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-1745) Add exact k-nearest-neighbours algorithm to machine learning library
Date Mon, 05 Oct 2015 12:11:27 GMT

    [ https://issues.apache.org/jira/browse/FLINK-1745?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14943281#comment-14943281
] 

ASF GitHub Bot commented on FLINK-1745:
---------------------------------------

Github user danielblazevski commented on the pull request:

    https://github.com/apache/flink/pull/1220#issuecomment-145508479
  
    Changed the title of the PR.
    
    On Mon, Oct 5, 2015 at 3:28 AM, Ufuk Celebi <notifications@github.com>
    wrote:
    
    > Thanks for this impressive PR. A minor comment: could you edit the title
    > of the PR to include more details than the issue ID (we can't do it because
    > the ASF is managing the github account). It's hard to track the PRs
    > otherwise. I would just go with the JIRA title: [FLINK-1745] Add exact
    > k-nearest-neighbours algorithm to machine learning library
    >
    > —
    > Reply to this email directly or view it on GitHub
    > <https://github.com/apache/flink/pull/1220#issuecomment-145449146>.
    >



> Add exact k-nearest-neighbours algorithm to machine learning library
> --------------------------------------------------------------------
>
>                 Key: FLINK-1745
>                 URL: https://issues.apache.org/jira/browse/FLINK-1745
>             Project: Flink
>          Issue Type: New Feature
>          Components: Machine Learning Library
>            Reporter: Till Rohrmann
>            Assignee: Daniel Blazevski
>              Labels: ML, Starter
>
> Even though the k-nearest-neighbours (kNN) [1,2] algorithm is quite trivial it is still
used as a mean to classify data and to do regression. This issue focuses on the implementation
of an exact kNN (H-BNLJ, H-BRJ) algorithm as proposed in [2].
> Could be a starter task.
> Resources:
> [1] [http://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm]
> [2] [https://www.cs.utah.edu/~lifeifei/papers/mrknnj.pdf]



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

Mime
View raw message