zhengruifeng aed7ff36f7 [SPARK-29258][ML][PYSPARK] parity between ml.evaluator and mllib.metrics ... ### 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 Closes #25940 from zhengruifeng/evaluator_add_param. Authored-by: zhengruifeng <ruifengz@foxmail.com> Signed-off-by: zhengruifeng <ruifengz@foxmail.com>		2019-09-27 13:30:03 +08:00
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benchmarks	[SPARK-25489][ML][TEST] Refactor UDTSerializationBenchmark	2018-09-23 13:34:06 -07:00
src	[SPARK-29258][ML][PYSPARK] parity between ml.evaluator and mllib.metrics	2019-09-27 13:30:03 +08:00
pom.xml	[SPARK-29007][MLLIB][FOLLOWUP] Remove duplicated dependency	2019-09-13 11:54:46 -07:00