INFO:root:Namespace(input_file='data/gaussian.npy', output_dir='outputs/800', architecture='cyclic', number_of_states=2, 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: 6.315046539946795e-06
        x: [-1.500e+01]
      nit: 5
      jac: [ 5.959e-06]
     nfev: 24
     njev: 12
 hess_inv: <1x1 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 1 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 6.315046539946795e-06
        x: [-1.500e+01]
      nit: 8
      jac: [ 5.959e-06]
     nfev: 26
     njev: 13
 hess_inv: <1x1 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 2 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 6.315046539946795e-06
        x: [-1.500e+01]
      nit: 4
      jac: [ 5.959e-06]
     nfev: 22
     njev: 11
 hess_inv: <1x1 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 3 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 6.315046539946795e-06
        x: [-1.500e+01]
      nit: 4
      jac: [ 5.959e-06]
     nfev: 22
     njev: 11
 hess_inv: <1x1 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 4 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 6.315046539946795e-06
        x: [-1.500e+01]
      nit: 5
      jac: [ 5.959e-06]
     nfev: 24
     njev: 12
 hess_inv: <1x1 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 5 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 6.315046539946795e-06
        x: [-1.500e+01]
      nit: 7
      jac: [ 5.959e-06]
     nfev: 26
     njev: 13
 hess_inv: <1x1 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 6 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 6.315046539946795e-06
        x: [-1.500e+01]
      nit: 7
      jac: [ 5.959e-06]
     nfev: 26
     njev: 13
 hess_inv: <1x1 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 7 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 6.315046539946795e-06
        x: [-1.500e+01]
      nit: 4
      jac: [ 5.959e-06]
     nfev: 22
     njev: 11
 hess_inv: <1x1 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 8 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 6.315046539946795e-06
        x: [-1.500e+01]
      nit: 7
      jac: [ 5.959e-06]
     nfev: 26
     njev: 13
 hess_inv: <1x1 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 9 :   message: CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL
  success: True
   status: 0
      fun: 6.315046539946795e-06
        x: [-1.500e+01]
      nit: 4
      jac: [ 5.959e-06]
     nfev: 22
     njev: 11
 hess_inv: <1x1 LbfgsInvHessProduct with dtype=float64>
