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R18.log
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MATLAB is selecting SOFTWARE OPENGL rendering.
OMP: Warning #181: OMP_STACKSIZE: ignored because KMP_STACKSIZE has been defined
< M A T L A B (R) >
Copyright 1984-2022 The MathWorks, Inc.
R2022a (9.12.0.1884302) 64-bit (glnxa64)
February 16, 2022
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: 36).
Number of workers: 36
-------------------------------------------------------------------------------------------
## 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...
{Error using randsample
W must contain non-negative values with at least one positive value.
Error in getProposal (line 90)
index = randsample(3*S,nsamples,true,WW);
Error in initializeAlignment (line 7)
parfor ll = 1:L
Error in Stacking (line 12)
QQ = initializeAlignment(data,data_part,param,target,setting);
Error in BIGMACS (line 28)
[data,samples,param,target,setting] = Stacking(inputFile);
Error in main (line 8)
BIGMACS(inputFile,inputMode,'show');
Error in run (line 91)
evalin('caller', strcat(script, ';'));
}
Time elapsed = 45 s
MATLAB is selecting SOFTWARE OPENGL rendering.
OMP: Warning #181: OMP_STACKSIZE: ignored because KMP_STACKSIZE has been defined
< M A T L A B (R) >
Copyright 1984-2022 The MathWorks, Inc.
R2022a (9.12.0.1884302) 64-bit (glnxa64)
February 16, 2022
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: 36).
Number of workers: 36
-------------------------------------------------------------------------------------------
## 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...
{Error using randsample
W must contain non-negative values with at least one positive value.
Error in getProposal (line 90)
index = randsample(3*S,nsamples,true,WW);
Error in initializeAlignment (line 7)
parfor ll = 1:L
Error in Stacking (line 12)
QQ = initializeAlignment(data,data_part,param,target,setting);
Error in BIGMACS (line 28)
[data,samples,param,target,setting] = Stacking(inputFile);
Error in main (line 8)
BIGMACS(inputFile,inputMode,'show');
Error in run (line 91)
evalin('caller', strcat(script, ';'));
}
Time elapsed = 40 s
MATLAB is selecting SOFTWARE OPENGL rendering.
OMP: Warning #181: OMP_STACKSIZE: ignored because KMP_STACKSIZE has been defined
< M A T L A B (R) >
Copyright 1984-2022 The MathWorks, Inc.
R2022a (9.12.0.1884302) 64-bit (glnxa64)
February 16, 2022
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: 36).
Number of workers: 36
-------------------------------------------------------------------------------------------
## 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...
{Error using randsample
W must contain non-negative values with at least one positive value.
Error in getProposal (line 90)
index = randsample(3*S,nsamples,true,WW);
Error in initializeAlignment (line 7)
parfor ll = 1:L
Error in Stacking (line 12)
QQ = initializeAlignment(data,data_part,param,target,setting);
Error in BIGMACS (line 28)
[data,samples,param,target,setting] = Stacking(inputFile);
Error in main (line 8)
BIGMACS(inputFile,inputMode,'show');
Error in run (line 91)
evalin('caller', strcat(script, ';'));
}
Time elapsed = 61 s
MATLAB is selecting SOFTWARE OPENGL rendering.
OMP: Warning #181: OMP_STACKSIZE: ignored because KMP_STACKSIZE has been defined
< M A T L A B (R) >
Copyright 1984-2022 The MathWorks, Inc.
R2022a (9.12.0.1884302) 64-bit (glnxa64)
February 16, 2022
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: 36).
Number of workers: 36
-------------------------------------------------------------------------------------------
## 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...
{Error using randsample
W must contain non-negative values with at least one positive value.
Error in getProposal (line 90)
index = randsample(3*S,nsamples,true,WW);
Error in initializeAlignment (line 7)
parfor ll = 1:L
Error in Stacking (line 12)
QQ = initializeAlignment(data,data_part,param,target,setting);
Error in BIGMACS (line 28)
[data,samples,param,target,setting] = Stacking(inputFile);
Error in main (line 8)
BIGMACS(inputFile,inputMode,'show');
Error in run (line 91)
evalin('caller', strcat(script, ';'));
}
Time elapsed = 49 s
MATLAB is selecting SOFTWARE OPENGL rendering.
OMP: Warning #181: OMP_STACKSIZE: ignored because KMP_STACKSIZE has been defined
< M A T L A B (R) >
Copyright 1984-2022 The MathWorks, Inc.
R2022a (9.12.0.1884302) 64-bit (glnxa64)
February 16, 2022
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: 36).
