Github user imatiach-msft commented on the issue:
https://github.com/apache/spark/pull/16654
Also, if some metrics are only applicable to some models, as srowen noted,
we can either make separate evaluator classes or put all metrics on one but
throw if the model does not support that metric. Either solution would work
and would be much better than putting the metrics calculation on the clustering
model itself.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
