[
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 <[email protected]>
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)
