Remove examples/gmlvq_iris.py

examples/gmlvq_iris.py

@@ -1,46 +0,0 @@
-"""GMLVQ example using all four dimensions of the Iris dataset."""
-
-import argparse
-
-import pytorch_lightning as pl
-import torch
-from sklearn.datasets import load_iris
-
-import prototorch as pt
-
-if __name__ == "__main__":
-    # Command-line arguments
-    parser = argparse.ArgumentParser()
-    parser = pl.Trainer.add_argparse_args(parser)
-    args = parser.parse_args()
-
-    # Dataset
-    x_train, y_train = load_iris(return_X_y=True)
-    train_ds = pt.datasets.NumpyDataset(x_train, y_train)
-
-    # Dataloaders
-    train_loader = torch.utils.data.DataLoader(train_ds, batch_size=150)
-
-    # Hyperparameters
-    num_classes = 3
-    prototypes_per_class = 1
-    hparams = dict(
-        distribution=(num_classes, prototypes_per_class),
-        input_dim=x_train.shape[1],
-        latent_dim=x_train.shape[1],
-        proto_lr=0.01,
-        bb_lr=0.01,
-    )
-
-    # Initialize the model
-    model = pt.models.GMLVQ(hparams,
-                            prototype_initializer=pt.components.SMI(train_ds))
-
-    # Setup trainer
-    trainer = pl.Trainer.from_argparse_args(args, )
-
-    # Training loop
-    trainer.fit(model, train_loader)
-
-    # Display the Lambda matrix
-    model.show_lambda()