Hi All, I am looking for ways to calibrate the output of a pyspark ML model. Could anyone share if there are any implementations around of the same available in spark/pyspark?
Here is the implementation available in sklearn: https://scikit-learn.org/stable/modules/generated/sklearn.calibration.CalibratedClassifierCV.html Please feel to share your experience/ideas around the calibration methods with spark. Regards, Praneeth -- Sent from: http://apache-spark-user-list.1001560.n3.nabble.com/ --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
