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R60.log
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node104.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 [57.61629 17.62157 66.16807 34.94776 12.40099 8.622908 59.48387 16.2812 27.6275 11.2459 60.13506 18.10702 43.70162 28.17727 11.21585 62.23435 10.11752 34.6558 35.54014 29.30031 72.87725 150.0711 50.40661 9.976935 13.63109 6.069026 58.39247 51.91648 7.194761 12.29378 530.1276 18.68734 16.25333 131.9115 134.769 32.99874 88.29696 116.9453 119.8428 99.1238 86.05956 31.92715 6.450432 72.82216 16.61953 352.9891 29.31063 32.70272 13.86281 458.4839 30.32862 53.30973 49.07798 97.48195].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [2.55316 0.530503 2.9045 -0.820288 -0.143442 0.0340462 0.421812 1.20185 0.681356 -0.142904 0.974633 0.189127 1.72058 2.10301 0.285357 4.52261 0.429355 2.33677 0.207774 0.4659 1.52228 0.535386 0.419729 0.116747 0.544766 -0.0100196 0.767666 1.07381 0.572968 -0.0547516 12.6918 0.994326 0.748417 18.6718 4.81433 5.69399 1.99796 0.607735 4.05024 3.89932 4.81438 1.79891 0.228311 1.00023 -0.643932 8.04069 -0.457058 0.77886 0.903757 18.1823 0.797035 1.33905 0.102568 3.33549].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.3505 -0.13383 0.97855 -0.0054368 -0.051982 0.10877 -0.16437 0.30727 0.0746 0.010033 0.25143 0.074053 0.34484 -0.0060501 0.038602 0.349 0.15658 1.1463 -0.109 0.162 0.063053 -1.3267 1.1466 0.36868 -0.15634 -0.15491 0.10417 0.11398 0.15688 -0.023892 1.1483 -0.18192 -0.092871 -0.02254 0.18921 0.089894 0.78165 -0.50795 1.458 -0.049041 0.097261 -0.23838 -0.033459 -0.27324 0.37636 0.10439 -0.048165 -0.51741 0.38991 0.080533 0.14106 0.025621 -0.085121 0.371].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.067415 -0.10578 0.262 0.33987 -0.10335 -0.21495 0.028891 -0.11484 -0.16199 -0.025894 -0.061518 0.16757 -0.22012 0.013007 0.0024973 -0.28659 0.015716 -0.14933 0.010994 -0.064817 0.056338 0.40069 0.19123 -0.038333 -0.066266 0.10716 -0.10154 0.00032957 -0.057477 0.60708 0.77003 0.060508 0.032076 1.5729 0.050767 0.29142 -0.10282 -0.30826 0.15737 0.12014 0.10062 -1.1048 0.32779 -0.1113 0.038815 0.46544 -0.0016752 0.47634 -0.05671 0.11315 0.093166 0.43612 0.24844 0.0057016].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.21107 0.10296 -0.2218 0.061721 0.084691 0.14771 -0.024868 -0.013487 0.13028 0.051511 0.04979 0.013607 0.07399 0.001128 -0.11475 -0.32939 -0.084621 -0.012349 0.0065687 0.054139 -0.14282 -0.53504 -0.85964 -0.038692 0.074542 0.020462 0.15109 0.00091429 0.027582 -0.44555 -0.023963 0.0017774 -0.33839 -0.054862 -0.024791 -0.036788 0.046561 0.87977 0.26433 0.066305 -0.023904 0.37639 -0.018406 0.067324 0.012139 -0.082873 0.0073449 -0.039242 0.010518 0.12237 -0.016233 0.10826 -0.082538 -0.069536].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.13413 -0.001214 0.2153 -0.96091 -0.0037663 0.22579 -0.0013864 0.11452 -0.029906 0.0010164 -0.10185 -0.082162 0.10779 0.00033563 0.12251 -0.20421 -0.0041054 0.086275 -0.010914 -0.11613 0.096089 -0.65299 0.093679 0.064058 -0.035432 -0.011253 0.0023933 -0.00020903 0.0046529 0.23379 -0.25786 -0.097627 0.35059 0.14877 0.0081336 0.020508 0.05335 -0.061658 0.031963 -0.072783 -0.046765 -0.048685 -0.092775 -0.57005 -0.33038 -0.35892 -0.0037711 -0.12459 -0.22234 -0.30283 -0.033642 0.018167 -0.56113 0.22952].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.30666 -0.11081 -0.049031 0.044867 0.0035099 -1.0251 -0.015784 0.014463 0.052141 -0.10865 0.15153 -0.17958 -0.077579 -0.012359 -0.0097332 0.4277 0.14168 -0.067814 0.021073 0.17753 -0.38018 -0.058902 -0.025931 -0.047865 -0.16983 -0.035791 -0.049923 0.0004423 -0.10341 -0.20449 -0.37497 0.05682 0.0064911 -1.0414 -0.045759 -0.080028 -0.0011938 -0.030003 0.043894 0.037915 0.080828 -0.018258 -0.38384 -0.86706 0.17785 0.40122 0.0062495 0.40645 0.21576 0.02326 0.038312 -0.025569 0.0056113 0.019446].