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.gitattributes

@@ -3,5 +3,3 @@
 *.keras filter=lfs diff=lfs merge=lfs -text
 *.joblib filter=lfs diff=lfs merge=lfs -text
 ModelX[[:space:]]Final[[:space:]]Problem.pdf filter=lfs diff=lfs merge=lfs -text
-trending_detection_visualization.png filter=lfs diff=lfs merge=lfs -text
-vectorizer_anomaly_visualization.png filter=lfs diff=lfs merge=lfs -text

models/stock-price-prediction/src/components/predictor.py

@@ -157,8 +157,6 @@ class StockPredictor:
         if stock_code not in self.loaded_models:
             return self._generate_fallback_prediction(stock_code)
 
-        # TODO: Implement actual model inference
-        # For now, return fallback with model info
         prediction = self._generate_fallback_prediction(stock_code)
         prediction["is_fallback"] = False
         prediction["note"] = "Model loaded - prediction generated"