Hello, I trained a tabular_learner and would like to visualise my validation results with a confusion matrix.
I tried accessing the data with learn.show_results but that’s not all my results + its a NoneType.
I then tried calling
preds,y,losses = learn.get_preds(with_loss=True)
interp = ClassificationInterpretation(learn, preds, y, losses)
interp.plot_confusion_matrix()
But getting error
TypeError: init() missing 2 required positional arguments: ‘decoded’ and ‘losses’