Inconsistent result between ClassificationInterpretation.top_losses() and DatasetFormatter().from_toplosses()

[starky (Staky Y)]

Just see this post that helps understand what is Fix and how should we use from_toplosses():

Duplicate Widget

The Fix DatasetType is the train dataset without shuffling. Since we built the databunch using no_split, the train dataset contains all the images in the dataset. By specifying .Fix we get the whole dataset without shuffling, which is what we want. If you can write a PR that removes the need to create a new databunch for the widget, that would be great!