[KongchangAI]
ConceptTemperature Scaling

Temperature Scaling

A post-hoc probability calibration method that adjusts confidence by dividing the logits output by the model by a learnable scalar temperature parameter T. It has few parameters and does not change the ranking, but it relies on the validation set being drawn from the same distribution as deployment.

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Oct 22

Temperature calibration assumes the validation set and deployment distribution come from the same source; once temporal drift occurs, the calibrated T becomes invalid.

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