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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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Yanbo Liang updated SPARK-10023:
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Description:
"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" is also used by ALS, so we make it shared params at Scala.
was:
"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" is also used at ALS but the meaning for that is different
from here.
So we make "checkpointInterval" member of DecisionTreeParams for Python API.
Because it only validate when cacheNodeIds is true and the checkpoint directory
is set in the SparkContext, it not a common shared param.
> 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" is also used by ALS, so we make it shared params at
> Scala.
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