[ https://issues.apache.org/jira/browse/SPARK-19668?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-19668: ------------------------------------ Assignee: Apache Spark > Multiple NGram sizes > -------------------- > > Key: SPARK-19668 > URL: https://issues.apache.org/jira/browse/SPARK-19668 > Project: Spark > Issue Type: Improvement > Components: ML > Affects Versions: 2.1.0 > Reporter: Jacek KK > Assignee: Apache Spark > Priority: Minor > Labels: beginner, easyfix, newbie > > It would be nice to have a possibility of specyfing the range (or maybe a > list of) sizes of ngrams, like it is done in sklearn, as in > http://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html#sklearn.feature_extraction.text.TfidfVectorizer > This shouldn't be difficult to add, the code is very straightforward, and I > can implement it. The only issue is with the NGram API - should it just > accept a number/tuple/list? -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org