GitHub user vectorijk opened a pull request:
https://github.com/apache/spark/pull/13690
[SPARK-15767][R][ML][WIP] Decision Tree Regression wrapper in SparkR
## What changes were proposed in this pull request?
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()`.
## How was this patch tested?
Test with unit test in SparkR
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/vectorijk/spark DEV-DTRegression
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/13690.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #13690
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commit 7ea95448829c3e981ae05542e1aaae77f2f996ce
Author: Kai Jiang <[email protected]>
Date: 2016-06-04T11:29:41Z
init step
lack of implementing unit test for spark.rpart
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