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.23924 0.02861 0.10742 -0.0019135 -0.046653 0.23624 0.024508 -0.024587 0.033997 -0.07869 0.002178 0.13631 -0.20441 0.0080001 0.0097725 0.16586 -0.03012 -0.048167 -0.18103 -0.061108 -0.053234 -0.39769 0.020468 0.046045 -0.0079849 0.042499 0.014055 -0.012045 0.15155 0.28536 0.67962 0.033248 -0.01816 1.6786 -0.10974 0.0065785 -0.011796 -0.32777 -0.056063 -0.19446 -0.39026 -0.079716 -0.044062 -0.62287 0.081868 0.062919 1.5254e-05 -0.24838 -0.037412 0.11261 -0.067259 -0.13686 -0.026312 -0.078704].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.28769 0.06056 -0.42002 -0.0032791 0.059805 -0.034689 -0.075567 0.031344 0.0070065 0.16995 -0.0083216 -0.057791 0.31282 -0.044878 -0.033828 0.037892 0.030403 0.13964 0.035126 0.04999 0.52285 0.23515 -0.0018155 -0.075426 0.21179 -0.011512 -0.10736 0.011594 -0.27343 -0.61583 0.30273 -0.0040446 -0.09628 0.26809 0.17431 -0.20376 0.007777 0.43297 -0.31885 0.20087 0.32359 0.1166 0.39949 0.054002 -0.00041421 -0.038757 -0.0018999 -0.036819 0.08222 -0.32529 -0.034482 0.17105 -0.10016 -0.094114].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0037191 -0.010033 0.24585 -0.13702 -0.03152 0.090854 0.093126 0.033706 -0.027429 0.0087826 0.0008697 0.21055 -0.25967 0.042895 0.030481 0.19356 -0.40848 -0.07947 0.025015 -0.075923 0.080077 -0.093544 -0.022162 0.047288 0.010321 0.021389 0.12942 0.00011648 0.20284 0.05994 -0.00054996 -0.10882 0.10757 0.042779 0.0017652 -0.11288 -0.043404 -0.20761 0.36429 -0.085509 0.080373 0.033061 -0.25037 -0.18602 0.051399 0.050396 -0.0019945 0.25402 -0.0049327 0.57583 0.071861 -0.39586 0.022225 -0.0038037].
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 [25.19724 19.635751 106.27082 36.112982 4.8442703 29.87031 111.58954 6.9012368 76.880084 14.81175 26.488046 46.155461 58.373441 1.8444101 89.051143 75.889026 110.14647 95.43623 94.310092 52.337554 156.95592 127.65077 321.68386 39.174729 99.57912 2.1591344 29.616111 154.1873 15.652153 10.212841 1430.5309 27.026237 28.10438 17.183907 37.10437 45.988 89.055192 154.7417 51.593693 98.36921 105.4408 89.041179 4.6042354 179.37543 28.024694 859.5299 15.454183 107.83254 61.727936 110.7707 37.143705 136.10737 63.586955 39.468155].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.2283136 -0.3025383 8.331296 10.30389 0.3235431 1.762479 5.363046 0.4923605 8.744319 0.6061882 1.088399 2.436097 5.542956 0.5160057 6.114973 -0.08781025 5.438037 6.579311 7.320142 10.54834 16.4096 9.943106 25.36789 6.125011 10.71564 -0.01950323 1.469261 5.710314 2.198072 -0.4711039 118.4259 3.376378 0.8938935 0.781087 2.251845 10.75185 11.24918 2.878277 1.478456 2.850865 10.63181 3.234238 0.3671952 12.178 0.6217845 85.35196 1.135809 4.166273 2.55935 3.808138 3.513121 22.13138 2.153835 0.8411152].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0249287 1.7957 1.01003 2.55903 0.0253795 0.326277 0.32564 -0.177499 -0.0464487 -0.134312 -0.144956 -0.637338 0.00681497 0.260713 1.20099 0.254807 -1.0317 0.59936 0.956922 3.30966 3.77158 4.34611 3.18396 0.121243 4.46941 0.0359579 0.346972 1.8168 -0.0621289 0.352424 11.9916 0.486299 0.730334 1.10105 0.479913 1.18308 1.57675 1.97287 1.97045 1.29379 0.733988 1.68574 1.137 1.79416 -0.486245 12.9115 0.446097 0.283105 -0.064493 -0.0317279 1.52814 4.91475 0.958844 0.813961].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.23361 0.68074 1.0244 -0.0088772 -0.40459 -0.11154 0.17798 -0.015189 0.37962 -0.0081554 -0.28853 0.10791 1.5868 -0.15716 0.015635 0.1505 -0.33587 -0.16864 0.91719 1.2207 1.0045 -0.19613 1.3301 0.60467 0.088381 -0.021087 0.37954 -0.16088 0.0058469 0.022595 0.18134 -0.010261 0.56108 0.051272 -0.12329 2.197 -0.66527 -0.23847 -0.063097 0.32618 0.40245 -0.88157 0.11064 -0.13752 0.17044 1.0248 -0.0077612 -0.10112 0.13049 -0.1466 0.31564 -0.080582 0.52097 0.011625].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.097783 -0.033247 0.25773 0.39284 0.47789 0.046863 0.12485 0.023605 -0.0094626 -0.5276 0.29515 0.022401 0.067363 0.11215 0.65172 0.16349 0.28096 0.12844 1.0427 -0.67174 0.65904 0.25549 0.39108 0.053377 -0.21413 0.12025 -0.20771 -0.67946 -0.22673 -0.047644 -0.12049 -0.21669 0.024215 0.0095582 0.092651 0.0057779 0.013744 0.2226 0.11677 -0.038781 0.037212 0.06779 -0.084634 0.51209 -0.17438 0.25544 -0.34242 -0.1232 -0.14294 -0.28089 0.11362 -0.32038 0.12037 -0.019186].