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https://issues.apache.org/jira/browse/SPARK-10835?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sumit Chawla updated SPARK-10835:
---------------------------------
Description:
Currently output type of NGram is Array(String, false), which is not compatible
with LDA since their input type is Array(String, true).
was:
Currently output type of Tokenizer is Array(String, false), which is not
compatible with Word2Vec and Other transformers since their input type is
Array(String, true). Seq[String] in udf will be treated as Array(String, true)
by default.
I'm also thinking for Nullable columns, maybe tokenizer should return
Array(null) for null value in the input.
> Change Output of NGram to Array(String, True)
> ---------------------------------------------
>
> Key: SPARK-10835
> URL: https://issues.apache.org/jira/browse/SPARK-10835
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Reporter: Sumit Chawla
> Assignee: yuhao yang
> Priority: Minor
> Fix For: 1.5.0
>
>
> Currently output type of NGram is Array(String, false), which is not
> compatible with LDA since their input type is Array(String, true).
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