Update StatisticalBaseModel.py

StatisticalBaseModel.py

@@ -104,6 +104,7 @@ class StatisticalBaseModel:
             return 1.15  # 15% above listing
         elif market == 'Chicago':
             return 1.12  # 12% above listing
+        return 1.0
 
     def run_inference(self, input_data: ProcessedSynapse) -> Tuple[float, str]:
         """
@@ -111,12 +112,8 @@ class StatisticalBaseModel:
         :param input_data: a formatted Synapse from the validator, representing a currently listed house
         :return: the predicted sale price and predicted sale date for this home
         """
-        print("Running inference")
-        print('input data', input_data)
         listing_price = float(input_data['price']) if 'price' in input_data else 1.0
         sale_multiplier = self._get_price_multiplier(input_data['market']) if 'market' in input_data else 1.0
-        print(f"Listing Price: {listing_price}")
-        print(f"Sale Multiplier: {sale_multiplier}")
         predicted_sale_price = listing_price * sale_multiplier
         predicted_sale_date = self._sale_date_predictor(input_data)
         predicted_sale_date = predicted_sale_date.strftime("%Y-%m-%d")