Github user imatiach-msft commented on the issue:
https://github.com/apache/spark/pull/16654
Wouldn't we eventually want to add a lot more clustering metrics like Dunn,
Davies-Bouldin, Simplified Silhouette etc... there are a lot of clustering
metrics and it seems like a good idea to have separate metrics and evaluator
classes for them so that it would be easy to use/extend them. It would also be
nice to be able to sweep over the hyperparameters of the clustering algorithms
and use the evaluators as part of cross validate (or am I misunderstanding and
it is already possible with the changes in this review?).
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