prototorch_models/examples/cbc_iris.py
2021-05-07 15:46:09 +02:00

48 lines
1.2 KiB
Python

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