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Creating the model as a PyTorch module.
Adding the new model to the dict by importing and mapping it to class.
Adding an example model JSON config file in the tests directory.
Adding a unit test
Adding an end-to-end integration test
Complicating factors involve:
Models that take parameters other than X and metadata in
forward_params.Models that return a tensor not in the shape (batch_size, seqforecast_lenlength, n_resultstargets)
Please plan with Isaac Godfried before undertaking these more complicated models.
Adding Loss Functions/Optimizers
Loss functions generally follow the same procedure as new models.
Create the loss function
Add the loss function