Code
Hub
Workspaces
Following
Trending
Connect
MCP
copy
Create free account
hub
/
github.com/PythonOT/POT
/ lp_solver
Function
lp_solver
ot/optim.py:517–518 ·
view source on GitHub ↗
(a, b, M, **kwargs)
Source
from the content-addressed store, hash-verified
515
return
line_search_armijo(cost, G, deltaG, Mi, cost_G, nx=nx, **kwargs)
516
517
def
lp_solver(a, b, M, **kwargs):
518
return
emd(a, b, M, numItermaxEmd, log=True)
519
520
return
generic_conditional_gradient(
521
a,
Callers
1
generic_conditional_gradient
Function · 0.85
Calls
8
sinkhorn
Function · 0.90
emd
Function · 0.85
reshape
Method · 0.45
min
Method · 0.45
ones
Method · 0.45
sum
Method · 0.45
zeros
Method · 0.45
max
Method · 0.45
Tested by
no test coverage detected