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Posted to issues@spark.apache.org by "Xusen Yin (JIRA)" <ji...@apache.org> on 2015/05/15 11:19:59 UTC

[jira] [Created] (SPARK-7663) [MLLIB] feature.Word2Vec throws empty iterator error when the vocabulary size is zero

Xusen Yin created SPARK-7663:
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             Summary: [MLLIB] feature.Word2Vec throws empty iterator error when the vocabulary size is zero
                 Key: SPARK-7663
                 URL: https://issues.apache.org/jira/browse/SPARK-7663
             Project: Spark
          Issue Type: Bug
          Components: ML, MLlib
    Affects Versions: 1.4.0
            Reporter: Xusen Yin
             Fix For: 1.4.1


mllib.feature.Word2Vec at line 442: https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/mllib/feature/Word2Vec.scala#L442 uses `.head` to get the vector size. But it would throw an empty iterator error if the `minCount` is large enough to remove all words in the dataset.

But due to this is not a common scenario, so maybe we can ignore it. If so, we can close the issue directly. If not, I can add some code to print more elegant error hits.



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