INFO:root:Namespace(input_file='data/bimodal.npy', output_dir='outputs/1117', architecture='k-jumps', number_of_states=18, 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=7)
INFO:root:Best Optimization Result for iteration 0 :   message: CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH
  success: True
   status: 0
      fun: 3.829059582385893
        x: [ 1.316e+01 -1.360e+01 ... -8.890e+00  5.346e+00]
      nit: 91
      jac: [ 0.000e+00  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 4500
     njev: 100
 hess_inv: <44x44 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: 3.859338569351031
        x: [ 1.219e+01 -1.200e+01 ... -6.462e+00  9.417e-01]
      nit: 69
      jac: [-8.882e-08  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 3285
     njev: 73
 hess_inv: <44x44 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: 3.8485556975793433
        x: [ 8.325e+00 -9.813e+00 ... -3.617e+00  1.427e+00]
      nit: 82
      jac: [-3.642e-06  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 4365
     njev: 97
 hess_inv: <44x44 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: 3.831195701344679
        x: [ 1.489e+01 -1.486e+01 ... -6.346e+00  1.734e+00]
      nit: 109
      jac: [-4.441e-08  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 5715
     njev: 127
 hess_inv: <44x44 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: 3.859379807884122
        x: [ 1.354e+01 -1.322e+01 ... -8.996e+00  1.644e+00]
      nit: 86
      jac: [ 0.000e+00  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 4320
     njev: 96
 hess_inv: <44x44 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: 3.8584463388380783
        x: [ 7.925e+00 -9.784e+00 ... -5.192e+00  1.120e+00]
      nit: 63
      jac: [-2.576e-06  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 3060
     njev: 68
 hess_inv: <44x44 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: 3.858515621941726
        x: [ 9.964e+00 -1.095e+01 ... -5.814e+00  3.571e+00]
      nit: 77
      jac: [-3.109e-07  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 3960
     njev: 88
 hess_inv: <44x44 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: 3.7968616275757774
        x: [ 1.185e+01 -1.141e+01 ... -1.298e+01  1.436e+00]
      nit: 113
      jac: [-4.441e-08  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 6255
     njev: 139
 hess_inv: <44x44 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: 3.8595259952129704
        x: [ 1.404e+01 -1.500e+01 ... -6.127e+00  4.467e+00]
      nit: 77
      jac: [ 0.000e+00  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 4050
     njev: 90
 hess_inv: <44x44 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: 3.8290648940176024
        x: [ 1.495e+01 -1.500e+01 ... -6.713e+00  3.002e+00]
      nit: 91
      jac: [ 0.000e+00  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 4770
     njev: 106
 hess_inv: <44x44 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.
