INFO:root:Namespace(input_file='data/far_gaussian.npy', output_dir='outputs/618', architecture='full', 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: [ 5.564e-01  8.159e-01  2.937e-01  5.638e-01  6.015e-01
             2.033e-01  1.163e-01  3.794e-01  7.702e-03]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00  0.000e+00  0.000e+00
             0.000e+00  0.000e+00  0.000e+00  0.000e+00]
     nfev: 10
     njev: 1
 hess_inv: <9x9 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: [ 7.666e-01  9.909e-01  5.466e-01  6.552e-01  9.753e-01
             7.474e-01  4.042e-01  1.440e-03  4.022e-01]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00  0.000e+00  0.000e+00
             0.000e+00  0.000e+00  0.000e+00  0.000e+00]
     nfev: 10
     njev: 1
 hess_inv: <9x9 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: [ 8.780e-01  6.846e-01  7.327e-01  8.318e-02  2.060e-01
             2.095e-01  6.191e-01  9.235e-01  6.725e-01]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00  0.000e+00  0.000e+00
             0.000e+00  0.000e+00  0.000e+00  0.000e+00]
     nfev: 10
     njev: 1
 hess_inv: <9x9 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: [ 5.322e-01  5.640e-01  6.957e-01  4.257e-01  3.265e-01
             9.524e-01  8.404e-01  9.105e-01  4.090e-01]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00  0.000e+00  0.000e+00
             0.000e+00  0.000e+00  0.000e+00  0.000e+00]
     nfev: 10
     njev: 1
 hess_inv: <9x9 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: [ 1.422e-01  9.682e-01  1.082e-01  1.157e-01  9.327e-01
             8.114e-01  3.602e-01  1.813e-01  3.208e-01]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00  0.000e+00  0.000e+00
             0.000e+00  0.000e+00  0.000e+00  0.000e+00]
     nfev: 10
     njev: 1
 hess_inv: <9x9 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: [ 1.381e-01  2.484e-01  9.077e-02  1.075e-01  5.403e-01
             7.387e-01  3.091e-01  8.042e-02  1.062e-01]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00  0.000e+00  0.000e+00
             0.000e+00  0.000e+00  0.000e+00  0.000e+00]
     nfev: 10
     njev: 1
 hess_inv: <9x9 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: [ 9.616e-01  3.175e-01  9.398e-01  8.252e-01  9.940e-01
             4.499e-01  5.456e-01  6.542e-01  8.751e-01]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00  0.000e+00  0.000e+00
             0.000e+00  0.000e+00  0.000e+00  0.000e+00]
     nfev: 10
     njev: 1
 hess_inv: <9x9 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: [ 6.220e-01  6.113e-01  2.971e-01  3.542e-01  1.099e-01
             6.553e-01  3.581e-01  9.851e-01  7.747e-01]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00  0.000e+00  0.000e+00
             0.000e+00  0.000e+00  0.000e+00  0.000e+00]
     nfev: 10
     njev: 1
 hess_inv: <9x9 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: [ 6.206e-01  6.013e-01  8.811e-01  5.249e-01  4.369e-01
             6.894e-01  7.532e-01  1.536e-01  2.878e-01]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00  0.000e+00  0.000e+00
             0.000e+00  0.000e+00  0.000e+00  0.000e+00]
     nfev: 10
     njev: 1
 hess_inv: <9x9 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: [ 6.485e-01  3.979e-04  9.055e-01  1.311e-01  4.031e-01
             2.758e-01  1.035e-01  1.203e-01  3.524e-01]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00  0.000e+00  0.000e+00
             0.000e+00  0.000e+00  0.000e+00  0.000e+00]
     nfev: 10
     njev: 1
 hess_inv: <9x9 LbfgsInvHessProduct with dtype=float64>
