prints Sampling (burning phase), even when in sampling phase

Example:
Session {
  Data: {
    Type: ScarceMatrixData [with NAs]
    Component-wise mean: 0.553379
    Component-wise variance: 0.0835968
    Noise: Fixed gaussian noise with precision: 5
    Size: 1510 [53 x 500] (5.69811%)
      Warning: 4 empty rows
      Warning: 2 empty cols
  }
  Model: {
    Num-latents: 96
  }
  Priors: {
    0: NormalPrior
    1: NormalPrior
  }
  Result: {
    Test data: 1510 [53 x 500] (5.69811%)
  }
  Version: v0.10.1-77-g648aff2
  Iterations: 5 burnin + 5 samples
  Save model: every 1 iteration
  Save prefix: save
  Save extension: .csv
}
-- Restoring model, predictions,... from 'save-sample-2-step.ini'.
Continue from Sample   2/  5: RMSE: 0.2658 (1samp: 0.3547)  U:[1.66e+01, 7.02e+01] [took: 0.0s]
  RMSE train: 0.3547
  Priors:
     NormalPrior: mu = 1.23447
     NormalPrior: mu = 0.678952
  Model:
      Latent-wise norm: 10.2648  11.236 9.37281 12.9369 17.6742 10.2634 13.1725 9.77759   11.44 19.0273 11.1766 9.03606 12.3078 8.46487 8.14518 24.0447 8.68508  6.6761 11.2122 11.4067 13.6704 11.0452 10.9256 6.78932 12.2974 10.5822 11.0663 14.3598 9.10776   11.27  10.631 11.5808 10.0175 11.6491 10.2443 12.5576 9.67108 12.3354  14.837 20.1253   10.74   18.18 9.73434 12.5679 11.5876 9.22031  10.949 12.7885 15.4504 11.3333 8.02911  10.616 11.1596 13.1086 9.04743 13.8475 9.96154 15.0868 8.49241 13.3302 10.2008 11.3018 10.7575 10.6238 8.52442 12.5331 11.3031 9.71241 11.5228    10.3 14.0916 11.8305 12.8465 14.7741 13.8744   12.09  9.1579 12.2905 10.3806 18.1984 10.6672 16.9226 12.7369 8.80055 12.9756 10.9125  12.494 12.0472 12.4668 11.4094 15.6391 7.42218   12.06   14.93 9.38192 9.88128
  Noise:
    Fixed: 5.000000
 ====== Sampling (burning phase) ====== 
Sample   3/  5: RMSE: 0.2314 (1samp: 0.3451)  U:[1.66e+01, 7.01e+01] [took: 2.6s]
  RMSE train: 0.3451
  Priors:
     NormalPrior: mu = 1.22474
     NormalPrior: mu = 0.72933
  Model:
      Latent-wise norm: 8.38203 9.36595 11.2502  12.419 15.0602 11.3171 13.5726 10.6229 11.4089 17.2352 10.7078 10.3493 10.8894  8.1637 8.85995 25.2152 10.2419 6.70152 11.8162 11.4615 14.0307 9.52641 11.8888 8.84412 11.0975 10.4177 10.3942 15.1524 8.84979 11.4091 8.04518 12.2024 10.2658 12.7718 13.0114 12.8696 10.5833 11.7024 15.6062 22.2572 11.0194  17.088 9.22588 12.7601 10.4836 10.0902 12.1887 15.1832  15.591 12.1099 8.48433 10.4179 10.0758 13.0153 7.97663 12.8944 9.40838 19.8342 8.51103  15.813 11.5858 9.00038 9.35022 9.67736 8.79347 11.6615 10.0342 8.04001  7.7564 11.9691 12.8621 12.3456 12.9106 12.9045 11.8716 11.1589 8.49735  11.258 10.9332 14.7795 10.4449 17.6518 10.2653 8.89358  13.397  11.498 13.4657 11.1451 13.7191 12.4999 12.6834 10.7822 13.3961 17.1901 11.1828  9.3163
  Noise:
    Fixed: 5.000000
-- Saving model, predictions,... into 'save-sample-3-step.ini'.
Sample   4/  5: RMSE: 0.2109 (1samp: 0.3438)  U:[1.66e+01, 6.97e+01] [took: 2.6s]
  RMSE train: 0.3438
  Priors:
     NormalPrior: mu = 1.39701
     NormalPrior: mu = 0.698638
  Model:
      Latent-wise norm: 6.99216  8.4878  8.8896 11.7763 15.7163 10.5367 12.7093 11.2659 10.8963 18.8031 9.91872 9.94462 11.2826 9.48734 8.72112 23.7393 8.34686 7.24188 11.1984 9.70952 15.2043 9.52641  11.237 7.99214 6.93569 10.2783 10.0021 13.6934 10.9582 10.9998 11.2742 11.1804 9.47113 13.7558  11.917 13.4706 9.89353 10.8263 14.6144 24.0057 12.5406 13.6255 7.85764 11.7324 9.88571 9.65513 11.4858 14.7386   13.98 11.5596 8.16642 10.0037 10.8198 15.2601 9.47954 11.0083 9.27388 21.3616 9.48322 17.6912 13.9005 10.8916 10.3898 11.5477  7.3112 10.4401  13.709 9.81603 10.0813 12.2179 10.5887 11.5315 10.3901 13.5274 10.1437 9.25655 8.28676  11.653 11.0895 14.4846  9.0475 20.1142 8.05152 9.08206 15.7838 11.7102  14.251 9.68402 15.5103 13.1779 9.55762 9.06313  15.426 15.7165 13.0232 7.94544
  Noise:
    Fixed: 5.000000
-- Saving model, predictions,... into 'save-sample-4-step.ini'.
Sample   5/  5: RMSE: 0.1977 (1samp: 0.3463)  U:[1.66e+01, 6.95e+01] [took: 2.7s]
  RMSE train: 0.3463
  Priors:
     NormalPrior: mu = 1.2204
     NormalPrior: mu = 0.710079
  Model:
      Latent-wise norm:  7.5156 8.99285 8.03059 13.6074  12.054 11.6107 11.8243 12.0377 10.4095 20.5684 10.7898 8.95576 11.2125 9.11516 11.0584 19.0895 8.35297 9.70597 11.5258 9.04782 12.2077 10.1099 13.3379 6.67215 8.34351 8.46578 9.14801 13.3677  10.944 9.15338 9.71927 9.42336 10.5458 13.3585 14.1477 12.1872 9.45335 10.1119  16.223 21.4717 12.6194 13.5452 7.46392 9.26566 9.57868 8.89645 12.4633 11.6332 15.9972 12.9109 8.22811 10.3275 9.02348 14.3175 10.0483 10.8585 7.56055 24.0142 10.4948 14.4365 12.2688 13.6831 8.30574 10.2409 7.18875 11.5162 14.1365 8.71982 11.2322 12.4238 12.0045 12.2905 11.7259  12.458 9.62371 8.83795 8.26937 10.8794 12.4291 16.0297 9.22876 19.5648 9.89128 11.4456 16.1384 12.4773 14.1323 8.12429 14.5413 16.3214 10.6732 10.6917 18.3711 16.5355 10.6108 8.94222
  Noise:
    Fixed: 5.000000
-- Saving model, predictions,... into 'save-sample-5-step.ini'.
ExaScience / smurff

prints Sampling (burning phase), even when in sampling phase #95
