Github user yinxusen commented on the pull request:
https://github.com/apache/spark/pull/11683#issuecomment-196493904
@mengxr Because I add these imports:
```python
from pyspark.ml.util import keyword_only, JavaMLWriter, JavaMLReader
from pyspark.ml.wrapper import JavaWrapper
```
And these imported classes import `Estimator`, `Transformer`, and `Model`
simultaneously. It causes the error of cross reference.
And also, I think it's better to split them because the `Estimator`,
`Transformer`, and `Model` are abstract classes, while `Pipeline` is not.
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