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R76.log
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node103.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 [27.20678 16.75211 20.40292 6.196427 12.54635 16.20638 13.15171 5.970821 8.690998 88.10733 16.65385 10.27988 6.030835 11.30084 17.89732 0.1910876 36.86299 43.08099 55.22924 15.79546 23.77198 27.02498 181.7267 61.22772 49.1596].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.20196 0.035606 0.27233 0.5664 -0.21749 0.19943 0.25844 0.0077945 0.29191 -0.8015 -0.067257 0.18597 0.20769 0.090189 1.7284 0.041816 0.35343 -0.38355 -0.023763 0.52429 0.18398 -0.0025771 -0.19588 0.4185 0.10019].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.048674 -0.059008 0.093419 0.0070405 -0.064875 -0.074438 -0.0092108 0.098714 0.18657 -0.8756 -0.0065499 -0.020362 0.010002 -0.10251 0.11329 0.094689 0.090698 0.076085 -0.055194 0.078554 -0.10828 0.062833 -1.1428 -0.03458 -0.17449].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.057278 -0.10886 0.017558 0.32538 0.032155 -0.48006 0.06305 0.01204 -0.016123 -0.40032 0.0080845 -0.02181 0.042723 0.16567 -0.13885 -0.069374 0.037059 -0.014613 0.14877 0.00023762 -0.25259 -0.0098992 -0.012459 0.017642 0.45312].
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 [23.29193 29.04036 27.44181 18.60212 18.6421 19.75165 27.03445 18.64936 19.43476 40.61137 25.34873 6.120726 2.094394 10.66534 13.81234 10.1825 24.69625 40.46998 24.0655 27.61958 16.23041 51.99434 173.5991 48.21836 27.28237].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.011279 3.0217 1.0171 0.91356 0.88939 0.3297 1.392 1.619 1.322 3.3398 1.5208 0.095455 -0.094541 0.55394 -0.37424 -0.031442 -0.79301 1.0599 0.42007 0.46579 0.20226 0.26389 5.2802 1.5163 0.67537].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.048609 0.65228 -0.21177 -0.051291 0.23789 -0.0012782 0.6849 -0.068506 0.32784 -0.11399 0.77609 -0.027228 -0.18202 0.22671 0.0051062 0.205 0.006541 -0.08842 -0.16768 -0.038273 0.14093 -0.051396 0.15703 0.29868 0.0039763].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.083738 -0.058014 0.058502 0.27623 -0.045559 -0.10913 -0.26707 -0.49525 0.012238 0.29018 0.020689 0.0031424 0.072151 0.0047542 0.32806 0.22849 -0.098781 0.042845 0.16782 0.0090666 -0.10729 -0.083419 0.92251 -0.045497 -0.078165].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.061759 0.1331 0.022961 0.095327 0.2953 0.29868 0.28083 0.0075523 -0.0081223 0.0071482 0.055044 -0.019785 -0.093664 -0.071873 -0.15193 0.017088 0.0029804 0.031776 -0.053183 0.027803 0.13295 0.084178 0.51625 0.047987 -0.084315].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.035763 -0.008098 -0.15508 0.079903 -0.14909 -0.33598 -0.58912 0.086294 -0.012529 -0.20737 -0.094945 -0.035727 0.041894 0.060456 0.31648 -0.18228 0.086947 -0.12666 0.010668 -0.12714 -0.28188 0.010752 -0.11442 -0.30846 0.34505].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0080848 0.0045037 0.08544 -0.045457 0.17188 -0.19167 -0.041985 0.56456 -0.022841 0.10423 -0.14319 0.0039678 0.011863 0.0090649 -0.073741 0.040994 0.011123 0.12704 0.078951 0.088067 0.2873 -0.05068 0.037255 0.31004 0.04412].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.082362 -0.047386 0.03563 -0.12689 -0.17297 0.13222 0.063171 -0.12117 -0.10102 -0.10167 -0.033439 -0.027629 -0.0088173 -0.010312 0.08713 0.0035469 -0.013436 -0.027712 0.1126 -0.031588 -0.0080462 0.0031335 0.0033023 -0.12647 -0.44377].
