Update examples/glvq_iris.py to use the recently modified API

examples/glvq_iris.py

@@ -1,4 +1,4 @@
-"""ProtoTorch GLVQ example using 2D Iris data"""
+"""ProtoTorch GLVQ example using 2D Iris data."""
 
 import numpy as np
 import torch
@@ -8,7 +8,7 @@ from sklearn.preprocessing import StandardScaler
 
 from prototorch.functions.distances import euclidean_distance
 from prototorch.modules.losses import GLVQLoss
-from prototorch.modules.prototypes import AddPrototypes1D
+from prototorch.modules.prototypes import Prototypes1D
 
 # Prepare and preprocess the data
 scaler = StandardScaler()
@@ -22,10 +22,10 @@ x_train = scaler.transform(x_train)
 class Model(torch.nn.Module):
     def __init__(self, **kwargs):
         super().__init__()
-        self.p1 = AddPrototypes1D(input_dim=2,
-                                  prototypes_per_class=1,
-                                  nclasses=3,
-                                  prototype_initializer='zeros')
+        self.p1 = Prototypes1D(input_dim=2,
+                               prototypes_per_class=1,
+                               nclasses=3,
+                               prototype_initializer='zeros')
 
     def forward(self, x):
         protos = self.p1.prototypes