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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

Calls 8

sinkhornFunction · 0.90
emdFunction · 0.85
reshapeMethod · 0.45
minMethod · 0.45
onesMethod · 0.45
sumMethod · 0.45
zerosMethod · 0.45
maxMethod · 0.45

Tested by

no test coverage detected