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https://issues.apache.org/jira/browse/FLINK-1745?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14957094#comment-14957094
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ASF GitHub Bot commented on FLINK-1745:
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Github user danielblazevski commented on the pull request:
https://github.com/apache/flink/pull/1220#issuecomment-148088594
Thanks @tillrohrmann, I changed my code using the .asBreeze and
.fromBreeze. I think I am now having trouble linking to the Breeze library.
When I now try to construct the QuadTree, I get the error (by printing "hello"
to the console, I checked and KNN.scala runs up until the calling of the
QuadTree constructor, which now has an import statement `import Breeze._` and
KNN.scala does not have that import statment ):
Oct 14, 2015 11:26:51 AM com.github.fommil.netlib.BLAS <clinit>
WARNING: Failed to load implementation from:
com.github.fommil.netlib.NativeSystemBLAS
Oct 14, 2015 11:26:51 AM com.github.fommil.netlib.BLAS <clinit>
WARNING: Failed to load implementation from:
com.github.fommil.netlib.NativeRefBLAS
Is there a recommended to link and grab/install Breeze within Flink
automatically, or does the user have to have it separately installed?
I made a new commit.
> 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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