Number of workers: 36
-------------------------------------------------------------------------------------------
## 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 [40.72535 18.59337 14.97523 13.10047 59.84036 22.98279 9.987363 12.3326 11.08914 3.357081 13.15621 6.34453 1.970191 2.958541 4.4515 8.091878 23.02705 8.551514 5.945978 8.584316 23.51791 11.4826 0.04959318 5.487315 1.102556 4.513814 7.157348 9.147345 9.18102 6.36628 2.663618 14.89282 7.790317 8.455201 0.7762714 0.02472635 1.2606 0.8941925 0.3616385 6.601828 0.9844015 3.993125 1.528992 7.737297 -0.1350217 3.184975 4.913858 2.413935 0.644306 1.676852 2.10604 11.16499 5.737596 6.142548 -0.760343 22.16756 23.81242 0.1419822 1.104407 7.854781 14.46331 13.49207 7.816186 20.17971 8.74827 1.895036 51.11208 4.890929 5.449779 0.3486496 39.74005 17.10877 23.78922 13.80807 2.640298 12.51202 11.06359 5.961428 8.067923 33.99125 5.253108 9.927176 11.5286 3.765216 16.04825 10.8654 13.32234 14.36493 1.170372 13.70869 5.122142 4.410607 44.16567 14.05553 13.01444 2.150904 14.13913 10.11677 96.45495 54.75326 125.7025 26.52478 8.255674 8.169649 18.30648 0.4557503 16.86924].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.878807 0.578387 -0.0147923 -0.698361 0.636449 -0.175122 0.59879 0.241454 0.059997 1.2977 0.429842 -0.15777 0.466795 0.212111 1.0037 0.736745 0.0375714 0.203067 0.38488 1.57686 -0.0439005 0.679611 -0.420304 0.509256 -0.431817 0.43161 0.346759 0.117063 1.31633 -0.00457237 -2.22149 0.394611 -0.515544 0.27783 0.16685 0.0525498 -0.666368 -0.556104 -0.48652 0.339038 -0.0147021 0.626961 0.313949 0.0852086 0.0455581 0.0800793 0.220576 -0.0406277 0.0670941 0.297049 -0.385276 1.24052 0.227491 0.54975 -0.0513396 3.48963 7.28809 0.320485 0.547934 2.153 -1.99701 0.0270076 -0.0745152 2.02125 0.0117703 0.254595 0.0534097 0.140438 1.02949 0.251887 3.22726 0.727686 0.731204 0.392411 0.531033 0.830269 -0.025167 1.15908 0.172611 0.527633 -0.10435 -0.149822 0.0248861 -0.0159759 0.226686 0.457756 0.939153 1.91041 -0.489677 1.88337 0.358867 1.00052 8.79674 0.853391 1.61781 0.0365944 0.874718 0.103366 11.8715 4.40453 11.8042 3.74675 0.484048 0.439376 1.75182 0.792374 0.639197].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.43616 0.19134 0.045362 0.11407 0.14568 0.25623 0.0592 0.35927 -0.067591 -1.0314 0.09576 0.08005 0.41226 0.86258 0.15025 -0.26893 0.51394 -0.045939 -0.16116 0.37037 0.02651 -0.24787 -0.19979 -0.069474 0.28852 -0.017209 0.055567 0.23839 -0.55274 -0.012997 0.051269 0.34545 -0.0055247 -0.082874 0.17617 -0.096274 0.080154 -0.029276 0.36222 0.018381 -0.0032114 -0.1489 -0.23082 0.25653 0.28458 -0.234 -0.057742 -0.4065 0.034508 -0.097093 0.031536 0.041205 0.03335 0.083189 -0.0017164 3.5232 0.52485 0.0068467 0.50929 0.25448 0.20769 0.0055949 0.29424 -0.24026 0.25291 0.044186 0.2326 0.46807 -0.04568 -0.015369 0.65896 0.010558 0.98371 0.023439 0.27902 0.11291 0.011692 -0.14124 0.097972 -0.134 -0.081073 0.019515 0.26396 -0.081041 -0.096827 0.13182 -0.046117 -0.38053 0.066684 -0.037787 -0.13572 -0.17894 0.42537 0.094055 0.34639 -0.010858 -0.12599 -0.18129 0.35003 1.3521 2.5313 -0.031403 0.28827 0.1759 0.21271 0.21595 -0.2123].