Github user sethah commented on the issue: https://github.com/apache/spark/pull/17556 I don't mind the weighted midpoints. However, if for a continuous feature we find that many points have the exact same value, we are assuming we may find data points in the test set that are close to but not these same values. But since our train data was clustered at these particular values, perhaps it's not a good assumption. I could live with either method, but maybe a slight preference to match the other libraries.
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