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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