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R12.log
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node4.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 [32.94646 37.88196 25.58047 8.569971 38.37731 19.92212 15.57503 14.73724 22.42317 13.51391 23.17133 38.84157 11.09371 36.63148 24.07758 61.64552 129.6438 17.66495 14.44416 6.179731 41.69349 3.128745 90.74293 58.88249 4.268405 66.99442 36.49217 8.969851 6.379179].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.099676 0.69226 1.1758 -0.10762 0.090562 0.89002 -0.044994 0.52406 -0.030304 0.31652 -0.58536 0.82507 0.087642 0.73108 0.051616 2.0979 1.4515 -0.015175 0.16681 0.012308 0.19987 -0.054786 6.6259 -1.0433 -0.25823 1.8375 0.39757 0.11868 0.14273].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.083611 -0.5254 0.45043 -0.011501 0.34766 -0.25057 -0.005411 0.11179 -0.15535 0.16007 0.24754 -0.022619 -0.01725 0.13407 -0.046308 0.20187 0.045216 0.38191 0.1725 0.0023517 -0.066689 0.011929 -0.30228 0.015351 -0.0085027 0.15249 0.11718 0.026857 0.12479].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.12014 -0.0026384 0.23397 -0.0038987 -0.077019 0.0081763 -0.36576 0.071764 -0.068274 -0.11122 -0.058752 -0.080533 -0.080113 -0.042016 -0.028253 0.10283 0.074989 -0.19665 -0.072495 0.021636 -0.0017464 0.0067561 0.31203 -0.013241 -0.0081162 0.00051261 0.17615 -0.023399 0.013499].
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 [17.2254 45.9528 30.434 3.34224 50.1491 15.3479 29.7944 12.7075 15.5314 36.0008 3.2505 51.1466 44.0749 46.8654 40.0298 67.004 69.8478 39.8507 13.5212 0.917241 33.9619 4.31038 29.904 22.8953 5.63885 54.2861 42.3175 62.1538 4.61276].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.40223 1.1022 0.82848 0.32686 1.7107 0.58394 0.66509 0.30148 0.87825 2.8637 -0.14708 4.2137 2.502 0.5995 0.51621 6.9662 4.3415 2.5525 -0.23328 0.026199 0.39857 0.0004767 0.95197 1.1697 0.37105 -0.84327 0.88166 0.036671 0.52598].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.015728 -0.46944 0.71482 -0.032067 0.30319 0.06561 0.15298 -0.15858 -0.090692 0.15934 0.49204 -0.40919 0.032148 -0.097265 1.4222 0.82623 1.0942 0.18876 0.0030623 -0.029222 0.011456 -0.0082763 0.060247 0.1755 0.042944 0.5713 -0.62335 0.21066 0.34308].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.029309 0.99286 -0.48938 0.053443 0.0056431 0.54434 0.11321 0.18101 0.014293 -0.30821 -0.14602 -0.21301 0.0018723 0.028016 0.056942 0.19997 0.14787 -0.078372 -0.11454 -0.0014086 -0.038291 -0.053614 0.095066 -0.012866 -0.01619 0.043334 -0.34456 0.32818 -0.24829].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.040246 -0.059758 0.48897 0.15173 -0.061695 -0.071259 -0.11932 -0.0020096 0.0072823 0.056213 0.22175 -0.18784 0.020368 -0.08138 -0.035076 -0.012247 -0.016524 -0.17771 0.15771 0.00076007 0.091529 0.0183 -0.16798 0.02597 0.045649 -0.0012855 0.255 -0.20465 0.1422].
