Hi, I'm using nhits library well, but I have one simple question. I need predictions for the train and validation datasets. ————————————————— model = NHITS(futr_exog_list = cols, h = 12) nf = NeuralForecast(models = [model], freq = ‘M’) nf.fit(df = df_train, val_size = val_size) yhat_valid = nf.predict(futr_df = df_train) ————————————————— These values seem to be validation prediction values, but can i obtain the prediction values of train data?

Hi @Milim Kim, you can use the

predict_rolled

method. We are additionally working on a

predict_insample

method to make it more simple