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 [0.55365 0.14528 0.1018 0.11663 0.048673 0.22532 0.42557 0.077676 0.032779 -1.7174 0.50454 -0.044469 -0.020726 0.35605 0.1263 1.4832 0.11602 0.29638 0.078473 -0.11293 0.5291 0.032753 1.3901 -0.065523 -0.014392].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.41942 0.25089 -0.20297 -0.0063106 -0.134 0.031495 -0.095275 0.30002 0.046798 0.058426 -0.51191 0.054761 0.18402 -0.10417 0.15989 0.15042 0.56501 -0.32808 -0.2223 -0.010052 -0.03177 -0.16933 0.062608 -0.30795 0.47182].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.16031 -0.085114 -0.033786 0.1514 0.014915 0.2458 0.2013 0.050755 0.035802 -0.0034939 0.19286 -0.014296 0.032116 0.013393 0.32223 0.72564 -0.026388 0.16791 0.21432 0.073846 -0.57117 -0.0095629 0.48449 -0.0072889 -0.16018].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.021025 -0.15113 -0.090005 0.27028 -0.084091 0.048613 0.11701 0.37299 0.029022 -0.95143 0.35908 0.030174 0.058604 -0.011091 0.13651 0.22984 0.20933 -0.29559 0.019766 0.027693 -0.21816 0.79055 0.35116 -0.15767 -0.49559].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.13029 0.18554 0.062975 0.0017661 0.16829 -0.22437 -0.26131 0.084457 -0.23488 0.39524 -0.020613 -0.00046975 -0.075126 -0.0090877 -0.1941 0.033845 0.00042712 0.44436 0.11723 -0.10996 0.2438 -0.010392 -0.1319 0.18689 0.16942].
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 [0.016978 -0.028447 0.12735 0.11657 -0.024605 0.015 -0.13038 0.075112 0.04294 -0.064977 -0.096633 -0.11295 0.26909 0.37413 0.060583 1.16 0.083976 0.18516 -0.025705 0.039313 0.016779 0.053112 0.79004 0.17176 0.16282].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.049689 -0.0089909 0.054165 -0.026164 0.0026682 -0.37764 0.0059462 0.20851 -0.020005 -0.25376 0.144 0.044218 0.01012 0.029477 0.15279 0.10085 -0.0039775 0.042717 0.0075429 -0.15201 -0.086581 0.068195 0.12527 -0.46664 0.062927].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.33761 0.00091683 0.48797 0.047521 0.041422 0.00013387 -0.26153 -0.27757 0.12524 -0.010435 0.2345 -0.023627 -0.16734 -0.21525 -0.41147 -0.2748 -0.30422 0.044775 -0.070813 -0.076384 0.12993 0.18867 -0.1173 -0.19904 0.49111].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.075433 -0.046094 -0.71844 -0.0054138 0.30026 -0.24761 -0.24705 -0.041696 -0.16849 0.14621 -0.012172 -0.019151 0.014583 0.014497 -0.30437 0.48734 0.062273 0.38642 -0.364 -0.093337 -0.18439 0.070541 0.60367 0.19257 0.2387].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.050645 0.033363 0.69938 -0.033516 -0.079141 0.24295 0.30539 0.012542 0.19028 -0.031181 -0.070438 -0.015392 0.024785 0.012655 0.34766 -0.21428 -0.24316 0.63633 0.28494 -0.069697 0.28968 -0.033979 -0.84793 -0.11582 0.097119].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0046764 -0.13047 -0.046666 0.057055 -0.013455 0.015439 0.022095 -0.05592 -0.078728 -0.15389 0.073583 -0.027042 -0.043412 -0.28871 0.02512 -0.03151 0.13216 -0.094303 -0.032774 0.043798 0.045261 0.02309 0.1179 -0.10023 0.025801].
