def __init__(self, log_path, model_path):
"""
The PredictionEngine wraps the pair of generators/discriminators for both
layers and configures the batch window
Parameters:
- window :: The batch window
- log_path :: The directory path to which the logs will be saved
model_path :: The directory path to which the models will be saved
"""
self.window_size = False
self.default_model_save_path = "/home/dan/vestra/models/"
self.log_path = log_path
self.log_file = log_file
self.db = DBObject()
self.logger = ModelLogger(self.log_path, self.log_file)
# check for cuda
self.cuda = torch.cuda.is_available()
self.learning_rate = 0.0002
