Tabular: validation set percentage

[muellerzr (Zachary Mueller)]

No absolutely! The test set is extremely important. Give me a moment and I’ll give some code on how to do the evaluation. Essentially we label the test Tabular list and we turn the valid_dl into that one.

See my post here:

How to add test data into ImageDataBunch.from_df and make predictions?

Hello all I am very confuse with how data structure works in fast.ai I am trying to predict the test data after training the model This shows no error at all (default) data = ImageDataBunch.from_df(path=‘data/’, df=df_trn, ds_tfms=tfms, size=224, bs=bs).normalize(imagenet_stats) When I try to pass a test dataset into (test=df_tst), I got an error data = ImageDataBunch.from_df(path=‘data/’, df=df_trn, ds_tfms=tfms, size=224, bs=bs, test=df_tst).normalize(imagenet_stats) TypeError: e…