numba jit speed increase

[ccluri]

If we add numba as a requirement instead of skmonaco, we can then then deploy with just-in-time compiler
https://numba.pydata.org/numba-doc/dev/user/5minguide.html
Adding this line above all functions in basis_functions.py and before forward_method() and int_pot1d() / 2d() / 3d() in KCSD.py

@jit(nopython=True)

already improves the performance drastically, I am able to knock off ~7 secs from a 30 sec tests.

[ccluri]

@asiaszmek what do you think?

[asiaszmek]

I think it's a great idea. I'll start working on that once I am done with the build.

…

On Thu, Oct 25, 2018 at 03:29:26PM +0000, Chaitanya Chintaluri wrote: @asiaszmek what do you think? -- You are receiving this because you were mentioned. Reply to this email directly or view it on GitHub: #57 (comment)

[ccluri]

Hah! This was your idea though! :) 👍
I was just playing with numba instead of cython

[ccluri]

An attempt on this lives on saved_tables branch

kCSD-python/kcsd/KCSD.py

Line 15 in 7dc8bfe

from numba import jit

and in

kCSD-python/kcsd/basis_functions.py

Line 16 in 7dc8bfe

from numba import jit

Do not merge with master, before #64 is addressed.

[ccluri]

Separating the co-dependence on #64 , an the PR #69 address this.