Github user erikerlandson commented on the pull request:
https://github.com/apache/spark/pull/1964#issuecomment-52554072
It might be useful to distinguish true metrics from 'measures'. For
example, cosine distance is not a true distance metric. In some algorithms,
that difference can matter. Maybe define a DistanceMetric trait that is a
subclass of the DistanceMeasure trait, so spark functions can specify Metric if
a true metric is desired.
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