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https://issues.apache.org/jira/browse/SPARK-7667?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang updated SPARK-7667:
-------------------------------
Description:
Check and ensure the MLlib Python API(class/method/parameter) consistent with
Scala.
The following APIs are not consistent:
* class
* method
** recommendation.MatrixFactorizationModel.predictAll() (Because it's a public
API, so not change it)
* parameter
** feature.StandardScaler.fit()
** many transform() function of feature module
was:
Check and ensure the MLlib Python API(class/method/parameter) consistent with
Scala.
The following APIs are not consistent:
* class
* method
** recommendation.MatrixFactorizationModel.predictAll()
* parameter
** feature.StandardScaler.fit()
** many transform() function of feature module
> 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.
> The following APIs are not consistent:
> * class
> * method
> ** recommendation.MatrixFactorizationModel.predictAll() (Because it's a
> public API, so not change it)
> * parameter
> ** feature.StandardScaler.fit()
> ** many transform() function of feature module
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