prototorch_models/examples/glvq_spiral.py

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"""GLVQ example using the spiral dataset."""
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import prototorch as pt
import pytorch_lightning as pl
import torch
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from prototorch.models.callbacks import StopOnNaN
if __name__ == "__main__":
# Dataset
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train_ds = pt.datasets.Spiral(n_samples=600, noise=0.6)
# Dataloaders
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train_loader = torch.utils.data.DataLoader(train_ds,
num_workers=0,
batch_size=256)
# Hyperparameters
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nclasses = 2
prototypes_per_class = 20
hparams = dict(
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distribution=(nclasses, prototypes_per_class),
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transfer_function="sigmoid_beta",
transfer_beta=10.0,
lr=0.01,
)
# Initialize the model
model = pt.models.GLVQ(hparams,
prototype_initializer=pt.components.SSI(train_ds,
noise=1e-1))
# Callbacks
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vis = pt.models.VisGLVQ2D(train_ds, show_last_only=True, block=True)
snan = StopOnNaN(model.proto_layer.components)
# Setup trainer
trainer = pl.Trainer(
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gpus=0,
max_epochs=200,
callbacks=[vis, snan],
)
# Training loop
trainer.fit(model, train_loader)