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 [0.2777 -0.28807 0.7427 0.0031527 -0.01596 -0.10722 0.28668 -0.11886 0.17043 0.28256 0.063216 0.97263 -0.40031 0.01313 0.17959 0.96457 0.054626 -0.32394 0.019299 0.015754 0.020565 -0.015942 0.00055441 -0.17897 0.057854 0.24893 -0.17918 1.4538 0.28419].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.071146 1.2899e-05 -0.0026232 -0.00049474 0.058619 -0.30265 0.22136 0.017206 0.059724 0.0061064 -0.11368 0.35941 0.062955 -0.0088307 0.022299 0.58004 0.49609 -0.049584 0.13841 0.0018312 -0.53373 0.015272 0.56033 0.027436 -0.19293 -0.10996 -0.07866 -0.026973 -0.018227].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.012553 -0.14657 -0.3526 0.10039 0.75283 -0.0023119 0.0043243 0.016502 -0.048337 0.025079 0.005759 0.13043 -0.11041 -0.084632 0.0078115 -0.28938 -0.034474 -0.004417 -0.074242 -0.00028668 0.0075359 -0.011569 0.33036 -0.088804 -0.018458 0.056027 0.12757 -0.52909 0.32592].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.015953 -0.18833 -0.023137 0.0040718 -0.34263 0.096267 0.09516 -0.014521 0.054579 0.12688 -0.073793 0.18247 0.026895 0.023611 -0.099081 0.11003 -0.127 -0.015803 0.095273 -0.00039308 0.77785 -0.061161 -0.10454 -0.25383 -0.0022533 -0.18758 -0.10432 -0.11006 -0.026871].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.037276 0.020992 -0.21329 -0.00040194 0.040238 0.0065302 -0.14644 0.095105 -0.04913 -0.012334 -0.017994 -0.27382 -0.09672 -0.031801 -0.089966 -0.33456 -0.12287 0.031934 0.00078192 -0.025212 -0.12634 0.060149 0.00056339 0.24659 -0.018393 0.091329 0.095418 0.090615 0.028954].
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 [-0.31364 0.0069713 0.045319 -0.024862 -0.043338 0.32153 0.074843 0.16715 0.032691 0.097766 -0.021207 -0.27234 -0.010617 0.084389 -0.45407 -0.056078 0.61808 0.11722 -0.12728 -0.017095 0.26547 0.055002 -0.62327 0.1573 0.010404 -0.088453 0.05978 0.18663 0.4506].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.014903 0.13797 -0.084835 -0.095452 -0.14981 0.40317 -0.012754 0.18204 0.01369 -0.21013 -0.035674 -0.21301 -0.72539 0.077254 0.038416 -0.10668 -0.056 -0.011588 -0.065574 0.014772 -0.03446 -0.0025188 -0.024308 -0.095256 -0.023638 0.082879 -0.0017449 -0.13259 -0.060198].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.38279 0.022736 0.13017 -0.10926 -0.11112 0.00073925 -0.045862 0.087202 0.29355 0.22614 0.022769 0.037798 0.049488 -1.0194 0.14038 0.43241 -0.47618 -0.019429 0.0085032 -0.022076 -0.6631 -0.040186 0.030822 -0.62061 -0.17215 0.26659 -0.024513 0.44942 -0.019046].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.46508 0.055693 -0.067766 0.10454 -0.23336 0.030271 0.37398 0.026912 -0.032223 0.18996 -0.29382 -0.12855 -0.017566 -0.8845 -0.3873 0.041121 0.067248 0.010882 0.10846 -0.0089229 0.02677 -0.00066053 0.0095437 -0.08829 -0.0081223 0.15804 -0.074087 0.063964 -0.049807].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.037359 -0.039784 0.077894 0.015963 0.22731 -0.14597 -0.09517 -0.0013447 -0.26079 -0.35278 0.32166 0.18653 0.038631 -0.028927 0.1123 -0.13274 0.024749 0.060511 -0.20373 0.010431 0.055064 -0.093008 -0.49551 0.091538 0.0050503 0.0011902 0.078632 -0.033892 0.4186].
