[
https://issues.apache.org/jira/browse/SPARK-7667?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14565903#comment-14565903
]
Yanbo Liang commented on SPARK-7667:
------------------------------------
[~josephkb] I have found that some parameters mismatch but they are in public
APIs.
For example, in LinearRegressionWithSGD.train() we use intercept for Python
(https://github.com/apache/spark/blob/master/python/pyspark/mllib/regression.py#L193)
but addIntercept for Scala
(https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/mllib/regression/GeneralizedLinearAlgorithm.scala#L102).
I think it should not modify an public API.
Do we need only check and ensure the API consistency for
Alpha/Experimental/DeveloperApi component?
> MLlib Python API consistency check
> ----------------------------------
>
> Key: SPARK-7667
> URL: https://issues.apache.org/jira/browse/SPARK-7667
> Project: Spark
> Issue Type: Task
> Components: MLlib, PySpark
> Affects Versions: 1.4.0
> Reporter: Yanbo Liang
>
> Check and ensure the MLlib Python API(class/method/parameter) consistent with
> Scala.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
