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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