INFO:root:Namespace(input_file='data/uniform.npy', output_dir='outputs/368', architecture='chain', number_of_states=2, log_f='trainig_log', no_mean=1, threads=1, fit='d', training_opt=[10, 20, 100], opt_options=[1e-06, 1e-06, 15000.0, 10.0])
INFO:root:Best Optimization Result for iteration 0 :   message: CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH
  success: True
   status: 0
      fun: 3.302168113460398
        x: [ 2.251e+00]
      nit: 6
      jac: [-3.109e-06]
     nfev: 14
     njev: 7
 hess_inv: <1x1 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 1 :   message: CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH
  success: True
   status: 0
      fun: 3.3021681134588854
        x: [ 2.251e+00]
      nit: 7
      jac: [-2.709e-06]
     nfev: 18
     njev: 9
 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: 3.3021681134548664
        x: [ 2.251e+00]
      nit: 7
      jac: [ 3.553e-07]
     nfev: 16
     njev: 8
 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: 3.302168113454813
        x: [ 2.251e+00]
      nit: 7
      jac: [-4.441e-08]
     nfev: 18
     njev: 9
 hess_inv: <1x1 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 4 :   message: CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH
  success: True
   status: 0
      fun: 3.302168113458714
        x: [ 2.251e+00]
      nit: 6
      jac: [ 2.620e-06]
     nfev: 16
     njev: 8
 hess_inv: <1x1 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 5 :   message: CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH
  success: True
   status: 0
      fun: 3.302168113455429
        x: [ 2.251e+00]
      nit: 6
      jac: [ 1.066e-06]
     nfev: 16
     njev: 8
 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: 3.3021681134549192
        x: [ 2.251e+00]
      nit: 7
      jac: [-5.329e-07]
     nfev: 18
     njev: 9
 hess_inv: <1x1 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 7 :   message: CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH
  success: True
   status: 0
      fun: 3.3021681134625354
        x: [ 2.251e+00]
      nit: 6
      jac: [ 3.775e-06]
     nfev: 16
     njev: 8
 hess_inv: <1x1 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 8 :   message: CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH
  success: True
   status: 0
      fun: 3.3021681134579417
        x: [ 2.251e+00]
      nit: 6
      jac: [-2.354e-06]
     nfev: 14
     njev: 7
 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: 3.3021681134548118
        x: [ 2.251e+00]
      nit: 7
      jac: [-8.882e-08]
     nfev: 16
     njev: 8
 hess_inv: <1x1 LbfgsInvHessProduct with dtype=float64>
