INFO:root:Namespace(input_file='data/far_gaussian.npy', output_dir='outputs/186', architecture='chain', number_of_states=4, log_f='trainig_log', no_mean=1, threads=1, fit='d', training_opt=[10, 500, 100], 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: 46.05170185988091
        x: [ 8.886e-02  6.505e-01  9.012e-01]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00]
     nfev: 4
     njev: 1
 hess_inv: <3x3 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 1 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 46.05170185988091
        x: [ 1.452e-01  2.394e-01  9.443e-01]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00]
     nfev: 4
     njev: 1
 hess_inv: <3x3 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 2 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 46.05170185988091
        x: [ 3.673e-01  8.708e-01  7.824e-01]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00]
     nfev: 4
     njev: 1
 hess_inv: <3x3 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 3 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 46.05170185988091
        x: [ 3.003e-02  3.906e-01  9.712e-01]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00]
     nfev: 4
     njev: 1
 hess_inv: <3x3 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 4 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 46.05170185988091
        x: [ 1.448e-01  2.787e-01  8.647e-01]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00]
     nfev: 4
     njev: 1
 hess_inv: <3x3 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 5 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 46.05170185988091
        x: [ 6.978e-01  8.991e-01  4.966e-01]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00]
     nfev: 4
     njev: 1
 hess_inv: <3x3 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 6 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 46.05170185988091
        x: [ 7.260e-01  3.425e-02  4.052e-01]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00]
     nfev: 4
     njev: 1
 hess_inv: <3x3 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 7 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 46.05170185988091
        x: [ 8.057e-01  2.408e-01  3.609e-01]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00]
     nfev: 4
     njev: 1
 hess_inv: <3x3 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 8 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 46.05170185988091
        x: [ 6.330e-01  8.317e-01  4.723e-01]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00]
     nfev: 4
     njev: 1
 hess_inv: <3x3 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 9 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 46.05170185988091
        x: [ 3.477e-01  2.539e-01  6.370e-01]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00]
     nfev: 4
     njev: 1
 hess_inv: <3x3 LbfgsInvHessProduct with dtype=float64>
