In the following skimage.segmentation.random_walker algorithm:

What is the range of 'beta' values that can be supplied?

I am working with a single band 8bit unsigned image.

Is it 0 to 255?

skimage.segmentation.random_walker(data, labels, beta=130, mode='bf', tol=0.001, copy=True,multichannel=False, return_full_prob=False, spacing=None)

beta : float [Penalization coefficient for the random walker motion (the greater beta, the more difficult the diffusion)]

Thanks for your support.