prototorch_models/examples/cbc_iris.py
2021-05-21 17:55:55 +02:00

53 lines
1.3 KiB
Python

"""CBC example using the Iris dataset."""
import argparse
import prototorch as pt
import pytorch_lightning as pl
import torch
if __name__ == "__main__":
# Command-line arguments
parser = argparse.ArgumentParser()
parser = pl.Trainer.add_argparse_args(parser)
args = parser.parse_args()
# Dataset
train_ds = pt.datasets.Iris(dims=[0, 2])
# Reproducibility
pl.utilities.seed.seed_everything(seed=3)
# Dataloaders
train_loader = torch.utils.data.DataLoader(train_ds,
num_workers=0,
batch_size=150)
# Hyperparameters
hparams = dict(
distribution=[3, 2, 2],
proto_lr=0.01,
bb_lr=0.01,
)
# Initialize the model
model = pt.models.CBC(
hparams,
prototype_initializer=pt.components.SSI(train_ds, noise=0.01),
)
# Callbacks
vis = pt.models.VisCBC2D(data=train_ds,
title="CBC Iris Example",
resolution=300,
axis_off=True)
# Setup trainer
trainer = pl.Trainer.from_argparse_args(
args,
callbacks=[vis],
)
# Training loop
trainer.fit(model, train_loader)