The test.m in your respository gives a exp operation to K_field, and in the dataset you give a np.log to conteract exp, does this have specific reason? I did not notice this and have generated some labels use the exp K_field...
No, there is no specific reason for choosing an exponential kernel for generating the random field. You could any other kernel. Also, the pre-processing operations in the dataset.py are problem specific.
The test.m in your respository gives a
exp
operation toK_field
, and in the dataset you give a np.log to conteract exp, does this have specific reason? I did not notice this and have generated some labels use the exp K_field...