scikit-learn/iris
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import torch
import datasets
dataset = load_dataset("scikit-learn/iris")["train"].class_encode_column("Species").train_test_split(
test_size=0.3,
seed=42,
stratify_by_column="Species"
)
features = ["SepalLengthCm","SepalWidthCm","PetalLengthCm","PetalWidthCm"]
batch = dataset["test"].with_format("torch")[:]
x = torch.stack([batch[col] for col in features],dim=1)
model = torch.jit.load("iris_knn.pt")
preds = model(x)