GitHub user lionelfeng opened a pull request:
https://github.com/apache/spark/pull/12265
[SPARK-14497][ML] Use top instead of sortBy() to get top N frequent words
as dict in ConutVectorizer
## What changes were proposed in this pull request?
Replace sortBy() with top() to calculate the top N frequent words as
dictionary.
## How was this patch tested?
existing unit tests. The terms with same TF would be sorted in descending
order. The test would fail if hardcode the terms with same TF the dictionary
like "c", "d"...
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/lionelfeng/spark master
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/12265.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 #12265
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commit 8fd39ff44cb268c5bcfad2efffc66feb557a2ccd
Author: fwang1 <[email protected]>
Date: 2016-04-08T19:52:57Z
use top() insteand sort() to get dict
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