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https://issues.apache.org/jira/browse/MADLIB-1203?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Frank McQuillan updated MADLIB-1203:
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Fix Version/s: (was: v1.14)
v1.15
> k-NN Interface changes for classification and regression
> --------------------------------------------------------
>
> Key: MADLIB-1203
> URL: https://issues.apache.org/jira/browse/MADLIB-1203
> Project: Apache MADlib
> Issue Type: Improvement
> Components: k-NN
> Reporter: Nandish Jayaram
> Priority: Minor
> Fix For: v1.15
>
>
> k-NN has a single function for both classification and regression. To be
> consistent with other modules such as MLP and SVM, can we instead have two
> functions:
> knn_classification and knn_regression
> A couple of other usability changes:
> 1) The first 7 parameters for the current knn implementation deal with
> providing some details about the training table and test table. Can we
> instead have two parameters, one for training table and the other for test
> table instead of those 7 params? We could have a comma separated key-value
> pair like in the optimization params for elastic net.
> 2) The output table currently has the `id` and `point` columns among others.
> The `point` column in redundant since the `id` is a unique identifier of a
> row. We could remove the `point` column from the output table.
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