zhengruifeng created SPARK-31032:
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Summary: GMM compute summary and update distributions in one pass
Key: SPARK-31032
URL: https://issues.apache.org/jira/browse/SPARK-31032
Project: Spark
Issue Type: Improvement
Components: ML
Affects Versions: 3.1.0
Reporter: zhengruifeng
In current impl, GMM need to trigger two jobs at one iteration:
1, one to compute summary;
{color:#172b4d}2, if
{{{color}{color:#c7a65d}{color:#172b4d}shouldDistributeGaussians}}
{color}{color}((k - {color:#4dacf0}1.0{color}) / k) * numFeatures >
{color:#4dacf0}25.0,{color}
{color:#c7a65d}{color:#172b4d}trigger another to update distributions;{color}
{color}
{color:#c7a65d}{color:#172b4d}shouldDistributeGaussians is almost true in
practice, since numFeatures is likely to be greater than 25.{color}{color}
{color:#c7a65d}{color:#172b4d}We can use only one job to impl above
computation,{color}{color}
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