INFO:root:Namespace(input_file='data/bimodal.npy', output_dir='outputs/63', architecture='chain', number_of_states=2, 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: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH
  success: True
   status: 0
      fun: 4.317217383933769
        x: [ 3.299e+00]
      nit: 8
      jac: [ 2.132e-06]
     nfev: 34
     njev: 17
 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: 4.317217383948278
        x: [ 3.299e+00]
      nit: 6
      jac: [ 5.596e-06]
     nfev: 18
     njev: 9
 hess_inv: <1x1 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 2 :   message: CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH
  success: True
   status: 0
      fun: 4.317217384007501
        x: [ 3.299e+00]
      nit: 5
      jac: [ 1.226e-05]
     nfev: 24
     njev: 12
 hess_inv: <1x1 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 3 :   message: CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH
  success: True
   status: 0
      fun: 4.317217383941
        x: [ 3.299e+00]
      nit: 7
      jac: [-4.352e-06]
     nfev: 28
     njev: 14
 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: 4.317217384127707
        x: [ 3.299e+00]
      nit: 7
      jac: [ 1.972e-05]
     nfev: 22
     njev: 11
 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: 4.317217383931608
        x: [ 3.299e+00]
      nit: 8
      jac: [ 7.994e-07]
     nfev: 22
     njev: 11
 hess_inv: <1x1 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 6 :   message: CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH
  success: True
   status: 0
      fun: 4.317217385158827
        x: [ 3.299e+00]
      nit: 7
      jac: [ 4.858e-05]
     nfev: 30
     njev: 15
 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: 4.317217383984746
        x: [ 3.299e+00]
      nit: 7
      jac: [ 1.021e-05]
     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: 4.317217383931204
        x: [ 3.299e+00]
      nit: 8
      jac: [ 5.329e-07]
     nfev: 34
     njev: 17
 hess_inv: <1x1 LbfgsInvHessProduct with dtype=float64>
INFO:root:Best Optimization Result for iteration 9 :   message: CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH
  success: True
   status: 0
      fun: 4.3172173839345875
        x: [ 3.299e+00]
      nit: 8
      jac: [ 2.487e-06]
     nfev: 34
     njev: 17
 hess_inv: <1x1 LbfgsInvHessProduct with dtype=float64>
