I tired to implement temperature scaling as a post-processing step on my fastai classifier, but ran into some problems.
In case you are interrested in temperature scaling I can suggest another post from this forum that has a great introduction about it:
Unfortunately the above post was never solved and I had the same error messages as the author. My code:
from temperature_scaling import ModelWithTemperature # Load data data = ImageDataBunch.from_folder(path,valid_pct=.2) orig_model = load_learner('../model1.pth') valid_loader = data.valid_dl.dl scaled_model = ModelWithTemperature(orig_model) scaled_model.set_temperature(valid_loader)
And I get the error
Traceback (most recent call last): File "temperatureScaling.py", line 47, in <module> scaled_model.set_temperature(valid_loader) File "../temperature_scaling.py", line 48, in set_temperature logits = self.model(input) TypeError: 'Learner' object is not callable
As suggested in the linked forum article I tried setting valid_pct=.2 but that did not solve the problem. It has to do with orig\_model not being callable. Is there a workaround for this?
Thank you for reading!