INFO:root:Namespace(input_file='data/bimodal.npy', output_dir='outputs/1038', architecture='k-jumps', number_of_states=44, 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], k=1, l=5)
INFO:root:Best Optimization Result for iteration 0 :   message: CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH
  success: True
   status: 0
      fun: 3.9324721096301007
        x: [ 1.024e+01 -1.309e+01 ...  4.379e-02  7.617e-01]
      nit: 63
      jac: [-7.994e-07  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 8625
     njev: 69
 hess_inv: <124x124 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: 3.9323983598268857
        x: [ 9.290e+00 -1.070e+01 ...  2.209e-01  4.949e-01]
      nit: 70
      jac: [-1.954e-06  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 9750
     njev: 78
 hess_inv: <124x124 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: 3.9218552598589085
        x: [ 1.123e+01 -1.252e+01 ...  6.504e-01  3.561e-01]
      nit: 96
      jac: [ 0.000e+00  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 13875
     njev: 111
 hess_inv: <124x124 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: 3.9322935402699044
        x: [ 1.269e+01 -1.213e+01 ...  6.712e-01  9.207e-01]
      nit: 62
      jac: [-4.441e-08  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 8625
     njev: 69
 hess_inv: <124x124 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: 3.932467861696655
        x: [ 1.108e+01 -1.406e+01 ...  9.639e-01  5.605e-01]
      nit: 67
      jac: [-2.665e-07  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 10000
     njev: 80
 hess_inv: <124x124 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: 3.931447852001873
        x: [ 6.776e+00 -9.316e+00 ...  5.039e-02  6.929e-01]
      nit: 85
      jac: [-3.730e-06  8.882e-08 ...  0.000e+00  0.000e+00]
     nfev: 11625
     njev: 93
 hess_inv: <124x124 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: 3.931098042290659
        x: [ 9.864e+00 -1.217e+01 ...  8.885e-01  5.271e-01]
      nit: 107
      jac: [-5.773e-07  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 15000
     njev: 120
 hess_inv: <124x124 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: 3.9324497789190045
        x: [ 9.862e+00 -1.188e+01 ...  1.695e-01  2.827e-01]
      nit: 64
      jac: [-1.155e-06  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 8875
     njev: 71
 hess_inv: <124x124 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: 3.9311774757767006
        x: [ 1.444e+01 -1.500e+01 ...  8.400e-01  9.203e-01]
      nit: 64
      jac: [ 0.000e+00  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 9250
     njev: 74
 hess_inv: <124x124 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: 3.9242851624334705
        x: [ 1.104e+01 -1.353e+01 ...  7.065e-01  5.267e-01]
      nit: 102
      jac: [-4.441e-08  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 14875
     njev: 119
 hess_inv: <124x124 LbfgsInvHessProduct with dtype=float64>
WARNING:matplotlib.legend:No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
