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https://issues.apache.org/jira/browse/FLINK-1745?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15208861#comment-15208861
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ASF GitHub Bot commented on FLINK-1745:
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Github user tillrohrmann commented on the pull request:
https://github.com/apache/flink/pull/1220#issuecomment-200465211
Hi Daniel, the docs are handwritten as far as I know.
On Wed, Mar 23, 2016 at 5:49 PM, Daniel Blazevski <[email protected]>
wrote:
> @chiwanpark <https://github.com/chiwanpark> about the docs, when I look
> at docs/libs/ml/smv.md for instance (or als.md, etc.), the parameters
> section seems auto-generated, is that correct? Is so, do you know how this
> was auto-generated? If not, I'll use the existing docs as a template.
>
> —
> You are receiving this because you were mentioned.
> Reply to this email directly or view it on GitHub
> <https://github.com/apache/flink/pull/1220#issuecomment-200436234>
>
> 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]
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