I’ve trained models easily with tabular.
However, when it comes to making predictions on new data… I have no clue.
The dataframe I am loading is in the exact same format as the dataframes the model trained on.
I’ve tried to follow the method in the fastai book but it’s not clear. Here is what I tried:
learn = tabular_learner(dls, metrics=rmse) learn.fit_one_cycle(3) epoch train_loss valid_loss _rmse time 0 0.793192 0.069080 0.262830 01:18 1 0.056668 0.051787 0.227568 01:18 2 0.023692 0.047442 0.217811 01:32 with open("./test_dfs/marks.pkl", 'rb') as f: test_df = pickle.load(f) learn.predict(test_df) AttributeError: 'DataFrame' object has no attribute 'to_frame'
What am I doing wrong?