GitHub user mgaido91 opened a pull request:
https://github.com/apache/spark/pull/20364
[SPARK-23166][ML] Add maxDF to CountVectorizer
## What changes were proposed in this pull request?
It might be useful to also have a maxDF parameter in CountVectorizer.
It might be used as a threshold for filtering all the terms that occur very
frequently in a text corpus, because they are not very informative or could
even be stop-words.
This is analogous to scikit-learn, CountVectorizer, max_df.
## How was this patch tested?
added UTs
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/mgaido91/spark SPARK-23166
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/20364.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 #20364
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commit f01f1cabbed710301fd6837a101f36f2c5d8e1fc
Author: Marco Gaido <marcogaido91@...>
Date: 2018-01-23T15:54:12Z
[SPARK-23166][ML] Add maxDF to CountVectorizer
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