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R83.log
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R83.log
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node102.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 [20.7264 19.7386 33.0373 6.88275 55.1427 49.9315 30.4498 6.38188 14.1764 30.5458 62.1095 5.65768 32.6246 53.6106].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.44747 0.07084 0.22888 -0.12363 0.2784 -0.22803 0.011745 0.019985 0.091433 0.19524 0.3634 -0.17619 -0.20655 0.12429].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.038319 0.023693 0.48758 0.17791 -0.051639 -0.17682 0.2035 0.17609 0.039328 0.026104 0.30156 0.087168 -0.0045957 0.20037].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.049502 -0.1909 -0.10832 -0.081788 0.037689 0.069879 -0.066712 0.11023 0.0082838 0.0054928 -0.00083707 -0.084776 -0.011245 0.4198].
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 [16.5792 17.2576 36.2089 5.60906 51.4679 33.2228 27.8849 9.74785 8.12295 32.3588 47.3464 9.61559 27.5197 22.1103].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.20809 -0.0751 0.11944 -0.005778 0.29642 0.38644 0.3267 0.15988 0.007289 -0.31369 0.0015173 -0.16256 -0.12651 -0.14433].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.028364 -0.079252 -0.29474 -0.014607 -0.014878 -0.067014 -0.14116 0.011307 0.0069028 -0.10065 -0.58965 -0.0011451 0.0054378 0.072833].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0012912 0.083056 0.0022648 -0.069394 0.027681 0.009916 0.33934 -0.063096 0.31255 0.063836 -0.43835 0.001304 0.0037532 0.063673].
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 [0.13795 0.31874 0.13002 0.38726 0.050407 -0.081788 0.076681 0.47328 0.097473 -0.19893 1.101 0.8317 0.19653 0.3786].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.11187 0.021165 0.23114 0.13272 0.12574 -1.9407e-05 -0.04492 0.045849 -0.41294 -0.052087 -0.25998 -0.14531 -0.088388 0.087305].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0016905 -0.052748 -0.1182 -0.17685 0.1948 -0.11081 -0.04145 0.14011 0.091264 -0.41075 0.067123 -0.0067257 0.38882 0.03263].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.014419 -0.28972 -0.018282 -0.0071415 -0.1444 0.10969 0.018483 -0.32688 0.0045667 0.071799 -0.16829 0.13143 -0.12961 0.041261].
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 [0.14625 -0.11975 -0.013822 0.077398 -0.1373 1.458 0.073798 0.49094 0.1916 0.17897 0.91534 0.0025214 0.8508 0.1454].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.36513 -0.0050532 -0.51251 0.42461 0.05072 0.49959 0.30772 -0.076542 0.071531 0.54927 0.41011 0.056948 -0.113 -0.07306].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0074984 0.013505 -0.022052 0.033099 0.20745 0.10415 -0.11286 0.13385 -0.04267 0.33332 -0.27683 0.095585 0.047577 -0.4368].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.035787 0.011941 -0.093806 0.13814 -0.012512 -0.050462 0.17168 -0.022012 -0.082541 -0.067943 -1.4387 0.41417 0.33102 -0.77553].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.014215 -0.002325 0.13303 0.007581 0.068533 -0.00035986 -0.074988 -0.20511 0.069103 0.0058745 0.28891 -0.25638 -0.079702 0.12218].
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 [-0.5174 0.5078 -0.028409 -0.069138 0.27232 0.0072517 -0.048336 0.40271 0.16272 -0.19291 0.18209 0.45246 -0.08925 0.20551].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.14183 -0.0012713 0.018257 0.095735 -0.32475 -0.81267 -0.11128 -0.15947 0.011749 -0.17776 0.45684 -0.011795 -0.16175 -0.11607].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.11769 0.53571 -0.39954 -0.11763 0.131 -0.22083 0.10268 -0.080655 -0.16512 -0.64545 0.051991 -0.14774 -0.1351 0.10945].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.084566 0.020464 0.13514 0.0060177 -0.056328 0.11635 -0.14187 0.29734 -0.018771 -0.046161 0.10575 0.058699 -0.36152 0.60098].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.057353 0.0079456 -0.14436 0.066712 -0.075306 -0.4723 -0.10342 -0.18953 0.021535 0.079536 0.16829 -0.43975 0.32807 -0.06742].
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 [-0.74668 0.66244 -0.028949 -0.13213 0.0011156 -0.15576 -0.096043 -0.16836 0.88247 0.072498 0.33563 0.6463 -0.10726 -0.051156].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.23976 -0.0091752 -0.057139 0.37156 0.45234 0.10768 -0.040721 0.11884 0.15147 0.35172 0.044516 0.043173 -0.24876 -0.095638].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.018825 -0.034832 -0.12241 -0.079484 0.17127 0.39663 0.21135 0.30433 -0.012072 0.13344 0.045397 0.058881 -0.16532 0.0013135].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.00069324 0.029524 0.17902 -0.020676 -0.24309 0.054069 0.040574 -0.33738 0.040241 -0.90756 0.062469 0.19712 0.20181 -0.056928].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.047499 0.001247 -0.61184 0.059137 0.092443 -0.018782 -0.23665 0.017305 0.01344 -0.043751 -0.096232 0.073404 -0.099884 0.40706].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0035098 -0.02 -0.0028174 -0.039738 0.17447 0.025015 0.16823 -0.28608 -0.058517 -0.11601 -0.10805 -0.17128 -0.080178 -0.21836].
# Parameters are learned. Sampling algorithm is now running...
-------------------------------------------------------------------------------------------
# Results and figures are being stored...
Done.
Results and figures are stored in Outputs/R83_d18O_stack.
-------------------------------------------------------------------------------------------
>>