Make kNN more resilient to nominal data #1566
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Fixes #1565 by using a different formula for the difference when the data is not numeric.
This allows the distance not to error out when non-numbers are given, while keeping a reasonable behaviour.
Caveat
Because of the added code paths that are difficult to optimise away, kNN is roughly twice as slow to make a prediction.