.

script/predict.ts

@@ -52,7 +52,7 @@ def predict():
 
         with torch.no_grad():
             input_tensor = torch.from_numpy(X_scaled).float()
-            pred = model(input_tensor) * 11 + 1
+            pred = model(input_tensor) * 12 + 0.5
         print(float(pred.item()))
     except Exception as e:
         print(f"ERROR: {e}", file=sys.stderr)
@@ -89,7 +89,7 @@ function main() {
         console.error(`Error: Difficulty '${difficulty}' not found.`);
         process.exit(1);
     }
-
+    
     const score = runInference(workingDir, factorize(chart));
     console.log(`\n🎯 Predicted Difficulty: ${score.toFixed(2)}`);
 }