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I understand that when we are running the tgan.fit using jupyter, we can save the model by using the code after fitting:
model_path = 'models/mymodel.pkl'
tgan.save(model_path)
Model saved successfully.
However, if I run the experiment in the terminal/command line, how do I save the models for every random hyperparameter search? The purpose is to load the model so that I can regenerate new synthetic data I needed.
Thanks!
The text was updated successfully, but these errors were encountered:
Hi,
I understand that when we are running the tgan.fit using jupyter, we can save the model by using the code after fitting:
However, if I run the experiment in the terminal/command line, how do I save the models for every random hyperparameter search? The purpose is to load the model so that I can regenerate new synthetic data I needed.
Thanks!
The text was updated successfully, but these errors were encountered: