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R57.log
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node20.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 [22.9648 18.344 21.0015 41.2673 12.1757 0.018114 4.14042 15.3876 1.61424 9.20086 36.2165 63.7404 6.36478 16.6654 2.76637 4.08471 29.0028 2.72937 5.02636 0.0938391 0.662926 3.29856].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [3.1313 2.0106 -1.2713 1.1866 -0.077369 0.28197 0.46645 0.28282 -0.010586 -0.30545 2.7359 0.17514 0.0088108 0.12462 0.13538 -0.042183 0.80463 0.23972 0.54955 -0.021572 -0.092617 0.018558].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.023302 -0.0040545 0.048411 0.02832 0.11941 0.48696 0.16468 -0.022518 -0.0039604 0.0045258 0.59357 0.062784 0.60362 -0.06098 -0.099204 0.30727 -0.12657 -0.11207 -0.016127 0.010572 -0.041572 0.0001561].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.21705 0.027653 0.018576 -0.12164 0.057791 -0.68815 -0.050121 0.10979 0.13056 0.068142 -0.54822 0.087308 -0.32483 -0.10772 0.037086 0.023721 0.018358 0.064255 -0.29772 0.0045427 0.063827 -0.0057058].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.24354 0.094313 -0.018276 -0.079102 -0.015981 -0.27019 0.044451 -0.11196 -0.1798 0.0073432 0.017997 -0.038135 0.057323 0.13855 0.052443 0.041979 -0.0061507 0.033825 0.2904 -0.17622 -0.12658 0.022284].
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 [6.77113 5.76954 10.5102 8.05249 4.22901 6.81738 4.36044 3.99664 5.33066 8.58003 6.57959 10.3493 11.5291 7.42737 0.356847 3.67062 9.9194 0.474459 -0.180859 2.21537 0.453639 8.46704].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.5159 0.86119 0.24657 -1.117 -0.56058 -0.0011914 0.20498 0.18148 0.88995 0.22387 0.13132 0.69016 -0.38211 0.048515 0.14911 -0.94941 0.23787 -0.025842 -0.062867 0.23832 0.12432 0.0041796].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.57013 0.08784 -0.044456 -0.11797 -0.044475 -0.24617 0.033835 0.099867 0.082549 0.1039 0.020703 0.069077 -0.1557 -0.0060194 0.0081861 0.64704 -0.013855 -0.028251 -0.12977 0.029025 0.014483 0.00043299].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.23364 -0.4379 -0.081513 -0.28148 0.044937 0.08875 -0.080142 0.38529 -0.088065 0.006307 0.016716 -0.051104 0.16006 -0.046984 0.3632 0.0027684 -0.00069653 0.010329 0.012726 0.077044 0.017889 0.0059924].
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 [-0.0078673 0.0016921 0.13986 0.28515 -0.039546 -0.092772 0.56007 0.16575 0.13539 -0.071358 0.22639 0.23619 -0.26959 0.14895 0.027228 0.047549 -0.076796 0.038642 0.017766 0.15927 0.10836 1.3573].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.13701 0.04108 -0.036285 -0.18035 -0.12985 0.48345 -0.068871 -0.0074849 0.012371 0.016912 -0.044078 0.028198 0.25296 -0.011882 -0.0019898 -0.0378 -0.29588 -0.077334 -0.036976 -0.040276 0.055666 -0.0040948].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.059426 0.12445 -0.0048943 0.88995 -0.17334 0.11212 0.010572 0.05697 -0.11966 -0.30445 -0.015848 0.40477 0.30823 0.027395 0.088955 -0.046011 0.18262 -0.033997 0.18852 0.0046519 -0.011078 0.00090261].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.031462 0.17762 -0.022321 -0.16611 -0.080181 0.11163 0.049847 -0.0012381 -0.0043796 0.027324 0.067634 0.015851 -0.028127 -0.0043949 -0.044702 0.022026 -0.11293 -0.04596 0.1128 -0.040486 0.0058154 -0.017216].
