Update data_generation.py

data_generation.py

@@ -10,9 +10,9 @@ def generate_synthetic_training_data(n=30_000):
     Returns:
         pd.DataFrame: The generated synthetic training data.
     """
-    good_generator = CTGANSynthesizer.load("../models/v4/synth_good.pkl")
-    poor_generator = CTGANSynthesizer.load("../models/v4/synth_poor.pkl")
-    standard_generator = CTGANSynthesizer.load("../models/v4/synth_standard.pkl")
+    good_generator = CTGANSynthesizer.load("models/v4/synth_good.pkl")
+    poor_generator = CTGANSynthesizer.load("models/v4/synth_poor.pkl")
+    standard_generator = CTGANSynthesizer.load("models/v4/synth_standard.pkl")
 
     synth_good = good_generator.sample(n)
     synth_poor = poor_generator.sample(n)