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https://issues.apache.org/jira/browse/SPARK-10023?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-10023:
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Assignee: (was: Apache Spark)
> Unified DecisionTreeParams "checkpointInterval" between Scala and Python API.
> -----------------------------------------------------------------------------
>
> Key: SPARK-10023
> URL: https://issues.apache.org/jira/browse/SPARK-10023
> Project: Spark
> Issue Type: Sub-task
> Components: ML, PySpark
> Reporter: Yanbo Liang
>
> "checkpointInterval" is member of DecisionTreeParams in Scala API which is
> inconsistency with Python API, we should unified them.
> * checkpointInterval
> ** member of DecisionTreeParams <-> Scala API
> ** shared param used for all ML Transformer/Estimator <-> Python API
> Proposal:
> "checkpointInterval" also used at ALS but the meaning for that is different
> from here.
> So we make "checkpointInterval" member of DecisionTreeParams for Python API,
> it only validate when cacheNodeIds is true and the checkpoint directory is
> set in the SparkContext.
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