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  1. Spark
  2. SPARK-15767

Decision Tree Regression wrapper in SparkR

    Details

    • Type: New Feature
    • Status: Resolved
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: None
    • Fix Version/s: 2.3.0
    • Component/s: ML, SparkR
    • Labels:
      None
    • Target Version/s:

      Description

      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.rpart(dataframe, formula, ...) . After having implemented decision tree classification, we could refactor this two into an API more like rpart()

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              • Assignee:
                podongfeng zhengruifeng
                Reporter:
                vectorijk Kai Jiang
                Shepherd:
                Felix Cheung
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                • Created:
                  Updated:
                  Resolved: