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https://issues.apache.org/jira/browse/SPARK-22195?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16190868#comment-16190868
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Sean Owen commented on SPARK-22195:
-----------------------------------
Does this add much? it's just dot(A,B) / (norm(A) * norm(B)), and typically you
need to precompute one of the norms anyway (unlikely both)
> Add cosine similarity to org.apache.spark.ml.linalg.Vectors
> -----------------------------------------------------------
>
> Key: SPARK-22195
> URL: https://issues.apache.org/jira/browse/SPARK-22195
> Project: Spark
> Issue Type: New Feature
> Components: ML
> Affects Versions: 2.2.0
> Reporter: yuhao yang
> Priority: Minor
>
> https://en.wikipedia.org/wiki/Cosine_similarity:
> As the most important measure of similarity, I found it quite useful in some
> image and NLP applications according to personal experience.
> Suggest to add function for cosine similarity in
> org.apache.spark.ml.linalg.Vectors.
> Interface:
> def cosineSimilarity(v1: Vector, v2: Vector): Double = ...
> def cosineSimilarity(v1: Vector, v2: Vector, norm1: Double, norm2: Double):
> Double = ...
> Appreciate suggestions and need green light from committers.
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