- Implement jacobians for the six functions in
kernel_transformations.py - Test them againts jacobians calculated with jax. Check the autodiff cookbook to see how to take jacobians of functions. Jax differentiable versions of the functions are already implemented in
kernel_transformations_jax.py. Draw many (at least 50) random inputs with different sizes to be sure that the functions do what they should.