[ https://issues.apache.org/jira/browse/SPARK-8703?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Patrick Wendell updated SPARK-8703: ----------------------------------- Issue Type: Sub-task (was: New Feature) Parent: SPARK-8521 > Add CountVectorizer as a ml transformer to convert document to words count > vector > --------------------------------------------------------------------------------- > > Key: SPARK-8703 > URL: https://issues.apache.org/jira/browse/SPARK-8703 > Project: Spark > Issue Type: Sub-task > Components: ML > Reporter: yuhao yang > Assignee: yuhao yang > Fix For: 1.5.0 > > Original Estimate: 24h > Remaining Estimate: 24h > > Converts a text document to a sparse vector of token counts. Similar to > http://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html > I can further add an estimator to extract vocabulary from corpus if that's > appropriate. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org