Github user ZunwenYou commented on the issue:
https://github.com/apache/spark/pull/17000
Hi, @MLnick
Firstly, `sliceAggregate `is a common aggregate for array-like data.
Besides `MultivariateOnlineSummarizer ` case, it can be used in many large
machine learning cases. I chose `MultivariateOnlineSummarizer `to do our
experiment, just because it is really a bottleneck of `LogisticRegression `in
ml package.
[This](https://issues.apache.org/jira/browse/SPARK-19634) is a good
improvement for `MultivariateOnlineSummarizer`, but I do not think it's a good
idea to compare these two improvement. In my opinion, it is reasonable to
compare `sliceAggregate `to `treeAggregate`.
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