GitHub user ymazari opened a pull request: https://github.com/apache/spark/pull/20367
[SPARK-23166][ML] Add maxDF Parameter to CountVectorizer ## What changes were proposed in this pull request? Currently, the CountVectorizer has a minDF parameter. It might be useful to also have a maxDF parameter. It will 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? Unit tests. You can merge this pull request into a Git repository by running: $ git pull https://github.com/ymazari/spark SPARK-23166 Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/20367.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 #20367 ---- commit f9eb543ea2c9f9c1d4c96db112a4e14a9c1beb11 Author: Yacine Mazari <y.mazari@...> Date: 2018-01-23T19:11:52Z [SPARK-23166][ML] Add maxDF Parameter to CountVectorizer ---- --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org