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https://issues.apache.org/jira/browse/SPARK-7663?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-7663:
-----------------------------------
Assignee: Apache Spark
> [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: Improvement
> Components: ML, MLlib
> Affects Versions: 1.4.0
> Reporter: Xusen Yin
> Assignee: Apache Spark
> Priority: Minor
>
> 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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