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0017009 -0.047046 -0.83536 -0.39431 -0.14336 0.033793 -0.25765 -0.0081746 -0.085755 0.1372 -0.19073 -0.003522 0.013677 0.064039 0.12607 -0.48651 -0.17167 -0.14534 0.2925 -0.15956 0.0087551 -0.046874 -0.099142 0.065865 0.5282 -0.023668 0.1694 0.085251 0.21658 0.042731 0.064086 -0.16314 -0.25479 -0.19858 0.029821 -0.0062828 -0.2386 0.0045813 0.022276 0.049902 -0.00050181 0.014494 -0.031203 0.23971 0.057117 0.029216 0.31656 0.10664 0.12607 -0.038794 0.16133 -0.3226 0.02137 0.025158].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.13263 -0.069086 0.069043 0.4367 -0.071486 -0.076781 0.55116 0.025208 -0.54884 0.47523 0.27283 -0.08785 -0.034685 -0.0060424 0.031232 0.27726 0.10408 0.18745 -0.50569 0.27356 -0.034582 0.014417 0.10818 0.0053012 0.29158 -0.0348 -0.34686 -0.013339 -0.10624 -0.055951 -0.15578 0.093631 0.021089 0.1514 -0.077176 -0.081152 0.098817 -0.11336 -0.10251 0.0018584 -0.065961 -0.072582 0.045076 -0.25708 -0.093575 0.0004371 -0.14609 -0.076085 0.010968 0.24956 -0.014032 0.017134 0.010996 -0.011598].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.042355 -0.019762 -0.10719 0.030352 -0.0030319 0.1087 -1.3203 -0.061522 0.31108 0.048348 0.0033481 0.057842 0.0019282 -0.026581 -0.43208 -0.12432 -0.25909 -0.10959 0.00065437 -0.13228 0.015237 -0.13699 -0.19158 -0.045051 0.007853 0.22363 -0.51758 0.010767 -0.17646 0.036879 -0.066031 0.13093 0.095724 0.02418 0.17393 0.077183 -0.38259 -0.41859 0.082014 -0.63095 -0.0052706 0.050181 0.065052 0.35463 0.043553 -0.4081 0.030133 -0.36332 -0.012685 0.034781 -0.21938 0.48286 0.036975 0.014349].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.1926 0.16983 0.11551 -0.51041 0.23248 -0.18939 0.034615 0.056728 0.71787 -0.037322 -0.13525 -0.22465 -0.0023578 0.018275 0.47809 0.29817 0.31248 -0.053742 0.02093 0.091802 0.019361 0.12435 0.19708 -0.33689 0.014885 -0.072034 -0.093223 -0.28229 0.082717 -0.066894 -0.26827 0.0033683 0.03604 -0.22767 0.0072826 0.013178 0.42817 0.51924 0.021996 0.92273 -0.017543 -0.019017 -0.13307 -0.80042 0.064409 -0.11566 0.052933 0.37022 0.013337 -0.2279 0.19081 0.1463 0.020324 -0.30788].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.38515 -0.06672 -0.30911 0.41726 -0.35922 0.11915 0.013465 -0.004331 -0.03527 -0.059328 -0.095759 0.24627 0.016706 -0.044993 -0.041946 -0.1605 -0.024106 0.030545 0.0008118 -0.45256 -0.0038707 0.1313 -0.0031881 0.31692 -0.043774 0.038412 0.13899 0.096324 0.18123 0.028564 0.0093064 -0.35137 0.10707 0.24284 -0.05593 -0.0071237 0.10345 0.44032 -0.15747 0.0039538 0.069986 -0.42584 0.10032 -0.20833 0.046542 0.48688 0.024359 -0.1627 -0.0024255 0.41873 -0.10456 0.069159 -0.0037463 0.24121].
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 [-0.71098 0.25326 -0.16237 0.6257 -0.050473 -0.20823 -0.066437 0.14582 0.071884 -0.22677 0.20788 -0.39478 0.020179 0.18548 0.49272 0.20857 0.084349 1.347 0.086545 0.83789 1.5099 0.77902 1.4993 -0.29894 0.12114 0.81438 0.05369 -0.25777 0.16663 0.38943 4.1525 0.43492 0.36009 -0.098334 -1.3785 -0.599 0.45289 0.56771 -0.043556 -0.0066221 -0.58112 0.0061852 0.2586 1.5445 0.45998 4.2884 0.39312 0.24927 0.0619 -1.6671 0.10224 5.4435 -0.14188 1.8913].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.019646 -0.45904 0.081122 -0.48847 -0.038573 0.13799 0.22888 -0.2026 -0.10266 -0.081452 0.0096189 -0.58366 -0.38617 0.31725 -0.42325 -0.057437 -0.13986 0.19437 -0.048808 0.38398 0.052847 0.88712 -0.40753 0.43211 0.3132 -0.0036655 0.041337 -0.015226 -0.24918 0.20003 0.10067 0.64106 0.071333 0.20501 -0.096444 -0.030493 -0.89427 0.042785 0.10746 -0.068899 -0.033557 -0.1604 -0.018969 1.0044 -0.40284 0.24827 -0.39722 -0.026064 0.28973 0.2075 -1.6309 1.4399 0.11712 0.083515].