Github user jyshen15 commented on the pull request:
https://github.com/apache/spark/pull/11812#issuecomment-200416321
@MLnick cool! It actually comes down to the question that what should the
`getVectors ` outputs? If the equation ` getVectors("Paris") -
getVectors("France") + getVectors("Italy") = getVectors("Rome") `
holds,`getVectors` needs to output the normalized vector. If that is the case,
we can add one more interface `getOriginalVectors()` to output the unnormalized
vector, including the information of frequency of the word.
So, is it good to do as follows:
1. `getVectors()` outputs the normalized vector
2. Add one new `getOriginalVectors()`
3. `findSynonyms()` gives the similarity score between 0 and 1. It should
also considers the case that the input vector is not normalized.
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