GitHub user maropu opened a pull request: https://github.com/apache/incubator-hivemall/pull/139
[HIVEMALL-182][SPARK][WIP] Add an optimizer rule to filter out columns with low variances ## What changes were proposed in this pull request? This pr added a new optimizer rule `VarianceThreshold` in Spark. TODO - Add docs in gitbook - Add more tests - Brush up `VarianceThreshold` code ## What type of PR is it? Feature ## What is the Jira issue? https://issues.apache.org/jira/browse/HIVEMALL-182 ## How was this patch tested? Added tests in `FeatureSelectionRuleSuite`. You can merge this pull request into a Git repository by running: $ git pull https://github.com/maropu/incubator-hivemall HIVEMALL-182 Alternatively you can review and apply these changes as the patch at: https://github.com/apache/incubator-hivemall/pull/139.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 #139 ---- commit dc5af08c6a18fb9f4cebf7d7f619cbd053165e1f Author: Takeshi Yamamuro <yamamuro@...> Date: 2018-03-29T22:26:40Z Add an optimizer rule to filter out columns with low variances ---- ---