I am using the captum setup
https://captum.ai/api/concept.html
https://captum.ai/tutorials/TCAV_Image

In the Default Classifier the linear classification boils down to the function sgd_train_linear_model(). When I debug the code until sklearn_model.fit(x, y, sample_weight=w, **fit_kwargs) at line 327 the variabe “w” is empty.

But then at line 338:

# Convert weights to pytorch
    classes = (
        torch.IntTensor(sklearn_model.classes_)
        if hasattr(sklearn_model, "classes_")
        else None
    )

It can suddendly derrive the weights from the model. How so? Help me understand.

Debug and read the docs.