Closed SujayC66 closed 2 months ago
Do you have a piece of (standalone) code so that I can understand what you are trying to achieve?
You don't need to supply a test data set. You can just call predict to forecast future values, as is explained in the Quick Start guide
Thanks. I was confused since the code in tutorial shown in repo was giving predictions. fcst = NeuralForecast(models=[model], freq='M') fcst.fit(df=Y_train_df, static_df=AirPassengersStatic, val_size=12) forecasts = fcst.predict(futr_df=Y_test_df) Thank you so much.
Description
Currently .predict gives only prediction on test data. How can we forecast values for future dates?
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