zero323 commented on pull request #35554: URL: https://github.com/apache/spark/pull/35554#issuecomment-1046701633
@HyukjinKwon There is simply no such method define. `_call_java` is part of the `pyspark.ml.wrapper.JavaWrapper` API, which is not used in `pyspark.mllib`. Also, JVM model is not captured in this (and most of the `pyspark.mllib` if I recall correctly), so there is no object on which such method could be invoked ‒ if there was, we'd use something like tree models: https://github.com/apache/spark/blob/3a750ca4686e85e715c48c688f48acf7851144ed/python/pyspark/mllib/tree.py#L76-L78 In general, `mllib` models don't have consistent string representation ‒ some just use `object` implementation, some summary like this one, some show [coefficients](https://github.com/apache/spark/blob/3a750ca4686e85e715c48c688f48acf7851144ed/python/pyspark/mllib/regression.py#L110-L111), and every time we use `__repr__` instead of `__str__`. If API wasn't in maintenance mode, that be something to address I guess... -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
