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I am using TGAN to synthesize new data based on an exclusive dataset. I want to tune the TGAN model using a Bayesian approach by means of "hyperopt" library. For this purpose, I need run the TGAN model while the hyperparameters are passed as a dictionary such as below:
where params is a dictionary including some hyperparameters:
params = {'learning_rate': 0.002,
'z_dim': 50}
Is there anyway I can pass the hyperparameters using such a dictionary as an argument in the TGANModel function? Should I use JSON file for this purpose? If yes, could you please help me how?
The text was updated successfully, but these errors were encountered:
I am using TGAN to synthesize new data based on an exclusive dataset. I want to tune the TGAN model using a Bayesian approach by means of "hyperopt" library. For this purpose, I need run the TGAN model while the hyperparameters are passed as a dictionary such as below:
tgan = TGANModel(continuous_columns, params, max_epoch=4, steps_per_epoch= 100, batch_size=16, restore_session=False)
where params is a dictionary including some hyperparameters:
params = {'learning_rate': 0.002,
'z_dim': 50}
Is there anyway I can pass the hyperparameters using such a dictionary as an argument in the TGANModel function? Should I use JSON file for this purpose? If yes, could you please help me how?
The text was updated successfully, but these errors were encountered: