R50.log

node52.podcluster

                            < M A T L A B (R) >
                  Copyright 1984-2021 The MathWorks, Inc.
             R2021b Update 1 (9.11.0.1809720) 64-bit (glnxa64)
                              November 2, 2021

[Warning: Unrecognized command line option: nospxlash.] 
 
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>> Starting parallel pool (parpool) using the 'local' profile ...
Connected to the parallel pool (number of workers: 40).
>> Number of workers: 40
>> >> >> >> >> >> -------------------------------------------------------------------------------------------
## BIGMACS: Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals
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## Stack construction algorithm is now running...
#  Initializing...
   Data are loaded successfully.
   Initializing the age samples...
   Done.
#  Stacking algorithm is now running...
#  Iteration 1:
   Ages are sampled.
   Parameters are updated.
   Updating parameters makes the average log-likelihood of samples increased by [121.8473      73.40362       194.612        17.681        96.337      18.32055      13.34859      143.6182      294.4515      66.13215      32.08703       326.467       168.338      229.3988      308.6121].
   Ages are sampled.
   Parameters are updated.
   Updating parameters makes the average log-likelihood of samples increased by [0.1733   -0.086501     0.16446   -0.028677     0.10358    0.048231   -0.023941     0.15103     0.17256     0.15018    0.064298     0.29583   -0.031811   -0.048008     0.38752].
   Ages are sampled.
   Parameters are updated.
   Updating parameters makes the average log-likelihood of samples increased by [-0.083698    0.062873   -0.010415   -0.051602    0.019829    0.016152   -0.026392     0.18614   -0.018722 -0.00024845  -0.0019275     0.18725   -0.056815    0.052056     -0.1681].
   Ages are sampled.
   Parameters are updated.
   Updating parameters makes the average log-likelihood of samples increased by [-0.087748     0.13339   0.0016713     0.12028      0.1796    0.013009    0.004907    0.098064     0.04378  -0.0081022   -0.049275   -0.036474   0.0033823     0.50492    0.058953].
   Ages are sampled.
   Parameters are updated.
   Updating parameters makes the average log-likelihood of samples increased by [0.061492   -0.097561    0.033867     -0.0385    -0.18334    0.042973    0.013824    0.019702   -0.022242  -0.0085249    0.023778    0.010071   0.0037143    0.011483   0.0082885].
   Records are aligned to the target stack.
   Iteration 1/10...
   Iteration 2/10...
   Iteration 3/10...
   Iteration 4/10...
   Iteration 5/10...
   Iteration 6/10...
   Iteration 7/10...
   Iteration 8/10...
   Iteration 9/10...
   Iteration 10/10...
   A new stack is updated.
#  Iteration 2:
   Ages are sampled.
   Parameters are updated.
   Updating parameters makes the average log-likelihood of samples increased by [110.0374      44.72455      220.1711      21.53399       64.9094      23.58869      54.18192      112.5125      205.8084      43.12836      20.75236      232.3173        136.86      125.5999      217.3039].
   Ages are sampled.
   Parameters are updated.
   Updating parameters makes the average log-likelihood of samples increased by [0.37793    0.041592    0.073333    0.043373     0.13754     0.13393    0.025645     0.33648       0.201   -0.013109   -0.055383      0.1965    0.065869     0.57329     0.72827].
   Ages are sampled.
   Parameters are updated.
   Updating parameters makes the average log-likelihood of samples increased by [0.00065638     0.15732     0.05391     0.04373    0.036558   -0.054334   -0.040051     0.49658     0.23826    -0.16084   0.0012797   -0.085232    0.017103   -0.066691     0.24832].
   Ages are sampled.
   Parameters are updated.
   Updating parameters makes the average log-likelihood of samples increased by [0.010354   0.0094047    0.067312  -0.0091393   -0.015039    0.028468    0.027964    0.030353     0.25534   -0.024875    0.053894   -0.010861  -0.0045304     0.24143     0.13989].
   Records are aligned to the target stack.
   Iteration 1/10...
   Iteration 2/10...
   Iteration 3/10...
   Iteration 4/10...
   Iteration 5/10...
   Iteration 6/10...
   Iteration 7/10...
   Iteration 8/10...
   Iteration 9/10...
   Iteration 10/10...
   A new stack is updated.
#  Iteration 3:
   Ages are sampled.
   Parameters are updated.
   Updating parameters makes the average log-likelihood of samples increased by [-0.27746    0.010931     0.47804  -0.0011258    0.085405     0.10589    0.074723     0.10431      0.1788    -0.12879   0.0019723     0.49334    -0.22104     0.28903    0.080468].
   Ages are sampled.
   Parameters are updated.
   Updating parameters makes the average log-likelihood of samples increased by [0.014396    0.028801     0.61795     0.06274   -0.022346     0.19354    0.023848    0.079818    -0.55973    0.064023  8.8376e-06    0.016535     0.25879    -0.16929    0.044643].
   Ages are sampled.
   Parameters are updated.
   Updating parameters makes the average log-likelihood of samples increased by [-0.28924   -0.088632     0.26583    0.069053    0.028175     0.11311   0.0068532  -0.0011303     0.10005   -0.045652   -0.055277    -0.17041    -0.33902     0.16709   0.0079223].
   Ages are sampled.
   Parameters are updated.
   Updating parameters makes the average log-likelihood of samples increased by [-0.24868    0.012747    0.035223     0.14999    -0.09195      0.1667   0.0069099   0.0090635    0.080083    -0.21155    0.047429    0.015888  -0.0080896     0.26984   0.0089288].
   Records are aligned to the target stack.
   Iteration 1/10...
   Iteration 2/10...
   Iteration 3/10...
   Iteration 4/10...
   Iteration 5/10...
   Iteration 6/10...
   Iteration 7/10...
   Iteration 8/10...
   Iteration 9/10...
   Iteration 10/10...
   A new stack is updated.
#  Iteration 4:
   Ages are sampled.
   Parameters are updated.
   Updating parameters makes the average log-likelihood of samples increased by [0.003429     0.03679   -0.072543     0.18043   -0.081281    -0.03578    0.012136    0.036615     0.10371     0.18461    0.073225    -0.10662    -0.10333    0.068546    0.016203].
   Ages are sampled.
   Parameters are updated.
   Updating parameters makes the average log-likelihood of samples increased by [-0.034895     0.22749    -0.31108   -0.023919     0.31884  -0.0043151    0.024093    0.045602    -0.07288    -0.11758     0.11584    -0.16616     0.14625     -1.9591   -0.032492].
   Ages are sampled.
   Parameters are updated.
   Updating parameters makes the average log-likelihood of samples increased by [-0.00027173      0.3645    0.028908  -0.0016657  -0.0061141   -0.070065   0.0068693    0.068897   -0.016414     0.13702    0.022459    -0.14736     -0.2221     0.38695    0.015414].
   Ages are sampled.
   Parameters are updated.
   Updating parameters makes the average log-likelihood of samples increased by [-0.005157  -0.0096851    -0.11652    0.012693     0.03103    -0.21316   -0.011557    -0.12753   -0.034624    -0.05341   0.0027985    0.011135    0.066843    0.023956    0.020617].
   Records are aligned to the target stack.
   Iteration 1/10...
   Iteration 2/10...
   Iteration 3/10...
   Iteration 4/10...
   Iteration 5/10...
   Iteration 6/10...
   Iteration 7/10...
   Iteration 8/10...
   Iteration 9/10...
   Iteration 10/10...
   A new stack is updated.
#  Iteration 5:
   Ages are sampled.
   Parameters are updated.
   Updating parameters makes the average log-likelihood of samples increased by [0.24888     0.18424     0.25577    -0.09149     0.10125    0.039149  -0.0075561    -0.27358     0.31891  0.00016786  -0.0078119     0.61316    0.079941    -0.01355     0.12018].
   Ages are sampled.
   Parameters are updated.
   Updating parameters makes the average log-likelihood of samples increased by [-0.042345   -0.009751   -0.045441    0.017806    0.040822    -0.10824 -0.00022863    0.052776    -0.48418    -0.11101   -0.026213    0.032149     0.11219    -0.09649   -0.015644].
   Ages are sampled.
   Parameters are updated.
   Updating parameters makes the average log-likelihood of samples increased by [-0.35926  -0.0071071     0.51405    0.023396  -0.0012667     0.19459     0.02171    0.067021    -0.13183  -0.0095621    0.044269   -0.041606    0.087088    0.045928   -0.013819].
   Ages are sampled.
   Parameters are updated.
   Updating parameters makes the average log-likelihood of samples increased by [0.38151    -0.12808    -0.20024   -0.016005   0.0051432   -0.010685    -0.10397  -0.0024043     0.05658    -0.12956    0.098409    -0.10397    -0.04668     0.12131     0.27246].
   Records are aligned to the target stack.
   Iteration 1/10...
   Iteration 2/10...
   Iteration 3/10...
   Iteration 4/10...
   Iteration 5/10...
   Iteration 6/10...
   Iteration 7/10...
   Iteration 8/10...
   Iteration 9/10...
   Iteration 10/10...
   A new stack is updated.
   Done.
#  Age model construction algorithm is now running...
#  Iteration 1:
   Ages are sampled.
   Parameters are updated.
   Updating parameters makes the average log-likelihood of samples increased by [0.012412    0.029807    0.024937    -0.01248  -0.0074559    0.043946   0.0045567    0.082667    0.071306     0.13536    0.031402 -0.00054442    0.091492    0.076888     0.28938].
#  Iteration 2:
   Ages are sampled.
   Parameters are updated.
   Updating parameters makes the average log-likelihood of samples increased by [0.05811    -0.01611    -0.16947    0.094992    0.077601    0.025547  -0.0031293   -0.042442   -0.036521    0.065944    -0.10152     0.13989   -0.069353     0.12271    0.063028].
#  Iteration 3:
   Ages are sampled.
   Parameters are updated.
   Updating parameters makes the average log-likelihood of samples increased by [-0.045435   0.0065236      0.0401     0.28492    -0.06166      0.1671    0.035058   -0.049334    0.025722   -0.048285    0.012667    0.016506    -0.26605    -0.30341     0.13236].
#  Iteration 4:
   Ages are sampled.
   Parameters are updated.
   Updating parameters makes the average log-likelihood of samples increased by [-0.11122   -0.024992     0.19967   -0.015999    0.026238    0.036861    0.010049   -0.099347   -0.008504   -0.090241   -0.051671    0.074035     0.15564     0.31459    0.037645].
#  Parameters are learned. Sampling algorithm is now running...
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#  Results and figures are being stored...
   Done.
   Results and figures are stored in Outputs/R50_d18O_stack.
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>>