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R85.log
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R85.log
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node101.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 [29.37613 14.84865 22.23712 4.962869 12.54635 16.76166 15.0975 4.852546 9.384948 90.1567 16.65385 10.27988 6.030835 11.30084 17.89732 0.1910876 36.58915 45.13104 64.20546 13.34782 23.00075 28.3458 169.4425 61.22772 55.11705].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [1.2995 0.41866 0.06292 -0.22417 -0.21749 -0.010607 -0.03016 0.18066 -0.032746 -0.56385 -0.067257 0.18597 0.20769 0.090189 1.7284 0.041816 0.045057 0.17017 -0.79073 0.24519 -0.12497 0.16774 3.6521 0.4185 -0.048739].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.015818 -0.15992 -0.029023 -0.12049 -0.064875 0.0072958 -0.0046546 -0.00062197 -0.17355 0.40814 -0.0065499 -0.020362 0.010002 -0.10251 0.11329 0.094689 -0.004994 0.01038 0.0066746 0.019551 -0.058337 0.2154 0.033696 -0.03458 0.054816].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.25169 0.14726 0.06526 0.088289 0.032155 -0.037469 0.085725 -0.14077 0.031704 -0.057285 0.0080845 -0.02181 0.042723 0.16567 -0.13885 -0.069374 -0.29891 -0.04056 0.080518 0.050173 -0.016376 0.22192 -0.19216 0.017642 -0.0048968].
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 [22.70552 33.8431 28.08138 19.26242 17.04525 30.16651 31.42643 16.47607 21.28394 37.78972 24.04029 7.796559 2.12704 14.40739 13.0404 9.500576 28.40987 54.80652 34.20969 30.18166 21.17929 42.53497 183.3818 45.40644 26.72709].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.91849 3.5065 0.080954 -0.35613 0.63875 1.4574 0.77312 0.67012 1.3342 1.8831 1.781 0.4474 -0.016667 1.0074 -0.23894 -0.15039 1.8765 2.0128 0.69914 1.0045 1.8482 1.3904 3.0671 1.7063 -0.058777].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.24183 0.28574 0.28528 0.056646 1.039 0.60863 0.798 0.33008 0.11616 -0.1147 0.49181 -0.022003 -0.20004 -0.079558 0.18278 0.16422 0.44317 0.054537 0.36475 0.30384 0.20081 -0.13857 -0.29036 -0.014671 0.19325].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.24959 -0.32956 0.0033906 -0.033825 -0.0072456 0.25992 0.02566 -0.0026362 0.037746 0.13106 -0.058367 -0.01843 0.021148 -0.013299 0.53662 0.017308 0.32125 0.082882 -0.33883 0.18155 0.052279 0.07807 0.397 -0.33096 -0.28264].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.35789 0.37632 -0.1202 -0.34822 0.00085069 0.14724 0.065246 -0.013005 -0.0075123 -0.0085177 0.10821 0.012962 0.093841 -0.3492 0.18049 0.058169 0.11006 0.026676 -0.040283 0.13278 -0.067057 -0.15524 -0.0089156 0.31295 0.28502].
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 [0.096493 -0.1551 -0.42978 0.06971 -0.056294 0.034815 -0.27711 0.38213 -0.0068571 -0.090087 0.16982 -0.063259 -0.044524 0.57582 0.28984 2.4167 -0.052033 0.82382 -0.10824 0.10364 -0.22136 -0.32298 0.52022 0.49011 0.090272].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.036229 0.10911 -0.37974 -0.021108 0.086583 0.063839 -0.040876 0.1041 -0.013572 -0.050943 -0.21549 0.044619 0.012408 -0.076712 0.26441 0.4992 0.35106 0.33113 0.063736 0.15252 0.29436 -0.056155 -0.15314 -0.13156 0.16488].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.01975 0.037015 0.46702 -0.10646 -0.30072 0.093917 -0.50823 0.21474 0.00013093 0.034353 0.090789 0.017719 0.011388 -0.21388 0.34063 0.082816 -0.045913 0.30442 -0.12799 -0.015137 0.59603 -0.025645 0.043636 -0.011829 -0.23218].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.79867 0.22117 0.36983 0.040236 -0.13389 -0.17958 0.031726 0.066025 -0.078498 0.1813 -0.30103 -0.23527 0.054888 0.14629 -0.71627 0.18209 0.068039 0.21083 -0.041494 -0.11272 0.034415 0.26818 0.22622 0.05798 -0.06345].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.14556 -0.022855 -0.11727 0.18738 0.16822 0.15772 -0.065829 -0.21021 -0.21355 -0.045733 0.10705 0.2255 -0.092029 -0.11371 0.013695 -0.042587 -0.0032647 -0.022287 -0.087846 0.11939 -0.02886 -0.049871 -0.27578 -0.37735 0.0059047].
