Nandish Jayaram created MADLIB-1203:

             Summary: k-NN Interface changes for classification and regression
                 Key: MADLIB-1203
             Project: Apache MADlib
          Issue Type: Improvement
          Components: k-NN
            Reporter: Nandish Jayaram
             Fix For: v1.14

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 

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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