INFO:root:Namespace(input_file='data/bimodal.npy', output_dir='outputs/77', architecture='combined', number_of_states=2, log_f='trainig_log', no_mean=1, 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: 4.317226768501401
        x: [-3.300e+00 -1.491e+01]
      nit: 21
      jac: [-7.732e-04  9.059e-06]
     nfev: 75
     njev: 25
 hess_inv: <2x2 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 1 :   message: CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH
  success: True
   status: 0
      fun: 4.317225669578927
        x: [-3.299e+00 -1.500e+01]
      nit: 20
      jac: [ 2.425e-05  8.527e-06]
     nfev: 69
     njev: 23
 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: 4.3172256693711235
        x: [-3.299e+00 -1.500e+01]
      nit: 21
      jac: [ 1.226e-05  8.438e-06]
     nfev: 78
     njev: 26
 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: 4.317226759118786
        x: [-3.299e+00 -1.488e+01]
      nit: 18
      jac: [ 2.264e-04  9.681e-06]
     nfev: 60
     njev: 20
 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: 4.31722566929494
        x: [-3.299e+00 -1.500e+01]
      nit: 20
      jac: [-7.994e-07  8.438e-06]
     nfev: 72
     njev: 24
 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: 4.317225669303762
        x: [-3.299e+00 -1.500e+01]
      nit: 21
      jac: [ 4.174e-06  8.438e-06]
     nfev: 72
     njev: 24
 hess_inv: <2x2 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 6 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 4.317225669294735
        x: [-3.299e+00 -1.500e+01]
      nit: 18
      jac: [-9.770e-07  8.438e-06]
     nfev: 63
     njev: 21
 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: 4.317253541254057
        x: [-3.300e+00 -1.353e+01]
      nit: 15
      jac: [-7.170e-04  3.615e-05]
     nfev: 60
     njev: 20
 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: 4.31722567131334
        x: [-3.299e+00 -1.500e+01]
      nit: 21
      jac: [ 6.217e-05  8.704e-06]
     nfev: 69
     njev: 23
 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: 4.317225814574117
        x: [-3.298e+00 -1.500e+01]
      nit: 21
      jac: [ 5.296e-04  8.438e-06]
     nfev: 72
     njev: 24
 hess_inv: <2x2 LbfgsInvHessProduct with dtype=float64>
