zhengruifeng created SPARK-29118:
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Summary: Avoid redundant computation in GMM.transform
Key: SPARK-29118
URL: https://issues.apache.org/jira/browse/SPARK-29118
Project: Spark
Issue Type: Improvement
Components: ML
Affects Versions: 3.0.0
Reporter: zhengruifeng
In SPARK-27944, the computation for output columns with empty name is skipped.
Now, I find that we can furthermore optimize GMM.transform by directly
obtaining the prediction(double) from its probabilty prediction(vector), like
what ProbabilisticClassificationModel and ClassificationModel do.
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