[FEAT] Add option to modify the default configure_optimizers() behavior

[JQGoh]

Rationale

• Users have asked about whether we can modify the default learning rate scheduler behaviors. See How to Use Different Optimizers with NeuralForecast Models #852 (comment) and https://nixtlacommunity.slack.com/archives/C031M8RLC66/p1713516602654109
• Instead of adding arguments to all the models, passing from NeuralForecast class, we introduce a set_configure_optimizers function for the BaseModel class such that individual model can overwrite the default configure_optimizers() behavior

This shall deprecate the earlier work introduced in: #998

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[jmoralez]

Hey @JQGoh, thanks a lot for trying this approach! Although I think it's fine to add more arguments for now, we can give this a shot when we work towards v2.0.

[JQGoh]

Hey @JQGoh, thanks a lot for trying this approach! Although I think it's fine to add more arguments for now, we can give this a shot when we work towards v2.0.

In that case, I shall put this on hold then.