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Posted to issues@spark.apache.org by "Jacek KK (JIRA)" <ji...@apache.org> on 2017/02/20 13:20:44 UTC

[jira] [Created] (SPARK-19668) Multiple NGram sizes

Jacek KK created SPARK-19668:
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             Summary: 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
            Priority: Minor


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?



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