diff --git a/examples/lgmlvq_moons.py b/examples/lgmlvq_moons.py
index 5c053ad..cbdc9b4 100644
--- a/examples/lgmlvq_moons.py
+++ b/examples/lgmlvq_moons.py
@@ -12,12 +12,12 @@ if __name__ == "__main__":
     parser = pl.Trainer.add_argparse_args(parser)
     args = parser.parse_args()
 
-    # Dataset
-    train_ds = pt.datasets.Moons(num_samples=300, noise=0.2, seed=42)
-
     # Reproducibility
     pl.utilities.seed.seed_everything(seed=2)
 
+    # Dataset
+    train_ds = pt.datasets.Moons(num_samples=300, noise=0.2, seed=42)
+
     # Dataloaders
     train_loader = torch.utils.data.DataLoader(train_ds,
                                                batch_size=256,
@@ -31,8 +31,10 @@ if __name__ == "__main__":
     )
 
     # Initialize the model
-    model = pt.models.LGMLVQ(hparams,
-                             prototype_initializer=pt.components.SMI(train_ds))
+    model = pt.models.LGMLVQ(
+        hparams,
+        prototypes_initializer=pt.initializers.SMCI(train_ds),
+    )
 
     # Compute intermediate input and output sizes
     model.example_input_array = torch.zeros(4, 2)