prototorch_models/examples/glvq_iris.py
2021-05-15 12:43:00 +02:00

44 lines
1.1 KiB
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
nclasses = 3
prototypes_per_class = 2
hparams = dict(
distribution=(nclasses, prototypes_per_class),
lr=0.01,
)
# Initialize the model
model = pt.models.GLVQ(hparams,
optimizer=torch.optim.Adam,
prototype_initializer=pt.components.SMI(train_ds))
# Callbacks
vis = pt.models.VisGLVQ2D(data=(x_train, y_train), block=False)
# Setup trainer
trainer = pl.Trainer(
gpus=0,
max_epochs=50,
callbacks=[vis],
)
# Training loop
trainer.fit(model, train_loader)