[jira] [Assigned] (SPARK-8703) Add CountVectorizer as a ml transformer to convert document to words count vector
[ https://issues.apache.org/jira/browse/SPARK-8703?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-8703: --- Assignee: Apache Spark 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: New Feature Components: ML Reporter: yuhao yang Assignee: Apache Spark Original Estimate: 24h Remaining Estimate: 24h 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. -- 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
[jira] [Assigned] (SPARK-8703) Add CountVectorizer as a ml transformer to convert document to words count vector
[ https://issues.apache.org/jira/browse/SPARK-8703?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-8703: --- Assignee: (was: Apache Spark) 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: New Feature Components: ML Reporter: yuhao yang Original Estimate: 24h Remaining Estimate: 24h 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. -- 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