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 ---- commit 7c61fb32801ed802b8792663b1769c9eddd1346e Author: Yuhao Yang <hhb...@gmail.com> Date: 2015-06-29T11:42:40Z add countVectorizer ---- --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org