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https://issues.apache.org/jira/browse/SPARK-13783?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15211407#comment-15211407
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Gayathri Murali commented on SPARK-13783:
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[~yanboliang] I am working on Random Forest and I have similar options for
discussion. One more suggestion here
1. Store each tree in single data frame, saved to a single parquet file. treeID
added to the node data and tree reconstruction done using the pre order
approach used in DecisionTree. Does this approach work?
> Model export/import for spark.ml: GBTs
> --------------------------------------
>
> Key: SPARK-13783
> URL: https://issues.apache.org/jira/browse/SPARK-13783
> Project: Spark
> Issue Type: Sub-task
> Components: ML
> Reporter: Joseph K. Bradley
>
> This JIRA is for both GBTClassifier and GBTRegressor. The implementation
> should reuse the one for DecisionTree*.
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