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.htmlPlease feel to share your experience/ideas around the calibration methods
with spark.
Regards,
Praneeth
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