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...
do_ypcall: clnt_call: RPC: Timed out
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 [-0.12152 0.017295 0.025686 -0.020005 0.04569 0.042076 0.023743 -0.032381 -0.098877 -0.062893 0.12503 0.049153 0.30394 0.19671 0.28982 1.426 -0.0471 -0.3978 0.059044 -0.19109 0.04722 0.23234 -0.8777 0.021413 0.17249].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.25077 0.0014433 0.083195 -0.19712 0.39517 -8.6259e-05 0.12305 -0.07708 -0.46385 -0.22578 0.14512 -0.045251 -0.0018757 0.041445 0.14271 0.070793 -0.073503 -0.65109 0.42444 0.10326 -0.27284 -0.31838 1.3084 0.12293 0.077774].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.19164 0.029743 0.095122 0.14966 -0.223 -0.68223 -0.30972 0.048587 -0.064761 0.034335 0.12985 -0.004361 -0.22477 -0.32722 0.1163 -0.58654 -0.02581 0.047928 0.70349 0.082223 -0.072096 -0.056734 0.52112 -0.014861 -0.20698].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.14492 0.02236 -0.048212 -0.1083 0.52553 -0.14958 0.073109 -0.0019022 0.11487 -0.086634 0.017942 0.0024429 0.059743 0.021838 -0.58073 0.25329 0.032316 1.4047 -0.053436 -0.22717 -0.045256 0.086893 0.32884 0.027149 1.0055].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.36386 -0.092799 -0.17685 0.088579 -0.19733 0.29119 -0.13066 -0.044896 0.1181 -0.22449 0.0092816 0.0055778 0.0019887 0.00012051 0.035191 0.031121 -0.087681 0.15187 0.071746 0.21235 0.030608 -0.47712 -0.028763 -0.023446 0.12068].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
do_ypcall: clnt_call: RPC: Timed out
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 [-0.042921 -0.065901 0.21947 0.012307 -0.15276 0.09725 0.15595 -0.2288 -0.52718 0.81457 0.039985 -0.46375 0.14864 0.20175 -0.28136 2.8261 0.0044558 -0.11225 -0.41549 0.053182 -0.06123 -0.3381 0.47967 0.43575 0.015178].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.24046 0.0072324 0.048591 0.063786 -0.051442 0.089868 0.017467 -0.43082 -0.011228 -0.11644 0.098176 0.023031 -0.34401 0.062147 -0.47844 0.076266 0.17153 -0.031193 0.28268 -0.41035 0.020602 0.073794 0.49424 -0.83502 -0.017861].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.035914 0.010877 0.001307 -0.030685 -0.094192 -0.011348 0.5654 0.30636 -0.10407 -0.16564 -0.16226 0.01414 0.060799 0.17075 1.1866 0.090987 -0.12159 0.041764 -0.011155 0.72576 0.11459 -0.010058 -0.095917 0.1267 -0.19484].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0055487 0.020025 -0.10689 -0.22639 -0.14053 -0.022543 -0.048219 0.036614 -0.42517 -0.012983 -0.21373 0.020938 0.36913 -0.077244 0.023618 0.076324 0.024662 -0.28932 -0.10364 -0.14619 -0.21842 0.0074082 0.018671 0.38341 -0.092745].
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 [-0.2146 0.097188 -0.092551 -0.331 -0.025982 -0.014551 -0.15504 -0.20678 -0.14282 -0.015417 0.27789 0.070791 0.073051 -0.051221 0.34566 1.3862 -0.11456 -0.31645 -0.55342 -0.027828 -0.053911 -0.0083376 0.34245 -0.070937 -0.30541].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.057762 -0.0045255 -0.021501 0.0009425 0.19983 0.30341 -0.41844 -0.0052915 0.0041084 -0.050837 0.22674 0.0074866 0.10374 0.01391 0.29898 0.21579 0.070617 0.11841 0.024897 0.0023226 0.17627 -0.0066259 1.5786 0.022507 1.0305].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.063073 -0.015611 -0.17446 -0.082113 0.0751 0.0066856 0.16092 -0.2102 -0.14312 -0.031892 0.096144 -0.017262 -0.027327 -0.068525 -0.27222 1.0745 -0.0061191 -0.0067182 0.0086644 -0.0367 0.28308 -0.043212 -0.02566 -0.34598 -0.078354].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.034946 0.30053 0.007044 -0.074192 0.085113 -0.012203 -0.19656 -0.1113 0.19854 -0.15758 0.19733 0.16129 -0.61416 0.022151 -0.034524 0.0036746 -0.02162 -0.03796 -0.059535 0.032314 -0.008528 0.63071 0.55353 0.82932 -1.0814].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.048017 -0.2327 -0.0089007 0.036507 -0.08647 0.017469 -0.69928 -0.12647 -0.30343 0.035838 0.33689 -0.36582 -0.11183 0.098613 -0.28047 -0.073055 0.011363 -0.067624 0.018372 0.052216 -0.4396 0.024158 1.196 0.44894 0.47389].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.052065 0.29386 -0.093783 -0.013825 -0.35229 0.0066938 0.5768 0.21526 0.25867 -0.11098 -0.087715 0.13545 0.085385 -0.23786 0.16553 0.109 -0.025673 -0.13769 -0.0080572 -0.10913 0.46802 -0.0022965 0.010877 0.047314 -0.23442].
# Iteration 7:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.042835 -0.1635 0.088816 -0.012878 0.44406 -0.11502 -0.040174 0.024093 -0.22753 0.34636 0.10354 0.06779 0.072948 0.19178 0.19799 -0.19502 -0.16987 0.1378 -0.015748 0.073518 -0.28641 0.0108 0.03449 -0.0077009 0.096488].
# Parameters are learned. Sampling algorithm is now running...
-------------------------------------------------------------------------------------------
# Results and figures are being stored...
Done.
Results and figures are stored in Outputs/R85_d18O_stack.
-------------------------------------------------------------------------------------------
>>