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Posted to issues@spark.apache.org by "yuhao yang (JIRA)" <ji...@apache.org> on 2017/10/06 07:34:00 UTC

[jira] [Comment Edited] (SPARK-22195) Add cosine similarity to org.apache.spark.ml.linalg.Vectors

    [ https://issues.apache.org/jira/browse/SPARK-22195?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16193844#comment-16193844 ] 

yuhao yang edited comment on SPARK-22195 at 10/6/17 7:33 AM:
-------------------------------------------------------------

Thanks for the feedback.

I don't see the existing implementation (RowMatrix or in Word2Vec) can fulfill the two scenarios:
1. Compute cosine similarity between two arbitrary vectors.
2. Compute cosine similarity between one vector and a group of other Vectors (usually candidates).

And I'm afraid that not everyone using Spark ML knows how to implement cosine similarity. 



was (Author: yuhaoyan):
Thanks for the feedback.

I don't see the existing implementation (RowMatrix or in Word2Vec) can fulfill the two scenarios:
1. Compute cosine similarity between two arbitrary vectors.
2. Compute cosine similarity between one vector and a group of other Vectors (usually candidates).

And again, not everyone using Spark ML know how to implement cosine similarity. 


> 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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