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R50.log
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R50.log
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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.]
To get started, type doc.
For product information, visit www.mathworks.com.
>> 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
-------------------------------------------------------------------------------------------
## 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...
-------------------------------------------------------------------------------------------
# Results and figures are being stored...
Done.
Results and figures are stored in Outputs/R50_d18O_stack.
-------------------------------------------------------------------------------------------
>>