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https://issues.apache.org/jira/browse/MADLIB-927?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15783820#comment-15783820
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ASF GitHub Bot commented on MADLIB-927:
---------------------------------------
Github user auonhaidar commented on a diff in the pull request:
https://github.com/apache/incubator-madlib/pull/81#discussion_r94083157
--- Diff: src/ports/postgres/modules/knn/test/knn.sql_in ---
@@ -0,0 +1,41 @@
+m4_include(`SQLCommon.m4')
+/*
-----------------------------------------------------------------------------
+ * Test knn.
+ *
+ * FIXME: Verify results
--- End diff --
I got the license, thanks!
For assertions, I was trying doing that yesterday. It was not working.
For example, I tried doing
SELECT assert(3 = 3, 'Wrong output in pivoting');
in postgres prompt
and it says ''HINT: No function matches the given name and argument types.
You might need to add explicit type casts."
Can you tell what is happening here. I am using postgres 9.4.
> Initial implementation of k-NN
> ------------------------------
>
> Key: MADLIB-927
> URL: https://issues.apache.org/jira/browse/MADLIB-927
> Project: Apache MADlib
> Issue Type: New Feature
> Reporter: Rahul Iyer
> Labels: gsoc2016, starter
>
> k-Nearest Neighbors is a simple algorithm based on finding nearest neighbors
> of data points in a metric feature space according to a specified distance
> function. It is considered one of the canonical algorithms of data science.
> It is a nonparametric method, which makes it applicable to a lot of
> real-world problems where the data doesn’t satisfy particular distribution
> assumptions. It can also be implemented as a lazy algorithm, which means
> there is no training phase where information in the data is condensed into
> coefficients, but there is a costly testing phase where all data (or some
> subset) is used to make predictions.
> This JIRA involves implementing the naïve approach - i.e. compute the k
> nearest neighbors by going through all points.
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