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hey @marah othman! Thanks for using NeuralForecast. The

val_size

argument of the

cross_validation

method in neuralforecast is used by the

Auto

models to perform hyperparameter optimization. The

test_size

and

n_windows

are interchangeable and work the same as in StatsForecast and MLForecast.

so if i am doing cross validation for non AUTOModels i dont need to valdation size right ?

Yes, exactly, if you’re not using the auto models you can skip defining

val_size

🙂

okay thanks