INFO:root:Namespace(input_file='data/bimodal.npy', output_dir='outputs/169', architecture='combined', number_of_states=2, log_f='trainig_log', no_mean=0, threads=1, fit='d', training_opt=[10, 1000, 100], opt_options=[1e-06, 1e-06, 15000.0, 10.0])
INFO:root:Best Optimization Result for iteration 0 :   message: CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH
  success: True
   status: 0
      fun: 4.317225677880987
        x: [-3.299e+00 -1.500e+01]
      nit: 19
      jac: [-1.289e-04  8.438e-06]
     nfev: 60
     njev: 20
 hess_inv: <2x2 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 1 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 4.317225669294233
        x: [-3.299e+00 -1.500e+01]
      nit: 17
      jac: [ 4.441e-07  8.438e-06]
     nfev: 57
     njev: 19
 hess_inv: <2x2 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 2 :   message: CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH
  success: True
   status: 0
      fun: 4.317225669318327
        x: [-3.299e+00 -1.500e+01]
      nit: 19
      jac: [ 7.105e-06  8.349e-06]
     nfev: 63
     njev: 21
 hess_inv: <2x2 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 3 :   message: CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH
  success: True
   status: 0
      fun: 4.317225669852896
        x: [-3.299e+00 -1.500e+01]
      nit: 17
      jac: [ 3.260e-05  8.349e-06]
     nfev: 54
     njev: 18
 hess_inv: <2x2 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 4 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 4.317225669294299
        x: [-3.299e+00 -1.500e+01]
      nit: 18
      jac: [ 2.665e-07  8.438e-06]
     nfev: 60
     njev: 20
 hess_inv: <2x2 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 5 :   message: CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH
  success: True
   status: 0
      fun: 4.317225669300087
        x: [-3.299e+00 -1.500e+01]
      nit: 18
      jac: [-3.197e-06  8.349e-06]
     nfev: 60
     njev: 20
 hess_inv: <2x2 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 6 :   message: CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH
  success: True
   status: 0
      fun: 4.317225704268119
        x: [-3.299e+00 -1.500e+01]
      nit: 17
      jac: [-2.597e-04  8.438e-06]
     nfev: 54
     njev: 18
 hess_inv: <2x2 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 7 :   message: CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH
  success: True
   status: 0
      fun: 4.317226013066709
        x: [-3.300e+00 -1.500e+01]
      nit: 17
      jac: [-8.141e-04  8.349e-06]
     nfev: 54
     njev: 18
 hess_inv: <2x2 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 8 :   message: CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH
  success: True
   status: 0
      fun: 4.317225669505589
        x: [-3.299e+00 -1.500e+01]
      nit: 18
      jac: [-1.998e-05  7.994e-06]
     nfev: 57
     njev: 19
 hess_inv: <2x2 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 9 :   message: CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH
  success: True
   status: 0
      fun: 4.317225669618007
        x: [-3.299e+00 -1.500e+01]
      nit: 19
      jac: [-2.505e-05  8.349e-06]
     nfev: 66
     njev: 22
 hess_inv: <2x2 LbfgsInvHessProduct with dtype=float64>
