prototorch_models/examples/cbc_iris.py

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"""CBC example using the Iris dataset."""
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import prototorch as pt
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import pytorch_lightning as pl
import torch
if __name__ == "__main__":
# Dataset
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from sklearn.datasets import load_iris
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x_train, y_train = load_iris(return_X_y=True)
x_train = x_train[:, [0, 2]]
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train_ds = pt.datasets.NumpyDataset(x_train, y_train)
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# Reproducibility
pl.utilities.seed.seed_everything(seed=2)
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# Dataloaders
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train_loader = torch.utils.data.DataLoader(train_ds,
num_workers=0,
batch_size=150)
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# Hyperparameters
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hparams = dict(
input_dim=x_train.shape[1],
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nclasses=3,
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num_components=5,
component_initializer=pt.components.SSI(train_ds, noise=0.01),
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lr=0.01,
)
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# Initialize the model
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model = pt.models.CBC(hparams)
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# Callbacks
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dvis = pt.models.VisCBC2D(data=(x_train, y_train),
title="CBC Iris Example")
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# Setup trainer
trainer = pl.Trainer(
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max_epochs=200,
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callbacks=[
dvis,
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],
)
# Training loop
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trainer.fit(model, train_loader)