INFO:root:Namespace(input_file='data/bimodal.npy', output_dir='outputs/359', architecture='escape_chain', number_of_states=14, log_f='trainig_log', no_mean=0, 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: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH
  success: True
   status: 0
      fun: 41.6079889068327
        x: [-1.500e+01 -1.500e+01 ... -4.092e-01 -9.208e+00]
      nit: 18
      jac: [ 0.000e+00  0.000e+00 ... -5.400e-05  4.263e-06]
     nfev: 364
     njev: 26
 hess_inv: <13x13 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: 41.60799025439025
        x: [-1.500e+01 -1.500e+01 ... -4.057e-01 -8.686e+00]
      nit: 18
      jac: [ 0.000e+00  0.000e+00 ... -3.553e-06  6.395e-06]
     nfev: 378
     njev: 27
 hess_inv: <13x13 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: 41.60798991078295
        x: [-1.500e+01 -1.500e+01 ... -4.041e-01 -8.752e+00]
      nit: 18
      jac: [ 7.105e-07  7.105e-07 ...  1.990e-05  6.395e-06]
     nfev: 336
     njev: 24
 hess_inv: <13x13 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: 41.60798729061703
        x: [-1.500e+01 -1.500e+01 ... -4.050e-01 -9.662e+00]
      nit: 18
      jac: [ 0.000e+00  0.000e+00 ...  7.816e-06  1.421e-06]
     nfev: 350
     njev: 25
 hess_inv: <13x13 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: 41.608015313767375
        x: [-1.500e+01 -1.500e+01 ... -4.191e-01 -7.194e+00]
      nit: 19
      jac: [ 0.000e+00  0.000e+00 ... -1.954e-04  2.629e-05]
     nfev: 378
     njev: 27
 hess_inv: <13x13 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: 41.60798955294569
        x: [-1.500e+01 -1.500e+01 ... -3.955e-01 -9.355e+00]
      nit: 19
      jac: [ 0.000e+00  0.000e+00 ...  1.435e-04  2.842e-06]
     nfev: 364
     njev: 26
 hess_inv: <13x13 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: 41.60799381141891
        x: [-1.500e+01 -1.500e+01 ... -3.969e-01 -8.467e+00]
      nit: 18
      jac: [ 0.000e+00  0.000e+00 ...  1.229e-04  7.816e-06]
     nfev: 322
     njev: 23
 hess_inv: <13x13 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: 41.60799154589187
        x: [-1.500e+01 -1.500e+01 ... -4.068e-01 -8.485e+00]
      nit: 20
      jac: [ 0.000e+00  0.000e+00 ... -1.918e-05  7.105e-06]
     nfev: 406
     njev: 29
 hess_inv: <13x13 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: 41.607988508918105
        x: [-1.500e+01 -1.500e+01 ... -4.065e-01 -9.517e+00]
      nit: 18
      jac: [ 0.000e+00  0.000e+00 ... -1.563e-05  2.842e-06]
     nfev: 350
     njev: 25
 hess_inv: <13x13 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: 41.60800077239333
        x: [-1.500e+01 -1.500e+01 ... -4.031e-01 -9.477e+00]
      nit: 18
      jac: [ 0.000e+00  0.000e+00 ...  3.411e-05  2.132e-06]
     nfev: 350
     njev: 25
 hess_inv: <13x13 LbfgsInvHessProduct with dtype=float64>
