INFO:root:Namespace(input_file='data/complement_hirt_chr.txt', output_dir='outputs/770', architecture='combined', number_of_states=2, log_f='trainig_log', no_mean=0, threads=10, fit='i', training_opt=[10, 2000, 90], opt_options=[1e-06, 1e-06, 15000.0, 10.0])
INFO:root:Best Optimization Result for iteration 0 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 24.095344813887593
        x: [-1.500e+01 -1.500e+01]
      nit: 0
      jac: [ 2.477e+00  3.400e+00]
     nfev: 3
     njev: 1
 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: 24.095344813887593
        x: [-1.500e+01 -1.500e+01]
      nit: 0
      jac: [ 2.477e+00  3.400e+00]
     nfev: 3
     njev: 1
 hess_inv: <2x2 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 2 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 24.095344813887593
        x: [-1.500e+01 -1.500e+01]
      nit: 0
      jac: [ 2.477e+00  3.400e+00]
     nfev: 3
     njev: 1
 hess_inv: <2x2 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 3 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 24.095344813887593
        x: [-1.500e+01 -1.500e+01]
      nit: 0
      jac: [ 2.477e+00  3.400e+00]
     nfev: 3
     njev: 1
 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: 24.095344813887593
        x: [-1.500e+01 -1.500e+01]
      nit: 0
      jac: [ 2.477e+00  3.400e+00]
     nfev: 3
     njev: 1
 hess_inv: <2x2 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 5 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 24.095344813887593
        x: [-1.500e+01 -1.500e+01]
      nit: 0
      jac: [ 2.477e+00  3.400e+00]
     nfev: 3
     njev: 1
 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: 24.095344813887593
        x: [-1.500e+01 -1.500e+01]
      nit: 0
      jac: [ 2.477e+00  3.400e+00]
     nfev: 3
     njev: 1
 hess_inv: <2x2 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 7 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 24.095344813887593
        x: [-1.500e+01 -1.500e+01]
      nit: 0
      jac: [ 2.477e+00  3.400e+00]
     nfev: 3
     njev: 1
 hess_inv: <2x2 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 8 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 24.095344813887593
        x: [-1.500e+01 -1.500e+01]
      nit: 0
      jac: [ 2.477e+00  3.400e+00]
     nfev: 3
     njev: 1
 hess_inv: <2x2 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 9 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 24.095344813887593
        x: [-1.500e+01 -1.500e+01]
      nit: 0
      jac: [ 2.477e+00  3.400e+00]
     nfev: 3
     njev: 1
 hess_inv: <2x2 LbfgsInvHessProduct with dtype=float64>
