fitter.py

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