INFO:root:Namespace(input_file='data/bimodal.npy', output_dir='outputs/167', architecture='chain', number_of_states=26, log_f='trainig_log', no_mean=0, 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: 46.008379974728875
        x: [-1.500e+01 -1.500e+01 ... -1.500e+01 -1.500e+01]
      nit: 1
      jac: [-1.634e-04 -1.634e-04 ... -1.634e-04 -1.634e-04]
     nfev: 52
     njev: 2
 hess_inv: <25x25 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: 46.008379976489294
        x: [-1.500e+01 -1.500e+01 ... -1.500e+01 -1.500e+01]
      nit: 1
      jac: [-1.620e-04 -1.620e-04 ... -1.620e-04 -1.620e-04]
     nfev: 52
     njev: 2
 hess_inv: <25x25 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: 46.00837997842903
        x: [-1.500e+01 -1.500e+01 ... -1.500e+01 -1.500e+01]
      nit: 1
      jac: [-1.634e-04 -1.634e-04 ... -1.634e-04 -1.634e-04]
     nfev: 52
     njev: 2
 hess_inv: <25x25 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: 46.008379976112174
        x: [-1.500e+01 -1.500e+01 ... -1.500e+01 -1.500e+01]
      nit: 1
      jac: [-1.627e-04 -1.627e-04 ... -1.627e-04 -1.627e-04]
     nfev: 52
     njev: 2
 hess_inv: <25x25 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: 46.008379893845124
        x: [-1.500e+01 -1.500e+01 ... -1.500e+01 -1.500e+01]
      nit: 1
      jac: [-1.634e-04 -1.634e-04 ... -1.634e-04 -1.634e-04]
     nfev: 52
     njev: 2
 hess_inv: <25x25 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: 46.00837997917339
        x: [-1.500e+01 -1.500e+01 ... -1.500e+01 -1.500e+01]
      nit: 1
      jac: [-1.627e-04 -1.627e-04 ... -1.627e-04 -1.627e-04]
     nfev: 52
     njev: 2
 hess_inv: <25x25 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: 46.00837997579701
        x: [-1.500e+01 -1.500e+01 ... -1.500e+01 -1.500e+01]
      nit: 1
      jac: [-1.627e-04 -1.627e-04 ... -1.627e-04 -1.627e-04]
     nfev: 52
     njev: 2
 hess_inv: <25x25 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: 46.00837990965146
        x: [-1.500e+01 -1.500e+01 ... -1.500e+01 -1.500e+01]
      nit: 1
      jac: [-1.627e-04 -1.627e-04 ... -1.627e-04 -1.627e-04]
     nfev: 52
     njev: 2
 hess_inv: <25x25 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: 46.008379973747246
        x: [-1.500e+01 -1.500e+01 ... -1.500e+01 -1.500e+01]
      nit: 1
      jac: [-1.634e-04 -1.634e-04 ... -1.634e-04 -1.634e-04]
     nfev: 52
     njev: 2
 hess_inv: <25x25 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: 46.008379976068326
        x: [-1.500e+01 -1.500e+01 ... -1.500e+01 -1.500e+01]
      nit: 1
      jac: [-1.634e-04 -1.634e-04 ... -1.634e-04 -1.634e-04]
     nfev: 52
     njev: 2
 hess_inv: <25x25 LbfgsInvHessProduct with dtype=float64>
