add option to pass in absolute tolerance

modules/deeplearning/quantile_regression.py

@@ -22,7 +22,7 @@ def true_func(x):
     # Y = 2 + 1.5 * X + epsilon  # Linear relationship with variance increasing
     # Y = 1 + np.exp(X / 4) + epsilon
     # Y = 1 + np.exp(X / 4) + np.sin((2*np.pi/5)*X)
-    return 1 + np.exp(x / 4) + 3*np.sin((2*np.pi/5)*x)
+    return 1 + np.exp(x / 3) + 4*np.sin((2*np.pi/5)*x) + (0.5 + x/5)*np.cos((2*np.pi/2)*x)
 
 # Generate synthetic dataset
 def make_data(num_points=1000):
@@ -85,7 +85,7 @@ def run(num_points=1000, num_plot_pts=200):
 
     # Plot the results
     plt.figure(figsize=(8, 6))
-    plt.scatter(X_test[::4, 0], Y_test[::4, 0], alpha=0.3, label="Test Data")
+    # plt.scatter(X_test[::4, 0], Y_test[::4, 0], alpha=0.3, label="Test Data")
     plt.plot(X_range, predictions[0.05], label="Quantile 0.05", color='red')
     plt.plot(X_range, predictions[0.5], label="Quantile 0.5 (Median)", color='green')
     plt.plot(X_range, predictions[0.95], label="Quantile 0.95", color='blue')