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This question came up during a code review of some changes to the One Versus All (OVA) Trainer. The OVA Trainer takes in a calibrator. If one is not specified, the PlattCalibrator is then used. After looking at the code, it looks like the calibrator is attached to each model instance that the OVA Trainer evaluates.
The question is what happens when you are using a naturally calibrated mode like logistic regression? Can this produce unexpected results?
The text was updated successfully, but these errors were encountered:
This question came up during a code review of some changes to the One Versus All (OVA) Trainer. The OVA Trainer takes in a calibrator. If one is not specified, the PlattCalibrator is then used. After looking at the code, it looks like the calibrator is attached to each model instance that the OVA Trainer evaluates.
The question is what happens when you are using a naturally calibrated mode like logistic regression? Can this produce unexpected results?
The text was updated successfully, but these errors were encountered: