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| author | Yuhao Yang <hhbyyh@gmail.com> | 2016-01-13 17:43:27 -0800 |
|---|---|---|
| committer | Joseph K. Bradley <joseph@databricks.com> | 2016-01-13 17:43:27 -0800 |
| commit | 021dafc6a05a31dc22c9f9110dedb47a1f913087 (patch) | |
| tree | bd2f61d86f90a8b0d9147f26b104e65550f49e0c /docs/mllib-clustering.md | |
| parent | cd81fc9e8652c07b84f0887a24d67381b4e605fa (diff) | |
| download | spark-021dafc6a05a31dc22c9f9110dedb47a1f913087.tar.gz spark-021dafc6a05a31dc22c9f9110dedb47a1f913087.tar.bz2 spark-021dafc6a05a31dc22c9f9110dedb47a1f913087.zip | |
[SPARK-12026][MLLIB] ChiSqTest gets slower and slower over time when number of features is large
jira: https://issues.apache.org/jira/browse/SPARK-12026
The issue is valid as features.toArray.view.zipWithIndex.slice(startCol, endCol) becomes slower as startCol gets larger.
I tested on local and the change can improve the performance and the running time was stable.
Author: Yuhao Yang <hhbyyh@gmail.com>
Closes #10146 from hhbyyh/chiSq.
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