INFO:root:Namespace(input_file='data/bimodal.npy', output_dir='outputs/1029', architecture='k-jumps', number_of_states=26, 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: 3.908519062115556
        x: [ 1.499e+01 -1.500e+01 ...  7.383e-01  3.058e-01]
      nit: 92
      jac: [-4.441e-08  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 7739
     njev: 109
 hess_inv: <70x70 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: 3.9064935663897367
        x: [ 1.500e+01 -1.500e+01 ...  6.843e-01  8.116e-01]
      nit: 110
      jac: [-4.441e-08  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 9443
     njev: 133
 hess_inv: <70x70 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: 3.8956829471266268
        x: [ 1.500e+01 -1.500e+01 ...  3.533e-01  8.682e-01]
      nit: 113
      jac: [-0.000e+00  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 9372
     njev: 132
 hess_inv: <70x70 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: 3.9051060907573283
        x: [ 1.227e+01 -1.320e+01 ...  4.361e-01  2.734e-01]
      nit: 77
      jac: [-4.441e-08  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 6248
     njev: 88
 hess_inv: <70x70 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: 3.905006142309119
        x: [ 1.108e+01 -1.500e+01 ...  9.313e-01  7.823e-01]
      nit: 81
      jac: [-2.220e-07  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 6603
     njev: 93
 hess_inv: <70x70 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: 3.9084992918300974
        x: [ 1.379e+01 -1.500e+01 ...  1.826e-01  5.800e-01]
      nit: 93
      jac: [-4.441e-08  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 7384
     njev: 104
 hess_inv: <70x70 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: 3.9053237862272736
        x: [ 1.500e+01 -1.500e+01 ...  3.103e-03  2.951e-01]
      nit: 77
      jac: [-0.000e+00  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 5964
     njev: 84
 hess_inv: <70x70 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: 3.905306150549164
        x: [ 1.118e+01 -1.500e+01 ...  7.097e-03  1.029e-01]
      nit: 67
      jac: [-1.776e-07  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 5183
     njev: 73
 hess_inv: <70x70 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: 3.9102519315441047
        x: [ 8.768e+00 -9.750e+00 ...  2.113e-03  6.491e-01]
      nit: 88
      jac: [-2.665e-07  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 7171
     njev: 101
 hess_inv: <70x70 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: 3.8972176378926418
        x: [ 1.500e+01 -1.500e+01 ...  9.552e-01  6.635e-01]
      nit: 104
      jac: [-4.441e-08  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 8804
     njev: 124
 hess_inv: <70x70 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.
