demo updated with map estimate

demos/two_moons.py

@@ -26,7 +26,7 @@ variables = 2
 channels = 4
 tracks = 4
 network = nn.Sequential(
-    NormalLeaf(tracks, variables, channels),
+    NormalLeaf(tracks, variables, channels, n=N, alpha0=1, beta0=1),
     Weightsum(tracks, 1, channels)
 )
 print(f"Total parameters: {sum(p.numel() for p in network.parameters() if p.requires_grad)}")