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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/08/30 12:28:45 UTC
[jira] [Assigned] (SPARK-10023) Unified DecisionTreeParams
"checkpointInterval" between Scala and Python API.
[ https://issues.apache.org/jira/browse/SPARK-10023?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-10023:
------------------------------------
Assignee: 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
> Assignee: Apache Spark
>
> "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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