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From "Apache Spark (JIRA)" <>
Subject [jira] [Commented] (SPARK-15767) Decision Tree Regression wrapper in SparkR
Date Wed, 15 Jun 2016 20:45:10 GMT


Apache Spark commented on SPARK-15767:

User 'vectorijk' has created a pull request for this issue:

> Decision Tree Regression wrapper in SparkR
> ------------------------------------------
>                 Key: SPARK-15767
>                 URL:
>             Project: Spark
>          Issue Type: New Feature
>          Components: ML, SparkR
>            Reporter: Kai Jiang
>            Assignee: Kai Jiang
> Implement a wrapper in SparkR to support decision tree regression. R's naive Decision
Tree Regression implementation is from package rpart with signature rpart(formula, dataframe,
method="anova"). I propose we could implement API like spark.decisionTreeRegression(dataframe,
formula, ...) .  After having implemented decision tree classification, we could refactor
this two into an API more like rpart()

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