I am just getting started with FastAI. At the moment I am working on a small side project where I am planning to use Azure ML to deploy a CV model that can classify various fruits and vegetables from images. I created a model and trained it and all worked perfectly. I am now wondering how I can get certain metrics as plain numbers from my validation set (e.g. accuracy, auc/roc, F1 score etc.) for logging in Azure. My assumption was that these numbers can either be extracted from the “ClassificationInterpretation.from_learner(learn)” or from the learner itself. However, I could not manage how to get these general metrics. Is there some in-built functionality I missed? Do I need to calculate those metrics myself?
I spent all my morning searching for this in various places but could not find anything helpful. I would really appreciate some hints!
Thanks a lot in advance