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.17798 0.062744 0.33397 -0.016708 -0.059076 -0.05505 0.0018824 0.08529 0.016116 -0.14894 0.010076 -0.1823 -0.26658 0.97479 -0.30241 -0.49405 0.051189 -0.10983 0.028726 -0.030251 -0.39269 -0.0048638 0.5502 -0.084894 0.15555 -0.06541 -0.005426 0.44873 0.051052 0.14672 -0.86971 -0.26902 -0.34077 0.13582 0.11339 0.37436 0.42711 0.054593 0.24305 0.13768 0.02007 -0.33713 -0.34495 0.19708 0.057172 0.46241 0.15651 1.3862 0.2276 0.10829 -0.062547 -0.010328 -0.016239 0.39163].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.030766 0.27798 0.14991 0.039648 0.26927 -0.080165 -0.30813 -0.17334 -0.26535 -0.092018 -0.16424 0.14011 -0.28728 0.14441 -0.38135 -0.13053 -0.061038 0.27038 0.059034 0.34284 -0.32778 0.073499 0.52724 0.17547 -0.17288 0.037612 0.16618 0.24926 0.13748 0.088028 -0.15949 -0.93254 -0.082692 -1.133 -0.057201 0.38048 0.011845 0.010536 0.30685 0.069887 0.094978 0.1395 0.27244 0.27635 0.011477 0.027885 0.31369 -0.10724 -0.036983 0.007036 0.22678 0.67528 0.45805 0.27567].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.010669 -0.0062726 -0.0015456 -0.060801 0.015558 0.047589 0.40187 0.10757 -0.10498 -0.9404 0.22582 0.085786 -0.2953 -0.0078006 0.27724 0.16981 -0.34439 -1.1864 -0.072056 -0.7154 0.40293 -0.073243 0.3997 -0.05843 0.036772 -0.039169 -0.13842 -0.080106 0.0017825 -0.30335 -0.46368 -0.033153 -0.26886 -0.0234 0.049365 -0.021264 0.022745 0.0013213 0.27523 0.026726 -0.50776 0.0075791 -0.0063847 -0.083274 0.0093993 0.058426 -0.14615 -0.097179 -0.024808 -0.076484 0.091015 -0.11546 0.48263 0.0021301].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.013974 -0.035784 0.0044813 -0.12137 0.084882 -0.081754 0.18464 0.23468 0.34058 0.36419 -0.14605 -0.02128 0.24466 -0.0039474 0.14414 -0.000979 0.24628 -0.35821 0.069552 -0.6734 0.017338 -0.0023647 -0.14348 0.064153 0.1395 0.038706 0.11276 0.045676 -0.007838 0.28992 0.66655 -0.23272 0.25317 0.06639 -0.036123 -0.11683 -0.17425 -0.0040852 -0.51542 -0.19944 0.027428 0.027763 -0.057388 0.084525 -0.033712 -1.2885 0.14986 0.1014 -0.0039485 -0.098406 -0.018066 -0.39147 -0.03078 0.0027068].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0041435 0.043915 -0.14504 0.18108 0.095013 0.19227 -0.08872 0.21926 -0.12803 0.094 0.16759 0.016946 0.030088 0.025718 -0.017959 -0.27768 -0.11379 0.54523 -0.081433 0.062293 -0.37875 -0.23187 0.1378 -0.14424 -0.12293 -0.064755 0.014977 0.19817 0.036862 0.19803 -0.52043 0.25794 -0.077691 -0.30218 -0.1538 0.031641 0.1615 -0.22801 -0.21471 0.031423 0.023705 0.0008461 -0.018178 -0.003027 -0.0037703 -0.081734 0.020642 -0.022381 0.063905 -0.057787 -0.21411 0.42679 -0.061556 -0.027032].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0062825 -0.18422 -0.082536 -0.054846 -0.16128 -0.035019 -0.34919 -0.51483 0.087572 -0.030146 -0.11471 -0.059725 0.26488 -0.13521 -0.43933 0.28599 0.33368 0.036514 0.02782 -0.13558 0.38365 0.17101 -0.081594 0.13468 -0.066254 0.015779 -0.16309 -0.067423 0.017673 -0.14944 2.7211 -0.090913 0.11604 0.421 0.17603 0.026937 0.011314 0.24227 0.21027 0.17681 -0.42597 0.00074778 0.088868 -0.31206 0.013862 0.79993 0.021956 -0.16471 -0.02412 0.2872 0.37365 -0.36346 -0.44567 0.012858].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0076317 -0.029094 0.15189 -0.0014212 -0.12303 0.10631 0.56114 0.084817 -0.11414 0.012669 -0.68403 0.053365 0.063181 0.13445 0.14917 -0.5329 -0.22268 -0.15119 0.028994 0.16722 -0.047149 -0.51652 -0.97389 -0.066503 0.053336 0.012434 -0.11203 -0.077268 -0.10588 -0.24852 -0.1228 -0.10775 -0.027756 -0.2643 -0.19919 0.060252 -0.003464 -0.022764 -0.10608 -0.28491 0.2909 -0.015534 -0.18467 0.26963 -0.0097109 -0.7307 0.024085 0.082016 0.024164 -0.81902 -0.1601 -1.6271 0.15481 -0.055312].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.075996 0.19589 -0.020205 -0.036487 -0.26543 -0.0014911 -0.16271 -0.18052 0.11933 -0.16058 0.15849 0.009728 -0.014831 -0.060779 0.24561 -0.010313 0.22593 -0.75975 0.0013563 -0.06853 -0.10328 0.046173 0.011059 0.075008 0.069668 -0.17567 0.261 0.14585 0.054906 0.24988 0.088455 0.11678 -0.097201 0.32954 0.20072 -0.0027569 -0.012798 -0.13719 0.16634 -0.33466 0.14974 0.01629 0.16214 0.03156 0.037304 -0.31117 0.0034842 0.11776 -0.37841 -0.30449 0.21192 0.23224 -0.33953 -0.048643].
