INFO:root:Namespace(input_file='data/gaussian.npy', output_dir='outputs/922', architecture='k-jumps', number_of_states=48, 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=3)
INFO:root:Best Optimization Result for iteration 0 :   message: CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH
  success: True
   status: 0
      fun: 2.9952791288679177
        x: [ 8.201e+00 -1.270e+01 ...  2.176e-01  5.610e-01]
      nit: 90
      jac: [ 4.441e-07  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 14456
     njev: 104
 hess_inv: <138x138 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: 2.9949016392201058
        x: [ 7.024e+00 -6.419e+00 ...  6.965e-01  2.146e-01]
      nit: 135
      jac: [-1.021e-06  1.421e-06 ...  0.000e+00  0.000e+00]
     nfev: 21267
     njev: 153
 hess_inv: <138x138 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: 2.9968473553452912
        x: [ 1.014e+01 -9.582e+00 ...  1.953e-01  9.820e-01]
      nit: 81
      jac: [ 8.882e-08  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 13483
     njev: 97
 hess_inv: <138x138 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: 2.995094774314215
        x: [ 7.257e+00 -8.700e+00 ...  4.821e-01  6.054e-01]
      nit: 92
      jac: [-3.997e-07  1.332e-07 ...  0.000e+00  0.000e+00]
     nfev: 14039
     njev: 101
 hess_inv: <138x138 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: 2.9966928941262836
        x: [ 8.064e+00 -8.040e+00 ...  6.456e-01  6.181e-01]
      nit: 79
      jac: [-4.441e-08  4.441e-08 ...  0.000e+00  0.000e+00]
     nfev: 12927
     njev: 93
 hess_inv: <138x138 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: 2.9991511685699836
        x: [ 9.335e+00 -9.540e+00 ...  9.729e-01  6.391e-02]
      nit: 63
      jac: [ 4.441e-07  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 9591
     njev: 69
 hess_inv: <138x138 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: 2.9949497486816843
        x: [ 8.269e+00 -1.004e+01 ...  6.859e-01  1.636e-01]
      nit: 78
      jac: [ 2.220e-07  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 12371
     njev: 89
 hess_inv: <138x138 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: 2.9962004434464315
        x: [ 9.026e+00 -9.189e+00 ...  5.765e-01  5.471e-01]
      nit: 87
      jac: [-4.441e-08  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 12788
     njev: 92
 hess_inv: <138x138 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: 2.9949607254132213
        x: [ 9.221e+00 -1.018e+01 ...  4.110e-01  1.078e-01]
      nit: 97
      jac: [ 1.332e-07  0.000e+00 ...  0.000e+00  0.000e+00]
     nfev: 15290
     njev: 110
 hess_inv: <138x138 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: 2.994641663704381
        x: [ 8.098e+00 -7.650e+00 ...  8.984e-01  2.266e-01]
      nit: 75
      jac: [-4.441e-08  1.776e-07 ...  0.000e+00  0.000e+00]
     nfev: 11954
     njev: 86
 hess_inv: <138x138 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.
