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https://issues.apache.org/jira/browse/SPARK-7045?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14507199#comment-14507199
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Manoj Kumar commented on SPARK-7045:
------------------------------------
I did try the method you suggested, but it does not work. Simple code to
reproduce
{code}
class a(f: Int) {
def tmp(c: Float) = c.asInstanceOf[Int]
def this(c: Float) = this(c)
}
{code}
This fails with an error called "constructor's definition must precede calling
constructor's definition."
> Word2Vec: avoid intermediate representation when creating model
> ---------------------------------------------------------------
>
> Key: SPARK-7045
> URL: https://issues.apache.org/jira/browse/SPARK-7045
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 1.4.0
> Reporter: Joseph K. Bradley
> Priority: Minor
>
> Word2VecModel now stores the word vectors as a single, flat array; Word2Vec
> does as well. However, when Word2Vec creates the model, it builds an
> intermediate representation. We should skip that intermediate representation.
> However, it will be nice to create a public constructor for Word2VecModel
> which takes that intermediate representation (a Map from String words to
> their Vectors), since it's a user-friendly representation.
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