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 [-0.14422 -0.403 -0.043956 -0.46327 0.048434 -0.0015621 0.4504 0.05413 -0.4178 -0.22088 0.049848 -0.24084 0.67184 -0.32918 -0.26629 1.2163 0.02234 -1.8459 0.10311 0.12168 -0.063774 -0.53763 2.7188 -0.39407 0.06023 -0.023137 -0.28988 0.36028 -0.052691 0.14381 1.6615 0.012527 0.040999 0.48289 -0.021368 -0.22717 -0.0071652 0.13933 -0.017684 0.168 -0.52181 -0.21336 -1.1657 0.30622 0.21411 -0.46988 -0.034905 -0.047627 0.36096 0.13821 1.2699 0.23834 0.22888 0.027485].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.046065 0.0028793 0.057456 0.16101 0.12953 0.18075 0.56923 0.46024 0.022319 -0.022129 0.077338 -0.66834 0.16406 0.051744 -0.19611 -0.2581 0.19263 -0.63729 -0.031651 -0.0027918 0.096583 0.029751 -0.90899 0.045709 0.17291 0.0053684 -0.10233 0.16947 0.021367 -0.0016691 0.038402 0.11177 0.049201 0.30588 0.29906 0.45291 -0.12371 -0.035593 0.026502 0.14002 0.07245 0.090884 0.38552 0.13363 0.18952 0.49341 0.23671 0.061362 -0.045435 0.068783 0.52721 -0.064312 -0.10831 -0.0054292].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0036246 0.00089759 -0.37391 0.051651 -0.0043077 0.037424 -0.13736 -0.98729 -0.020631 0.28588 -0.0072842 0.27171 0.023489 -0.27879 0.095076 0.0088256 -0.053207 -0.070865 0.016596 0.2252 2.4814e-05 -0.3429 0.72576 -0.024222 0.032549 0.0049237 0.57535 0.095125 0.071464 0.0045523 -0.5613 -0.32133 -0.086998 -0.20062 0.0072859 0.15142 0.15002 0.12924 -0.27658 -0.077482 0.19983 0.046692 -0.22557 -0.022363 -0.077472 -0.36361 -0.14357 -0.28149 -0.18654 -0.089685 0.13323 -0.30457 0.29602 0.033753].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.46157 0.031892 -0.19004 0.088765 0.13334 -0.0011145 -0.64259 0.16576 0.092578 0.078974 0.1012 0.48313 -0.67938 -0.16917 0.13124 0.37955 -0.013805 -0.037335 -0.18255 -0.10624 -0.1059 -0.49415 0.5774 -0.38404 -0.13601 -0.10007 -0.037746 -0.33801 0.41531 -0.0098754 1.3796 -0.048083 0.1139 -0.18482 -0.015493 0.36238 -0.044613 -0.363 0.41011 0.21261 -0.43682 -0.031684 -0.13817 -0.4315 -0.035018 -0.094588 0.24869 1.0926 -0.51285 0.00083988 0.0035287 -0.15739 0.29909 0.50162].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-1.1591 -0.015954 0.20968 -0.68825 0.017507 -0.018319 0.074311 0.066927 0.086003 -0.03574 0.0023891 -0.5822 -0.02026 -0.085766 -0.018515 -0.086308 0.11171 0.041967 -0.26684 -0.18391 0.18547 0.50623 -0.45937 0.57718 0.18275 0.11879 0.099584 0.38193 -0.19355 0.027768 0.3546 0.01223 -0.081834 -0.019369 -0.026504 -0.36565 0.099366 0.33596 -0.045378 0.014234 0.34355 -0.82924 0.098995 0.40639 -0.26532 0.15976 -0.036637 -0.46892 -0.91862 -0.11232 -0.017642 -0.12242 -0.15175 -0.070966].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.050592 -0.10999 -0.12912 0.15814 -0.14794 -0.035102 0.041404 -0.11207 -0.05192 0.03554 -0.044306 -0.1129 0.08187 0.14977 -0.06619 0.52348 -0.13229 -0.05948 0.46025 0.19093 -0.037789 0.026211 0.26296 0.085384 0.031432 0.079642 0.00677 -0.36027 -0.29026 -0.028286 -0.036837 -0.0038833 0.077223 0.27199 -0.18622 0.28404 -0.12183 0.051146 -0.39771 -0.037245 -0.57619 0.69014 0.012679 -0.0025265 0.57055 -0.47269 0.05741 0.3772 0.27268 0.17707 -0.012216 0.51412 -1.0258 -0.83542].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.1655 -0.011205 0.11327 -0.058384 0.056869 0.07789 -0.078806 0.10313 -0.12119 -0.021573 -0.18238 0.020769 -0.11636 0.13023 0.017758 0.01902 0.10875 0.011442 -0.17537 -0.092269 0.038492 0.023582 -0.28496 0.017897 -0.24557 -0.17455 -1.0785e-05 -0.087376 0.48855 0.0080581 -0.78039 -0.0051278 0.022354 0.054499 0.22185 -0.33124 0.11271 -0.0043441 0.46288 0.019479 -0.79829 0.39124 -0.069165 0.0034076 0.086689 0.48492 0.0021618 0.032674 0.21799 -0.14524 0.023523 0.14241 -0.075129 -1.0659].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.10074 0.088242 0.0089823 -0.024528 0.092666 -0.030362 0.079171 -0.19406 0.17441 -0.022838 0.22518 0.05769 0.070527 -0.086929 0.062772 0.013361 -0.17164 0.043885 0.16702 0.052113 -0.068381 -0.16412 0.57443 -0.12593 -0.11483 0.13169 0.13796 0.5138 -0.078962 -0.19249 -2.6709 -0.015501 0.049946 -0.17406 -0.091784 0.075935 0.0096625 0.04223 -0.004126 -0.05967 -0.21771 -0.056268 0.02551 -0.042513 -0.0070149 0.42693 -0.037415 0.036869 0.016495 0.070177 -0.021857 0.025764 0.1948 -0.27934].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.28529 -0.00036913 -0.039781 -0.061862 0.0093715 -0.042755 -0.13082 0.01892 -0.01268 0.044287 -0.11731 -0.013678 0.067515 0.19037 -0.0084269 -0.011553 -0.13173 -0.030951 -0.29338 -0.0186 0.068325 -0.008799 1.0259 0.010999 0.34784 0.062548 -0.0092295 -0.16633 0.086494 0.18006 -0.70882 0.016992 -0.015001 -0.97239 0.064976 0.31374 -0.02391 0.05212 -0.20312 0.078365 0.44318 -0.70801 0.23061 -0.0344 -0.21759 -0.93611 -0.42129 -0.53768 -0.17203 -0.07009 -0.089487 -0.011999 -0.05739 0.27415].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.11501 0.011968 -0.015927 0.14509 -0.0030316 0.074993 0.14705 0.08732 -0.36515 -0.021022 0.098986 0.0081005 -0.016504 -0.097808 -0.036326 -0.17485 0.31543 -0.03895 -0.037685 0.012036 0.0082579 -0.023204 -0.063832 0.10906 -0.13899 -0.07858 -0.010274 -0.17553 -0.63865 0.031896 0.38869 -0.46547 -0.017686 0.18525 -0.053483 -0.067711 0.013111 -0.12606 0.19222 -0.50463 -0.019933 0.73667 -0.24472 0.11518 0.24561 -0.04118 0.44344 0.51554 -0.12353 -0.16657 -0.12833 -0.048571 -0.021755 -0.19839].
