 Using SSLS sampler for hyperparameters and ESLS for latent values
 cycle  etr      
   10  -655.948  
   20  -814.127  
   30  -793.237  
   40  -811.429  
   50  -790.802  
   60  -795.628  
   70  -799.446  
   80  -790.804  
   90  -790.947  
  100  -793.979  
  110  -819.661  
  120  -810.312  
  130  -806.862  
  140  -799.911  
  150  -802.424  
  160  -809.855  
  170  -803.488  
  180  -802.406  
  190  -814.197  
  200  -815.736  
 Using SSLS sampler for hyperparameters and ESLS for latent values
 cycle  etr      
   10  -835.532  
   20  -876.538  
   30  -873.323  
   40  -873.999  
   50  -866.677  
   60  -865.850  
   70  -862.013  
   80  -861.627  
   90  -881.933  
  100  -882.073  
  110  -879.486  
  120  -858.539  
  130  -857.283  
  140  -859.148  
  150  -874.396  
  160  -874.116  
  170  -872.306  
  180  -873.092  
  190  -864.090  
  200  -869.966  
 Using SSLS sampler for hyperparameters and ESLS for latent values
 cycle  etr      
   10  -674.260  
   20  -782.390  
   30  -785.058  
   40  -777.811  
   50  -775.691  
   60  -781.468  
   70  -780.819  
   80  -778.977  
   90  -762.236  
  100  -775.296  
  110  -776.123  
  120  -767.543  
  130  -755.555  
  140  -748.529  
  150  -742.941  
  160  -743.832  
  170  -743.400  
  180  -751.381  
  190  -736.308  
  200  -742.827  
 Iteration  Func-count   Grad-count         f(x)         Step-size
     0           1           1             330.216    
     1           2           2             265.558       0.0138401
     2           4           4             212.146        0.497238
     3           7           7             211.176       0.0434884
     4           8           8             210.956               1
     5           9           9             210.917               1
     6          10          10             210.913               1
     7          11          11             210.913               1
     8          12          12             210.913               1
     9          13          13             210.913               1
 Optimizer Results
  Algorithm Used: Broyden-Fletcher-Goldfarb-Shanno (BFGS)
  Exit message : Line search cannot find an acceptable point along the current search direction
  Iterations : 10
  Function Count : 18
  Minimum found : 210.9131
  Intern Time : 0.012145 seconds
  Total Time : 46.1157 seconds
 Iteration  Func-count   Grad-count         f(x)         Step-size
     0           1           1             331.846    
     1           2           2             266.315       0.0137365
     2           4           4             212.334        0.467987
     3           7           7             208.034            0.05
     4           9           9             207.787        0.305239
     5          10          10             207.776               1
     6          11          11             207.774               1
     7          12          12             207.774               1
 Optimizer Results
  Algorithm Used: Broyden-Fletcher-Goldfarb-Shanno (BFGS)
  Exit message : Change in x was smaller than the specified tolerance TolX.
  Iterations : 8
  Function Count : 14
  Minimum found : 207.7743
  Intern Time : 0.009385 seconds
  Total Time : 45.9901 seconds

 gp hyperparameters: 
 
         0         0   -0.6931

Demo completed in 2.888 minutes
