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diff --git a/code/sunlab/common/scaler/adversarial_scaler.py b/code/sunlab/common/scaler/adversarial_scaler.py
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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")