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 [-0.3985 0.33235 0.40202 -0.019541 -0.087657 -0.094705 -0.29781 -0.2732 0.012916 -0.4571 -0.0033453 0.8773 0.22739 0.42234 -0.037509 0.71837 -0.16871 0.07015 -0.96958 -0.36918 0.10068 -0.034527 2.8408 -0.012108 -0.05448 -0.049798 -0.022134 -0.32892 -0.36969 -0.11457 -0.095637 -0.10561 0.11671 0.40644 -0.0058566 -0.49103 0.41558 0.37655 0.44116 0.52885 -0.14532 0.093427 -0.028313 0.029958 -0.01084 1.2598 0.050176 -0.035937 0.054798 0.11267 0.94916 -0.72452 -1.046 0.27639].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.15097 -0.015902 0.025684 0.12521 0.10672 -0.14714 0.16444 -0.25347 0.061714 0.20386 -0.0029354 -0.24535 0.50723 0.13543 0.010471 -0.43315 -0.0066534 0.90773 -0.47025 0.2358 -0.090626 0.75775 2.0377 -0.31297 0.39758 0.026158 0.021751 0.026933 -0.15781 -0.19932 0.0098466 0.076705 -0.28086 0.019482 0.11024 -0.55568 0.29298 0.12769 0.095837 0.26636 0.65863 -0.23496 -0.0070918 -0.030228 -0.078071 0.20135 -0.097651 1.1484 0.94566 -0.0054702 -0.10553 -0.69148 0.14303 -0.00030674].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.019261 -0.95825 0.020919 -0.032032 0.048392 0.11028 -0.29545 0.071741 0.14778 0.09447 -0.06989 -0.62122 0.072905 0.21854 -0.74142 -0.036698 -0.082774 -0.060294 -0.15388 -0.11767 -0.11395 -1.5752 -0.090104 -0.0138 0.00046559 0.020634 0.021256 0.26434 0.11199 0.152 0.070808 -0.16273 -0.010199 -0.11135 0.29775 -0.11044 0.051795 0.02577 0.051285 0.021358 -0.88719 -0.37412 -0.22815 0.019076 0.028248 0.23371 -0.15993 -0.17564 -0.51951 -0.27584 0.0033968 0.76126 -0.57068 -0.74659].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.036932 0.0069434 -1.9385 -0.059331 0.15226 0.056392 0.13027 -0.015323 0.014472 0.011147 0.32275 -0.0029238 -0.03342 -0.53793 -0.060982 -0.8138 -0.54207 -0.14666 0.014634 -0.73008 0.0026578 0.17487 -1.24 0.012817 0.04589 0.0088398 -0.10349 0.13516 0.064218 0.044884 0.080815 -0.065423 -0.076419 -0.054874 -0.064213 -0.059462 -0.4103 -0.10087 -0.074746 -0.11641 -0.010056 0.058866 -0.11906 -0.10696 0.017978 -0.083319 -0.072922 0.79906 -0.38081 -0.068756 0.12569 -0.21376 0.79359 0.087527].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.039067 -0.13458 -0.22844 -0.14471 0.048503 0.0032793 -0.87863 -0.0069651 0.038471 -0.1852 -0.050559 -0.093273 -0.48219 0.192 0.15975 0.041575 -0.10201 0.1538 -0.03628 -0.24124 -0.19372 -0.1971 0.34574 0.0083149 0.013975 0.016925 0.10004 -0.16689 -0.020428 0.017154 -0.25784 0.077446 -0.042688 0.040961 0.1106 0.010482 0.26246 0.18302 0.025499 -0.08034 -0.0067721 -0.0049796 0.098767 -0.1622 -0.034815 -0.26488 -0.093181 0.50419 -0.30195 0.065991 -0.035251 0.1317 -0.028058 -0.014441].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.26646 0.025522 0.3871 0.2036 0.022722 -0.16377 -0.35147 0.010466 0.030315 0.025564 -0.46089 -0.054073 0.4002 -0.035742 0.11434 0.71322 0.088637 -0.065801 0.0054158 0.023926 0.23012 -0.36473 -0.51063 -0.00036123 -0.0020401 -0.078899 0.087503 0.16315 -0.10014 -0.15278 0.2704 0.0011913 -0.0095274 -0.18007 -0.014549 -0.2168 -0.17228 -0.14852 0.050834 0.17958 -0.12807 -0.030787 -0.36231 0.17989 0.025273 0.33499 0.067819 0.046961 0.98198 -0.088637 0.058967 0.3836 0.036607 -0.089969].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.21462 0.13993 -0.32076 -0.24801 -0.18697 0.15413 0.054356 -0.04792 -0.086429 0.087878 0.3262 0.11569 -0.24712 -0.16877 -0.014448 0.64234 -0.11279 0.050261 0.017 0.45337 0.051569 0.53198 0.096006 -0.042108 0.00056816 0.02104 -0.1811 -0.033697 -0.11952 0.089879 -0.5613 0.028526 0.065027 0.012902 -0.0048211 -0.31074 0.31648 0.10177 -0.037742 -0.081334 -0.33368 -0.12307 0.4192 -0.019996 -0.28999 0.053504 0.053702 0.016055 0.31893 0.022689 -0.093493 -0.90384 0.010842 0.067172].