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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" also used at ALS but the meaning for that is different
from here.
So we make "checkpointInterval" member of DecisionTreeParams for Python API,
because of it only validate when cacheNodeIds is true and the checkpoint
directory is set in the SparkContext.
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: Make "checkpointInterval" member of DecisionTreeParams for Python
API, because of it only validate when cacheNodeIds is true and the checkpoint
directory is set in the SparkContext.
> 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,
> because of it only validate when cacheNodeIds is true and the checkpoint
> directory is set in the SparkContext.
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