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 [0.022365 0.021217 0.0063567 -0.059359 0.12143 0.14154 0.152 0.038154 -0.057517 -1.103 0.51699 -0.62837 -0.18442 -0.15352 0.12445 1.9347 -0.10651 0.12587 0.16933 -0.019146 0.092593 -0.010073 0.59297 -0.17999 0.25632].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.088337 -0.022399 0.013916 -0.21676 -0.013786 0.10695 -0.004514 -0.0026212 0.047236 -0.0057578 -0.090513 -0.032008 0.072883 -0.041471 -0.01828 -0.067324 0.077929 0.10301 0.017236 0.0040356 -0.1096 0.092988 0.44089 -0.053773 0.18074].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.031204 0.0043713 -0.02302 -0.078687 -0.11548 0.089508 0.32069 -0.016908 -0.016 0.086249 -0.072922 -0.019009 0.08751 -0.16033 -0.07952 0.29988 -0.027194 0.073073 -0.013392 0.22118 0.0198 0.033661 -0.047861 -0.065797 -0.96497].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.1665 -0.1136 0.085886 -0.035292 -0.073925 -0.0059923 -0.012646 -0.0034853 0.023261 -0.053015 0.14356 -0.038313 -0.26469 -0.035174 0.0019545 0.086312 -0.22479 0.032039 -1.0347 0.043239 0.020209 0.10216 -0.21246 -0.16678 0.44779].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0088175 0.11263 0.0051654 -0.074911 0.091709 -0.050784 -0.0051543 0.0045931 0.0068406 -0.17644 -0.15558 0.024965 -0.058544 0.10825 -0.038173 -0.01336 0.49899 0.38657 0.23733 -0.032911 -0.21236 0.02263 0.10837 0.60144 0.15887].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0039757 0.008154 -0.021847 0.098957 -0.19952 0.060252 0.020424 -0.0024662 0.021323 0.25459 0.15486 0.00086119 0.37452 -0.19283 -0.80411 0.1585 0.17393 -0.62455 0.044604 0.057566 0.23003 -0.030609 -0.0037648 -0.099718 -0.95424].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.056097 -0.001021 -0.075531 0.061631 0.16946 -0.078145 -0.013634 -0.058697 -0.15386 -0.04477 -0.010782 -0.030976 -0.085931 0.034995 1.0577 -0.15036 -0.080225 0.053631 0.012258 -0.12799 -0.18646 0.029237 -0.15364 0.080817 0.19806].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.2175 -0.066093 0.090601 -0.36451 -0.065761 0.0040326 -0.062512 -0.017187 0.13793 0.046308 0.05246 0.053227 0.073809 -0.18829 0.045239 0.060341 0.19749 0.0083352 -0.011091 0.099174 0.086643 -0.0030544 -0.024326 0.050659 -1.1442].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.36361 0.070631 0.0098966 0.32601 -0.093013 0.060726 0.037828 0.068437 -0.0026779 -0.080801 -0.36423 -0.090659 0.076259 0.10072 -0.043983 -0.029031 -0.2935 0.00056377 -0.00099272 0.023544 -0.22467 0.011363 0.16379 -0.053548 0.18879].
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 [0.84998 0.03545 0.10499 0.23115 -0.067212 0.1947 0.080109 -0.027066 -0.051282 -0.091577 0.13474 0.030049 0.10057 0.0089686 -0.0067005 1.77 -0.02538 -0.63663 0.019186 -0.23503 0.080024 -0.03505 0.18096 0.25807 -0.6628].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.86268 -0.19416 -0.71526 0.03154 -0.02533 -0.032019 0.022175 0.034097 0.11727 0.087291 0.037842 -0.010141 -0.12846 -0.61436 0.19416 0.21454 -0.0212 -0.014399 0.40541 -0.064457 -0.1144 -0.18604 0.084132 -0.036899 0.10976].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.034582 -0.042996 0.29751 -0.04759 0.084973 -0.23543 0.056887 0.043451 -0.3631 -1.2032 0.00031388 0.00030342 0.11504 0.10219 0.0029355 0.84715 -0.082775 0.070451 -0.047673 -0.2224 0.09821 -0.19609 0.39737 0.42665 0.39853].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.091348 0.085175 0.2403 -0.068272 0.011189 0.088399 -0.022389 -0.027007 0.31801 0.15266 -0.0033363 0.019123 0.032545 0.076488 -0.16517 0.2714 0.20175 -0.098441 -0.018387 0.044648 -0.22571 0.0048695 -0.30063 0.077127 0.48897].
# Parameters are learned. Sampling algorithm is now running...
-------------------------------------------------------------------------------------------
# Results and figures are being stored...
Done.
Results and figures are stored in Outputs/R76_d18O_stack.
-------------------------------------------------------------------------------------------
>>