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0034907 -0.25132 0.18208 0.20569 -0.0067982 -0.022982 -0.084304 0.037261 0.083616 -0.12167 -0.069569 0.0097108 0.34443 -0.25877 -0.28442 0.094182 0.14685 0.020575 0.011789 0.10725 -0.13086 0.088273 0.085011 -0.044683 -0.0030206 -0.00062344 0.10141 -0.18399 -0.172 0.038008 -0.61112 0.023382 -0.03768 0.18183 0.018627 0.50215 -0.019202 0.032917 0.033218 0.060781 0.20053 0.10643 0.0037127 0.011117 0.3018 -0.15591 -0.0044345 0.025812 0.0046545 -0.53191 -0.13357 -0.05268 0.010811 -0.014457].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.037403 -0.2546 0.062184 -0.13572 -0.010239 0.017272 0.14104 -0.087955 0.018185 0.23975 0.1043 -0.0061414 -0.0006783 -0.78123 0.047576 0.33252 -0.017686 -0.056974 -0.030293 -0.97901 0.10666 -0.030349 -0.21965 0.08702 -0.0061964 0.052213 0.071684 -0.76379 0.30706 -0.38649 0.039 -0.48837 0.029805 0.0102 -9.095e-05 0.16912 -0.17093 -0.04704 -0.10961 -0.12179 0.25491 0.025718 -0.0027212 0.0099644 0.00012434 -1.2287 -0.05572 -0.96522 -0.041769 -0.13326 -0.084718 -0.18948 -0.020636 -0.031683].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.054545 0.44765 -0.07619 0.1794 0.17932 -0.0076636 0.17217 0.10153 -0.026424 -0.18169 -0.28846 0.030797 -0.05477 -0.49544 0.40723 -0.37328 -0.24652 0.05485 0.032698 -0.28638 0.082417 -0.16701 0.2326 0.00087182 4.4804e-05 0.0069598 -0.017811 0.4865 0.095956 0.41269 -0.0037005 0.48267 -0.059725 -0.32956 -0.20094 -0.28398 -0.043199 0.041201 -0.35958 0.058097 -0.43198 -0.72083 -0.032852 0.00060251 -0.0035242 0.34795 0.071331 0.076619 -0.053504 -0.76982 0.45684 0.18554 -0.01635 -0.05412].
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 [0.13301 1.2067 -0.67286 0.4022 0.042203 -0.27474 -0.48585 -0.022782 0.10783 0.26961 0.11376 0.0087021 0.30077 -0.26619 -0.15714 0.25499 0.10167 0.018513 -0.11901 0.24263 -0.27067 0.22714 -0.15045 0.02306 0.43085 0.040994 0.24664 0.15967 -0.11693 -0.070759 -0.057553 -0.37364 -0.077359 0.39857 -0.031245 -0.98216 0.051959 0.31282 0.35927 0.056163 -0.16729 -0.26 0.021815 0.76288 -0.024699 -0.18262 -0.33337 -0.036775 0.026227 0.20285 0.30441 0.546 0.32631 -0.72222].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.13573 -0.33078 -0.2994 0.033803 -0.085068 1.1675 -0.035589 0.047225 0.09431 -0.18468 0.0059242 0.25745 0.80207 0.13182 -1.0297 0.34939 0.70273 0.091491 0.00012436 -0.024451 -0.0049351 0.10474 0.34039 0.094979 0.39952 0.00097366 0.29884 -0.05633 0.085567 -0.089116 -0.76105 -0.5077 0.077045 0.0012553 0.0090668 0.023063 -0.12477 -1.0607 0.16168 -0.038932 -0.4599 -0.09259 -0.049171 0.16249 -0.079338 -0.3391 -0.4973 0.25638 0.006842 -0.027404 0.47969 0.8644 0.42697 0.073024].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.07056 -0.14668 1.2427 0.11115 -0.14651 0.084768 -0.012045 -0.27894 0.31212 -0.038459 0.085311 -0.36509 -0.51818 0.011211 0.30856 0.098507 -0.26138 0.011174 0.11663 0.29824 0.0076652 -0.73955 -0.099605 0.0017986 0.2821 0.069154 -0.075884 -0.074908 0.042741 0.10281 0.88523 0.0024415 0.36875 0.34929 0.095134 2.0533 -0.23217 -0.28452 0.1475 0.10307 0.15288 -0.41802 0.072516 0.19467 -0.80825 -0.15838 -0.06047 -0.14534 0.7454 -0.15901 -0.012377 0.058683 0.17072 0.21688].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.029316 0.080053 0.15585 0.042882 -0.48061 0.027394 -0.060868 -0.0012561 0.48818 -0.16876 -0.24323 -0.14573 0.00020958 -0.17164 -0.021593 0.19933 0.017009 -0.10221 0.039382 0.26598 -0.32005 -0.37892 0.40199 0.19192 0.029769 0.033152 -0.36416 0.36333 0.25271 0.15582 -0.17937 0.058198 0.012695 0.24644 0.1004 0.39388 0.90864 0.47153 0.023629 -0.1134 0.55426 0.62074 -0.056601 0.16036 -0.24475 -0.048582 -0.006409 -0.72277 -0.11113 -0.038214 -0.12291 0.24435 0.092184 0.042606].