GitHub user zhengruifeng opened a pull request:
https://github.com/apache/spark/pull/12819
[DO-NOT-MERGE][TEST] Refactor NaiveBayes to support weighted instances
## What changes were proposed in this pull request?
1,support weighted data
2,use dataframe instead of rdd
## How was this patch tested?
local manual tests in spark-shell
I will link this PR to the JIRA when all case tests pass
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/zhengruifeng/spark weighted_nb
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/12819.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 #12819
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commit 510ff2480ef782c6f4bb2401d5a7c3f49ac6ed62
Author: Zheng RuiFeng <[email protected]>
Date: 2016-05-01T02:54:27Z
refactor nb to support weight
commit a7c1d8e94ef128c7519380260bb20128fdfdb06b
Author: Zheng RuiFeng <[email protected]>
Date: 2016-05-01T07:43:43Z
add test case
commit 2dc4b23f5b5e840a182c1c076c5adbb5f7511fe5
Author: Zheng RuiFeng <[email protected]>
Date: 2016-05-01T07:50:51Z
reorder imports
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