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@ -100,7 +100,6 @@ class Fitter:
def optimize(self, init_parameters=None): def optimize(self, init_parameters=None):
t0 = time.time() t0 = time.time()
self.iteration = 0 self.iteration = 0
if init_parameters is None: if init_parameters is None:
m = self.model() m = self.model()
K_pc_half = m.K_pc_half K_pc_half = m.K_pc_half
@ -119,15 +118,7 @@ class Fitter:
(10, 100, 100, 100, 10, 10), (10, 100, 100, 100, 10, 10),
) )
res = least_squares( res = least_squares(self.cost_func, init_parameters, bounds=bounds, xtol=1e-10)
self.cost_func,
init_parameters,
bounds=bounds,
xtol=1e-10,
ftol=1e-12,
verbose=2,
)
print() print()
print(" Parameters: [gGaL, ECal, K_pc_half, tau_xfer, tau_RC, offset]") print(" Parameters: [gGaL, ECal, K_pc_half, tau_xfer, tau_RC, offset]")
print(" Initial:", init_parameters.tolist()) print(" Initial:", init_parameters.tolist())