Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/16171
@srowen No, I think this maybe the third of five PR. Distinct from the
first two PRs which only deal with the overlook, the PR modify the hierarchy of
classification `Model`s in the python side. With regard to clustering and
features, I suggest that we first change the hierarchy in the scala side: add
some abstract classes like `ClusteringModel`, `ProbabilisticClusteringModel`,
`FeatureModel`. And then modify pyspark to keep it in line with it. Otherwise
we need to manually add setXXXCol methods one by one, like what we do now. I
think the modifications in clustering and features are big enough to derserve a
single JIRA.
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