INFO:root:Namespace(input_file='data/gaussian.npy', output_dir='outputs/17', architecture='escape_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: [ 1.434e-01  5.454e-01  1.529e-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: [ 5.858e-01  8.622e-01  9.857e-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: [ 8.793e-01  4.076e-02  5.830e-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: [ 3.774e-01  5.142e-01  7.782e-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: [ 2.031e-01  6.665e-01  2.774e-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: [ 8.909e-01  7.642e-01  3.884e-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: [ 5.531e-01  3.703e-01  1.546e-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: [ 5.421e-01  5.796e-01  6.905e-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: [ 5.375e-01  2.893e-01  6.341e-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: [ 9.684e-01  7.523e-01  5.745e-01]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00]
     nfev: 4
     njev: 1
 hess_inv: <3x3 LbfgsInvHessProduct with dtype=float64>
