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class AdversarialScaler:
"""# Scaler Class to use in Adversarial Autoencoder
For any scaler to be implemented, make sure to ensure each of the methods
are implemented:
- __init__ (optional)
- init
- load
- save
- __call__"""
def __init__(self, base_directory):
"""# Scaler initialization
- Initialize the base directory of the model where it will live"""
self.base_directory = base_directory
def init(self, data):
"""# Scaler initialization
Initialize the scaler transformation with the data
Should always return self in subclasses"""
raise NotImplementedError("Scaler initialization has not been implemented yet")
def load(self):
"""# Scaler loading
Load the data scaler model from a file
Should always return self in subclasses"""
raise NotImplementedError("Scaler loading has not been implemented yet")
def save(self):
"""# Scaler saving
Save the data scaler model"""
raise NotImplementedError("Scaler saving has not been implemented yet")
def transform(self, *args, **kwargs):
"""# Scale the given data"""
return self.__call__(*args, **kwargs)
def __call__(self, *args, **kwargs):
"""# Scale the given data"""
raise NotImplementedError("Scaler has not been implemented yet")
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