zhengruifeng opened a new pull request #25940: [SPARK-29258][ML][PYSPARK] parity between ml.evaluator and mllib.metrics URL: https://github.com/apache/spark/pull/25940 ### What changes were proposed in this pull request? 1, expose `BinaryClassificationMetrics.numBins` in `BinaryClassificationEvaluator` 2, expose `RegressionMetrics.throughOrigin` in `RegressionEvaluator` 3, add metric `explainedVariance` in `RegressionEvaluator` ### Why are the changes needed? existing function in mllib.metrics should also be exposed in ml ### Does this PR introduce any user-facing change? yes, this PR add two expert params and one metric option ### How was this patch tested? existing and added tests
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