INFO:root:Namespace(input_file='data/gaussian.npy', output_dir='outputs/1014', architecture='k-jumps', number_of_states=40, 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: 2.995823515167903
        x: [ 3.126e+00 -7.253e+00 ...  2.093e-01  3.227e-01]
      nit: 79
      jac: [-4.707e-06  3.109e-05 ...  0.000e+00  0.000e+00]
     nfev: 10396
     njev: 92
 hess_inv: <112x112 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: 2.994301853564706
        x: [ 1.079e+00 -1.175e+01 ...  5.830e-01  9.145e-01]
      nit: 71
      jac: [ 2.037e-04  2.709e-06 ...  0.000e+00  0.000e+00]
     nfev: 9379
     njev: 83
 hess_inv: <112x112 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: 2.9943494480808237
        x: [ 4.390e+00 -9.050e+00 ...  4.822e-01  5.814e-01]
      nit: 68
      jac: [-8.793e-06  1.421e-06 ...  0.000e+00  0.000e+00]
     nfev: 8588
     njev: 76
 hess_inv: <112x112 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: 2.9991721312326116
        x: [ 2.290e-01 -1.253e+01 ...  3.850e-01  5.541e-01]
      nit: 102
      jac: [-7.430e-05  2.842e-06 ...  0.000e+00  0.000e+00]
     nfev: 13560
     njev: 120
 hess_inv: <112x112 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: 2.994762258378397
        x: [ 5.484e-01 -1.189e+01 ...  6.334e-02  3.083e-01]
      nit: 98
      jac: [-2.478e-05  3.952e-06 ...  0.000e+00  0.000e+00]
     nfev: 12430
     njev: 110
 hess_inv: <112x112 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: 2.996194596532082
        x: [ 6.483e+00 -9.166e+00 ...  5.413e-01  7.683e-01]
      nit: 54
      jac: [ 2.220e-06  1.776e-07 ...  0.000e+00  0.000e+00]
     nfev: 7006
     njev: 62
 hess_inv: <112x112 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: 2.9951813459483003
        x: [ 1.403e+00 -1.056e+01 ...  1.122e-02  1.279e-01]
      nit: 90
      jac: [ 5.027e-05  6.395e-06 ...  0.000e+00  0.000e+00]
     nfev: 11074
     njev: 98
 hess_inv: <112x112 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: 2.9999844955711574
        x: [ 5.879e+00 -1.069e+01 ...  9.721e-01  8.138e-01]
      nit: 68
      jac: [ 3.153e-06  4.441e-08 ...  0.000e+00  0.000e+00]
     nfev: 8588
     njev: 76
 hess_inv: <112x112 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: 2.994834923248554
        x: [ 3.533e+00 -9.879e+00 ...  6.449e-01  8.420e-03]
      nit: 65
      jac: [-1.972e-05  1.465e-06 ...  0.000e+00  0.000e+00]
     nfev: 8249
     njev: 73
 hess_inv: <112x112 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: 2.997313277060227
        x: [ 5.055e+00 -9.803e+00 ...  2.681e-01  6.415e-01]
      nit: 90
      jac: [ 1.199e-06  3.553e-07 ...  0.000e+00  0.000e+00]
     nfev: 12430
     njev: 110
 hess_inv: <112x112 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.
