INFO:root:Namespace(input_file='data/bimodal.npy', output_dir='outputs/410', architecture='escape_chain', number_of_states=6, 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: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 46.051701859880914
        x: [ 7.719e-01  9.180e-01  3.623e-01  6.570e-01  4.458e-01]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00  0.000e+00  0.000e+00]
     nfev: 6
     njev: 1
 hess_inv: <5x5 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 1 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 46.051701859880914
        x: [ 2.640e-01  5.934e-01  7.342e-01  1.751e-01  3.540e-01]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00  0.000e+00  0.000e+00]
     nfev: 6
     njev: 1
 hess_inv: <5x5 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 2 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 46.051701859880914
        x: [ 9.414e-01  9.247e-01  5.430e-01  7.667e-01  6.210e-01]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00  0.000e+00  0.000e+00]
     nfev: 6
     njev: 1
 hess_inv: <5x5 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 3 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 46.051701859880914
        x: [ 1.661e-01  1.051e-01  4.565e-02  5.186e-01  1.061e-01]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00  0.000e+00  0.000e+00]
     nfev: 6
     njev: 1
 hess_inv: <5x5 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 4 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 46.051701859880914
        x: [ 7.074e-01  1.784e-01  1.528e-01  9.250e-01  2.482e-02]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00  0.000e+00  0.000e+00]
     nfev: 6
     njev: 1
 hess_inv: <5x5 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 5 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 46.051701859880914
        x: [ 4.302e-01  8.056e-01  4.116e-01  5.245e-01  9.579e-01]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00  0.000e+00  0.000e+00]
     nfev: 6
     njev: 1
 hess_inv: <5x5 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 6 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 46.051701859880914
        x: [ 4.036e-01  5.022e-01  6.070e-01  4.673e-01  5.268e-01]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00  0.000e+00  0.000e+00]
     nfev: 6
     njev: 1
 hess_inv: <5x5 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 7 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 46.051701859880914
        x: [ 1.043e-01  7.387e-01  6.734e-01  1.344e-01  8.311e-01]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00  0.000e+00  0.000e+00]
     nfev: 6
     njev: 1
 hess_inv: <5x5 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 8 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 46.051701859880914
        x: [ 5.136e-02  9.684e-01  5.408e-02  3.335e-01  4.753e-01]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00  0.000e+00  0.000e+00]
     nfev: 6
     njev: 1
 hess_inv: <5x5 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 9 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 46.051701859880914
        x: [ 5.677e-01  5.104e-02  5.013e-01  5.116e-01  1.538e-01]
      nit: 0
      jac: [ 0.000e+00  0.000e+00  0.000e+00  0.000e+00  0.000e+00]
     nfev: 6
     njev: 1
 hess_inv: <5x5 LbfgsInvHessProduct with dtype=float64>
