Frank McQuillan updated MADLIB-1203:
    Fix Version/s:     (was: 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
> 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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