I have used CPA to train a classifier with a training set. However, I am having difficulties doing a validation on a unseen test set.
I have tried 3 methods to load a previously trained model, unfortunately, none have worked:
- Loading a saved model → Error loading model
- Copying and pasting rules into CPA → unable to paste
- Advanced > Edit rules → “unable to parse…”
Unfortunately, without being able to paste rules from a previously trained classifier, it cannot be validated against an unseen data set. It would be useful to be able to do so in CPA so the number of rules can be quickly edited, whole images classified instantly and confusion matrices obtained easily. It would be impossible to do some of these with the Filter module in cellprofiler.
It seems the only way to re-obtain a trained model is to open the training set in CPA and hit train classifier. But this is not possible when trying to validate the model on an unseen data set.
If anyone knows a solution, any advice would be much appreciated! Thanks!