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 [-0.13601 0.01454 0.0089843 0.013987 -0.059358 0.17856 -0.017609 0.20462 -0.094099 -0.095272 -0.14931 0.077008 -0.011356 -0.02005 -0.013649 0.11435 -0.058348 -0.1181 -0.018405 -0.10173 -0.031196 0.14969].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.15443 -0.2005 0.0080242 -0.00096321 -0.00016113 0.16461 0.0131 0.23717 -0.0703 -0.079443 0.014657 0.085377 0.071622 0.0037339 0.028466 0.048605 0.0036202 -0.031059 0.058675 0.21055 0.09039 -0.0049953].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.076818 -0.030618 -0.033974 -0.0043181 0.029684 0.24095 0.002281 0.0049226 -0.093087 -0.1086 -0.43092 -0.48088 0.17616 -0.018852 0.0058887 0.042785 -0.16733 -0.030796 0.02112 -0.31323 0.029388 0.0025299].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.035391 -0.13921 0.059794 -0.040814 -0.14027 -0.011729 -0.0008393 -0.032435 -0.04571 0.036925 0.32537 0.26871 0.12332 0.15996 0.12134 -0.0024374 -0.0080934 0.083996 -0.026432 -0.109 0.056941 -0.014881].
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 [-0.0032751 -0.03279 0.028047 -0.06987 0.057554 0.33771 -0.31416 0.028021 -0.057954 0.066045 -0.045127 0.045144 -0.17706 -0.093969 0.080738 0.043347 0.34307 -0.060719 -0.014798 -0.087481 0.040905 -0.48556].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.17899 -0.0076991 -0.16091 -0.30894 0.096324 -0.021289 -0.011986 0.0044739 0.055893 0.37596 0.012527 0.021645 0.0041756 0.015597 0.010481 -0.0011006 -0.049608 -0.0085374 0.0093118 -0.19516 0.084823 0.031811].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.098358 0.25971 -0.10619 -0.20683 -0.015674 -0.12153 0.077449 0.042812 0.03359 0.35453 -0.051211 0.21243 -0.0045034 -0.044023 -0.059435 0.038038 -0.10448 -0.001916 -0.047764 -0.06337 0.0048541 0.036948].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.52712 0.028608 -0.18811 0.30311 -0.0033266 -0.27683 0.072319 -0.24126 0.11218 0.015286 0.0055423 -0.74293 0.21146 -0.12156 0.032616 -0.11025 0.089844 0.03977 0.021674 0.079145 -0.072132 -0.011116].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.026244 -0.38097 0.1907 -0.06333 -0.015124 0.27717 -0.0011745 0.25727 0.030065 -0.057362 0.019491 -0.35638 0.037322 0.10917 0.037886 0.27241 -0.025021 -0.010372 0.0003509 0.003539 0.057338 0.049011].
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 [0.020566 -0.18092 -0.00055103 0.12135 -0.28925 -0.12851 0.31927 -0.064978 0.43942 -0.059896 0.0020327 -0.12256 -0.02471 0.0014125 0.037621 -0.12417 -0.0027171 0.11461 0.19145 -0.15057 -0.044508 0.11082].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.030056 0.027813 0.043624 0.028794 0.0099403 0.54586 -0.87309 -0.037453 0.0089183 -0.23859 0.13931 -0.095093 0.16395 0.019607 -0.049502 0.027436 -0.3772 -0.066265 0.03524 0.081537 -0.24016 -0.026966].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-8.2256e-05 -0.13715 -0.092119 0.083133 -0.0041972 -0.46487 -0.012802 0.12044 0.032471 0.076109 -0.006738 -0.22819 0.45114 0.014597 0.025476 0.035312 -0.069809 0.11429 -0.035646 0.032651 0.14877 0.0048145].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.045693 0.060799 -0.11957 0.041401 -0.048543 -0.13713 -0.046398 -0.035156 -0.045224 -0.0061663 0.10465 -0.34628 0.1086 -0.0054174 -0.083173 0.052357 0.076235 -0.037694 -0.061749 -0.32525 0.085981 0.0039321].
# Parameters are learned. Sampling algorithm is now running...
-------------------------------------------------------------------------------------------
# Results and figures are being stored...
Done.
Results and figures are stored in Outputs/R57_d18O_stack.
-------------------------------------------------------------------------------------------
>>