Hi all, I think we should refactor some machine learning model classes in Python to reduce the software maintainability. Inheriting JavaModelWrapper class, we can easily and directly call Scala API for the model without PythonMLlibAPI.
In some case, a machine learning model class in Python has complicated variables. That is, it is a little hard to implement import/export methods and it is also a little troublesome to implement the function in both of Scala and Python. And I think standardizing how to create a model class in python is important. What do you think about that? Thanks, Yu ----- -- Yu Ishikawa -- View this message in context: http://apache-spark-developers-list.1001551.n3.nabble.com/mllib-Refactoring-some-spark-mllib-model-classes-in-Python-not-inheriting-JavaModelWrapper-tp12781.html Sent from the Apache Spark Developers List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org For additional commands, e-mail: dev-h...@spark.apache.org
