GitHub user hhbyyh opened a pull request:
https://github.com/apache/spark/pull/7084
[Spark-8703] [ML] Add CountVectorizer as a ml transformer to convert
document to words count vector
jira: https://issues.apache.org/jira/browse/SPARK-8703
Converts a text document to a sparse vector of token counts.
I can further add an estimator to extract vocabulary from corpus if that's
appropriate.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/hhbyyh/spark countVectorization
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/7084.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 #7084
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commit 7c61fb32801ed802b8792663b1769c9eddd1346e
Author: Yuhao Yang <[email protected]>
Date: 2015-06-29T11:42:40Z
add countVectorizer
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