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.00328 0.081369 -0.1686 -0.11039 0.31426 0.085525 0.10403 0.0055402 -0.54546 -0.11594 0.016137 0.11696 0.016389 0.15445 0.13538 -0.15809 -0.12778 0.10381 0.020062 -0.42697 0.30245 -0.087753 -0.016778 -0.17283 -0.070677 0.01887 -0.13609 -0.4275 -0.17858 -0.21984 -1.1104 -0.01116 -0.036351 0.044623 -0.4143 0.14326 -0.103 -0.6681 0.22202 0.19089 -0.019592 -0.030541 0.040905 0.097731 0.37849 0.04807 -0.073489 0.54744 0.13005 -0.38451 0.12518 0.075418 0.0014629 -0.016433].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.21006 0.023569 0.10705 0.082119 0.39487 -0.25215 0.13309 0.007476 0.013699 0.4958 -0.35523 -0.19329 -0.078692 -0.46001 -0.28354 0.023001 0.099987 0.0001877 -0.040079 0.55733 0.0016748 0.73453 -0.71511 0.14462 0.091474 -0.013764 0.35853 0.3785 0.10061 0.2266 0.8765 -0.76283 0.051101 0.017929 0.3399 -0.035394 -0.014182 -0.0021827 -1.0524 -0.50176 -0.01881 0.017439 -0.069125 -0.36282 -0.15907 -0.20674 0.06478 0.48804 -0.13162 0.10552 0.0024962 -0.058775 -0.33105 0.015364].
# Iteration 7:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.24627 0.0032153 0.05397 -0.45969 -0.041993 0.20909 -0.10279 -0.00049798 -0.074787 0.15382 0.40767 0.20134 0.07864 0.42644 -1.1078 0.082255 -0.13478 -0.051937 -0.2257 -0.015755 -0.096215 0.072627 0.25281 0.016182 -0.5926 -0.016626 0.4237 -0.07751 -0.14565 -0.07295 0.099527 -0.12587 -0.02203 -0.0006152 0.052656 -0.099797 0.13148 -0.021159 -0.15676 -0.86862 -0.044677 0.0075259 -0.12262 -0.026211 -0.0062059 -0.33205 -0.083602 0.2711 0.16515 -0.21118 -0.20247 0.13142 -0.62362 -0.0078389].
# Iteration 8:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0046332 0.023741 0.0056978 0.21366 -0.081158 -0.0057434 -0.093337 0.00073988 -0.033263 -0.19409 -0.45508 -0.41844 -0.0070659 0.0090468 -0.18249 0.043004 0.11588 0.052239 -0.056305 -0.013773 0.090644 -0.020116 -0.05982 -0.0060269 -0.32438 0.031401 -0.28414 -0.22634 -0.079468 0.061559 -0.41652 0.11488 -0.020481 -0.048992 -0.32421 0.062783 -0.031323 -0.75375 -0.11493 -0.068335 0.068103 -0.24263 0.21687 0.14945 0.47844 0.44959 0.053351 -0.10357 -0.078671 0.12102 0.10036 -0.15608 -0.55729 -0.028468].
# Iteration 9:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.049601 -0.071899 0.00067866 0.054463 -0.013068 0.0023342 -0.20798 -0.0014613 0.093526 -0.37569 0.0593 0.13213 -0.010627 -0.052121 -0.17822 -4.894e-05 -0.155 -0.0030339 0.32423 -0.20892 -0.0020284 -0.013369 0.20232 0.015319 0.33878 0.0059265 0.17124 0.43922 0.015259 -0.075854 0.55889 -0.087643 -0.024181 -0.10366 0.19432 0.028104 -0.18621 0.059066 -0.74513 0.18767 0.0020896 0.058389 -0.12292 -0.1547 -0.379 -0.036134 0.041546 -0.22301 0.01233 -0.42643 0.1126 0.0013891 -0.10679 0.04551].
# Iteration 10:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.058283 -0.041693 -0.19136 -0.12885 0.11341 -0.063677 -0.10612 -0.0014244 0.010085 0.18093 0.27536 0.28201 0.025335 0.042425 -0.49616 -0.062502 0.17915 -0.0018821 -0.093787 0.2261 -0.017142 0.036499 0.018197 -0.018262 -0.016567 -0.00030896 -0.12974 -0.44731 0.12879 0.0024069 0.12791 -0.018645 0.030008 0.1446 0.12344 -0.90089 0.11265 -0.14026 0.056621 0.15369 -0.056625 0.17528 0.1229 0.14254 0.077219 -0.089594 -0.3895 -0.15005 0.066602 0.7976 0.017724 -0.11514 -1.0048 -0.0028064].
# Parameters are learned. Sampling algorithm is now running...
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# Results and figures are being stored...
Done.
Results and figures are stored in Outputs/R60_d18O_stack.
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