feat: distribute GMLVQ into mixins

examples/y_architecture_example.py

@@ -2,12 +2,12 @@ import prototorch as pt
 import pytorch_lightning as pl
 import torchmetrics
 from prototorch.core import SMCI
-from prototorch.models.y_arch.callbacks import (
+from prototorch.y_arch.callbacks import (
     LogTorchmetricCallback,
     PlotLambdaMatrixToTensorboard,
     VisGMLVQ2D,
 )
-from prototorch.models.y_arch.library.gmlvq import GMLVQ
+from prototorch.y_arch.library.gmlvq import GMLVQ
 from pytorch_lightning.callbacks import EarlyStopping
 from torch.utils.data import DataLoader
 
@@ -39,8 +39,7 @@ if __name__ == "__main__":
 
     # Define Hyperparameters
     hyperparameters = GMLVQ.HyperParameters(
-        lr=0.1,
-        backbone_lr=5,
+        lr=dict(components_layer=0.1, _omega=0),
         input_dim=4,
         distribution=dict(
             num_classes=3,