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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2022/02/21 10:16:01 UTC
[GitHub] [spark] zero323 commented on pull request #35554: [SPARK-38239][PYTHON][MLLIB] Fix pyspark.mllib.LogisticRegressionModel.__repr__
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...
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