Hi,
I am looking for calibrating the output of a pyspark model.
I looked for possible implementations in Spark but didn't find any.
Sklearn has CalibratedClassifierCV
https://scikit-learn.org/stable/modules/generated/sklearn.calibration.CalibratedClassifierCV.html
Could anyone point if there
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:
Hi All,
I am using spark streaming with kafka, I am working on an application which
requires me to process data based on user requests. I have created 2
dstream i.e. one per topic but I am unable to stop processing of data on
user request or re-enable processing of data.
I have asked question on
