When using optuna with NeuralForecast is there a key I should be using in the config dict for loss function arguments? E.g. searching weights of a loss function. Also, is there a way to use one loss for training and another for validation?

The auto models don't support tuning the loss functions. You can provide the

loss

and

valid_loss

arguments to the constructors