Remove self.trained_epochs (#134)

* Expose hyperparameters/change cuda logic

* Fix set_device/update documentation

* Remove self from discriminator

* Fix optimizers

* Remove self from discriminator

* Remove "_" from variables

* Remove self.trained_epochs variable

Co-authored-by: Carles Sala <carles@pythiac.com>

ctgan/synthesizers/ctgan.py

@@ -152,7 +152,6 @@ def __init__(self, embedding_dim=128, generator_dim=(256, 256), discriminator_di
         self._log_frequency = log_frequency
         self._verbose = verbose
         self._epochs = epochs
-        self.trained_epochs = 0
         self.pac = pac
 
         if not cuda or not torch.cuda.is_available():
@@ -330,7 +329,6 @@ def fit(self, train_data, discrete_columns=tuple(), epochs=None):
 
         steps_per_epoch = max(len(train_data) // self._batch_size, 1)
         for i in range(epochs):
-            self.trained_epochs += 1
             for id_ in range(steps_per_epoch):
 
                 for n in range(self._discriminator_steps):