zhengruifeng created SPARK-27847:
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Summary: One-Pass MultilabelMetrics & MulticlassMetrics
Key: SPARK-27847
URL: https://issues.apache.org/jira/browse/SPARK-27847
Project: Spark
Issue Type: Improvement
Components: ML
Affects Versions: 3.0.0
Reporter: zhengruifeng
In MultilabelMetrics, one sperate pass is needed to compute:
{color:#93a6f5}numDocs/numLabels/{color}{color:#93a6f5}subsetAccuracy/accuracy/hammingLoss/precision/recall/f1Measure/{color}{color:#93a6f5}tpPerClass/fpPerClass/fpPerClass/fnPerClass{color}
And In MulticlassMetrics, one sperate pass is needed to compute:
{color:#93a6f5}labelCountByClass{color}{color:#93a6f5}/tpByClass/{color}{color:#93a6f5}fpByClass/confusions{color}
however, all above intermeidate metrics can be computed at once.
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