zhengruifeng created SPARK-29967:
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Summary: KMeans support instance weighting
Key: SPARK-29967
URL: https://issues.apache.org/jira/browse/SPARK-29967
Project: Spark
Issue Type: Improvement
Components: ML, PySpark
Affects Versions: 3.0.0
Reporter: zhengruifeng
Since https://issues.apache.org/jira/browse/SPARK-9610, we start to support
instance weighting in ML.
However, Clustering and other impl in features still do not support instance
weighting.
I think we need to start support weighting in KMeans, like what scikit-learn
does.
It will contains three parts:
1, move the impl from .mllib to .ml
2, make .mllib.KMeans as a wrapper of .ml.KMeans
3, support instance weighting in the .ml.KMeans
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