prototorch_models/examples/glvq_iris.py
2021-05-07 15:25:04 +02:00

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Python

"""GLVQ 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)
# Dataloaders
train_loader = torch.utils.data.DataLoader(train_ds,
num_workers=0,
batch_size=150)
# Hyperparameters
hparams = dict(
nclasses=3,
prototypes_per_class=2,
prototype_initializer=pt.components.SMI(train_ds),
lr=0.01,
)
# Initialize the model
model = pt.models.GLVQ(hparams)
# Callbacks
vis = pt.models.VisGLVQ2D(data=(x_train, y_train))
# Setup trainer
trainer = pl.Trainer(
max_epochs=50,
callbacks=[vis],
)
# Training loop
trainer.fit(model, train_loader)