flink-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-1933) Add distance measure interface and basic implementation to machine learning library
Date Mon, 04 May 2015 08:18:05 GMT

    [ https://issues.apache.org/jira/browse/FLINK-1933?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14526401#comment-14526401
] 

ASF GitHub Bot commented on FLINK-1933:
---------------------------------------

Github user tillrohrmann commented on the pull request:

    https://github.com/apache/flink/pull/629#issuecomment-98626668
  
    Well done @chiwanpark.
    
    The only thing which is missing is an overview page with all supported distance measures
for the Flink website. Could you add such a site? You find in `flink/docs/libs/ml/` examples
for other ML documentation. If you write 2-3 sentences and list all the different distance
measures, then it would be perfect :-) I will then merge the PR.


> Add distance measure interface and basic implementation to machine learning library
> -----------------------------------------------------------------------------------
>
>                 Key: FLINK-1933
>                 URL: https://issues.apache.org/jira/browse/FLINK-1933
>             Project: Flink
>          Issue Type: New Feature
>          Components: Machine Learning Library
>            Reporter: Chiwan Park
>            Assignee: Chiwan Park
>              Labels: ML
>
> Add distance measure interface to calculate distance between two vectors and some implementations
of the interface. In FLINK-1745, [~till.rohrmann] suggests a interface following:
> {code}
> trait DistanceMeasure {
>   def distance(a: Vector, b: Vector): Double
> }
> {code}
> I think that following list of implementation is sufficient to provide first to ML library
users.
> * Manhattan distance [1]
> * Cosine distance [2]
> * Euclidean distance (and Squared) [3]
> * Tanimoto distance [4]
> * Minkowski distance [5]
> * Chebyshev distance [6]
> [1]: http://en.wikipedia.org/wiki/Taxicab_geometry
> [2]: http://en.wikipedia.org/wiki/Cosine_similarity
> [3]: http://en.wikipedia.org/wiki/Euclidean_distance
> [4]: http://en.wikipedia.org/wiki/Jaccard_index#Tanimoto_coefficient_.28extended_Jaccard_coefficient.29
> [5]: http://en.wikipedia.org/wiki/Minkowski_distance
> [6]: http://en.wikipedia.org/wiki/Chebyshev_distance



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

Mime
View raw message