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Function cost

ot/optim.py:324–325  ·  view source on GitHub ↗
(G)

Source from the content-addressed store, hash-verified

322 if reg2 is None:
323
324 def cost(G):
325 return nx.sum(M * G) + reg1 * f(G)
326 else:
327
328 def cost(G):

Callers 1

generic_conditional_gradientFunction · 0.70

Calls 3

fFunction · 0.70
sumMethod · 0.45
logMethod · 0.45

Tested by

no test coverage detected