.

Start by checking the AutoCrossBatchOp import shown in the issue and the installed pyalink.alink package path, then locate the official documentation entry for AutoCross. Confirm the supported usage and import behavior, and add a runnable Python example that explains the required version or import details.

Written by the indexing model from the issue text.