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 [0.092806 0.093877 0.052854 -0.079753 0.12507 -0.1154 0.0078042 0.067726 0.089156 -0.42278 -0.14424 0.094495 0.059953 -0.022071 -0.31828 0.15264 -0.30002 -0.083495 0.098555 0.035543 -0.089272 0.073421 0.68897 -0.13577 0.038144 0.076453 -0.88956 0.69346 -0.10645].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.019014 -0.05323 0.070141 -0.088639 0.013022 -0.11793 -0.10959 -0.079663 -0.094702 -0.002403 -0.012926 0.050464 -0.05317 -0.0059347 -0.19363 0.01624 -0.14694 -0.054807 -0.086488 -0.010982 0.0099665 0.029424 -0.48205 0.0013716 0.0020877 -0.011852 0.14437 -0.055631 0.096293].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.41731 -0.013801 0.042956 0.021153 -0.024361 -0.011214 -0.0041956 0.040235 0.20226 -0.014883 0.265 -0.24426 0.10327 -0.44878 0.04526 0.031217 -1.0346 -0.060158 -0.065475 0.0010919 -0.12531 -0.0077161 0.21453 -0.15845 -0.016457 0.03471 0.044675 -0.14887 -0.0098036].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0786 -0.02118 -0.23589 0.06234 -0.014475 0.075196 -0.11075 -0.0002894 0.064112 0.044203 0.012008 -0.095221 -0.53156 -0.021477 -0.051494 -0.27116 0.090686 0.11038 0.038326 -0.036452 -0.17115 -0.11232 0.016866 -0.20154 0.0055527 -0.0063995 -0.4411 -0.60976 -0.0059543].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.081301 0.085085 0.086318 0.01839 -0.00016323 -0.0029784 0.10292 0.0011838 0.70814 -0.13063 -0.052948 -0.66253 0.10424 -0.040954 -0.026889 0.21973 -0.023434 -0.083942 -0.0074622 -0.083961 -0.27393 0.048008 -0.14926 -0.085561 -0.005185 -0.14625 0.3715 -0.045267 0.015747].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0048658 -0.45755 0.19214 0.0030855 0.12004 -0.030006 0.0047708 -0.001317 0.35569 0.044408 -0.00083552 -0.079744 -0.10256 0.065045 0.013014 -0.13462 0.023144 0.011544 0.007632 0.07581 0.044229 0.15769 0.093168 -0.0090348 0.0036192 0.08511 0.14928 0.025104 -0.02791].
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 [0.22671 -0.31965 0.080409 0.02634 0.12418 -0.018462 0.00050763 0.015295 0.19235 -0.2242 -0.20201 -0.17536 0.27342 0.041062 -0.038924 0.09639 -0.04875 0.0606 -0.40931 -0.025086 -0.19664 -0.017224 0.10277 0.20096 0.011601 0.14721 0.072641 0.22541 0.36985].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.066417 0.039578 0.0083649 0.091335 -0.14445 -0.063795 0.018182 -0.089414 0.016325 0.18879 -0.15672 0.0028536 0.33752 -0.4078 -0.17626 0.0018936 0.10217 -0.0093429 0.20744 -0.056505 -0.00024574 -0.048235 0.040118 0.026522 0.15916 -0.14317 0.075787 -0.36722 0.19398].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.047694 -0.022603 0.036435 0.42142 -0.44142 0.60024 0.027338 0.1266 -0.0085286 0.027349 0.0061374 -0.079834 -0.43254 0.040771 0.20111 -0.0042083 -0.013682 -0.0092732 -0.037531 0.045897 -0.11446 0.083832 -0.23035 -0.074728 0.21427 0.32988 -0.11471 1.1663 -0.013757].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.17439 0.13964 -0.034362 -0.0055706 0.71954 0.36661 -0.015524 -0.07168 -0.036409 -0.0043037 -0.030116 0.087377 -0.067537 0.062992 -0.76345 0.013458 0.15187 0.24776 -0.020438 -0.0041224 0.13917 -0.0099244 0.027388 -0.019869 0.050675 -0.045393 -0.006025 0.19989 -0.1307].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.11055 0.42445 -0.013219 -0.022868 0.038751 0.13467 0.03829 0.17883 0.042074 -0.14461 0.028648 -0.037356 0.18194 0.025714 -0.21923 -0.090332 0.28676 0.0047404 0.036171 0.030218 0.89986 0.0056678 -0.025016 0.012115 0.038207 -0.033228 0.0003334 0.23841 -0.089758].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.19639 -0.15405 0.046505 0.030527 0.0061805 -0.10644 0.054329 -0.019593 -0.0052207 -0.31164 0.0061248 0.011653 -0.0017605 0.0064291 -0.0562 -0.48777 -0.12897 -0.0051037 -0.060691 -0.027403 -0.1191 -0.0061121 0.018946 0.0075581 -0.028013 0.037263 -0.0078004 -0.073133 -0.096692].
# Parameters are learned. Sampling algorithm is now running...
-------------------------------------------------------------------------------------------
# Results and figures are being stored...
Done.
Results and figures are stored in Outputs/R12_d18O_stack.
-------------------------------------------------------------------------------------------
>> >> {Error using toc
You must call TIC without an output argument before calling TOC without an
input argument.
}
>>