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inspiration
https://github.com/cs230-stanford/cs230-code-examples/tree/master/pytorch
Can simply save/load NeuralProphet.model
https://pytorch.org/tutorials/beginner/saving_loading_models.html
Issue:
must also store hyperparameter settings and any settings for events, regressors, etc.
may need a change in how configurations are stored/initialized
How:
We should implement this using torch.save() and torch.load()
with the recommended way of storing pytorch models
https://stackoverflow.com/questions/42703500/best-way-to-save-a-trained-model-in-pytorch
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