[
https://issues.apache.org/jira/browse/SPARK-8455?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Patrick Wendell updated SPARK-8455:
-----------------------------------
Issue Type: Sub-task (was: New Feature)
Parent: SPARK-8521
> Implement N-Gram Feature Transformer
> ------------------------------------
>
> Key: SPARK-8455
> URL: https://issues.apache.org/jira/browse/SPARK-8455
> Project: Spark
> Issue Type: Sub-task
> Components: ML
> Reporter: Feynman Liang
> Assignee: Feynman Liang
> Priority: Minor
> Fix For: 1.5.0
>
>
> N-grams are a NLP feature representation which generalize bag of words to
> include local context (the n-1 preceding words). We can implement N-grams in
> ML as a feature transformer (likely directly after tokenization).
> For example, "this is a test" should tokenize to ["this","is","a","test"],
> which upon applying a 2-gram feature transform should yield
> [["this","is"],["is","a"],["a","test"]].
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