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.2573 0.0020424 -0.026621 0.062919 -0.058516 -0.31623 0.040414 0.031349 -0.15885 0.0061674 0.18494 0.06147 0.32211 -0.077064 -0.064106 -0.17846 0.024076 0.0090517 0.0017238 -0.066142 -0.098587 -0.0034187 -0.00032686 -0.0076421 0.019444 -0.67776 -0.060213 0.35704 0.23814 0.028809 -0.12561 0.16446 0.24997 0.019856 -0.25908 0.02454 -0.0024686 0.0036518 0.08085 0.40229 -0.050417 0.17296 -0.25062 -0.0041129 -0.0050952 0.16151 -0.29301 -0.043617 -0.0087388 0.12439 -0.025216 -0.072215 0.019654 -0.13412 -0.12606 0.2723 0.42493 -0.051938 0.00059263 0.088961 1.2575 -0.029481 -0.54419 -0.12502 -0.006712 0.0067916 -0.0086296 0.044229 -0.050489 -0.042518 0.37969 0.051292 -0.052384 0.02332 -0.017786 -0.015077 0.11719 0.90625 -0.50478 -0.0056897 -0.046094 -0.34241 0.57375 0.013841 0.14776 -0.35304 0.051944 -0.12939 0.072751 -0.016327 0.19494 -0.025363 -0.087572 -0.10921 -0.29307 -0.03891 -0.2828 -0.090704 -0.98114 0.35336 -0.75965 0.61843 -0.032517 0.078735 0.14228 0.14642 -0.025945].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.11512 -0.32907 0.0022931 0.0014345 0.11834 0.32335 0.006414 0.15583 0.15547 -0.018396 -0.030331 -0.048008 0.29031 -0.024329 0.060752 0.18678 -0.12824 0.035421 -0.86146 0.097116 0.025246 0.018701 0.045683 -0.11784 0.076031 -0.16227 -0.16476 -0.0034672 -0.023064 0.0028783 0.26592 -0.0037582 0.096528 -0.0043321 0.076576 -0.0024948 -0.0056717 -0.11908 0.21145 0.077954 0.029488 0.030688 0.18248 0.061878 0.0019515 -0.10943 0.58508 0.0071378 -0.10978 -0.053327 0.024476 -0.3667 -0.0020748 0.16652 0.067128 0.054785 -0.028692 -0.060713 0.12212 -0.0097169 -0.81255 -0.058316 0.15533 0.13979 0.052654 0.047897 -0.1395 -0.1771 0.1107 0.16145 0.047459 -0.024371 0.16597 0.019251 -0.022275 -0.10135 0.0076951 -0.074855 -0.0024475 0.021296 0.1072 0.42452 0.52095 -0.028471 -0.35887 0.26721 0.042813 0.079281 -0.035141 -0.31642 0.017816 0.11445 0.26128 0.37656 0.45261 0.038258 -0.47938 0.048092 0.69522 -0.012772 -0.13191 0.15605 -0.051014 0.006786 0.26842 -0.41852 0.058832].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.099578 0.24509 -0.031917 4.253e-05 -0.074823 -0.0096914 -0.14513 -0.40352 -0.14075 -0.10571 -0.028555 -0.12538 -0.13916 -0.065032 0.004876 0.050913 0.085754 -0.060361 0.067502 -0.0051377 -0.012305 0.018617 0.035029 0.1956 -0.083657 -0.16877 -0.05312 -0.13948 0.073021 -0.0072162 -0.2179 0.050809 -0.40877 -0.01702 0.056757 0.011281 0.0011587 -0.056236 -0.18897 -0.045373 0.13019 0.0091867 -0.036071 -0.048262 -0.085287 0.11584 -0.0099965 0.032981 -0.026222 0.090009 0.12632 0.30071 -0.061194 -0.014482 0.18175 -0.031562 0.17118 0.047464 -1.2335 -0.015013 0.071768 0.0974 -0.052252 -0.014683 0.022064 -0.015898 0.049752 0.12055 0.12572 -0.13718 -0.052113 -0.025125 -0.037343 -0.015298 -0.090633 0.092926 -0.1159 0.01186 -0.02612 0.0040471 -0.039802 -0.16151 -0.15797 0.0068598 0.25212 0.15557 0.0022588 -0.10419 -0.048079 0.016672 -0.048018 -0.32214 0.019103 0.81095 -0.035349 -0.046314 0.22704 0.096122 0.94626 -0.075592 0.38793 -0.10229 -0.45527 -0.0044361 0.46171 -0.1689 -0.087626].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.22824 0.14345 -0.23736 -0.021399 -0.11158 -0.21033 -0.033465 0.3688 0.12055 0.067313 0.069878 0.099638 -0.049097 0.08311 -0.15304 0.023789 0.0096138 -0.0091033 -0.081013 -0.0273 0.011868 -0.048934 -0.064672 -0.028959 -0.025285 -0.036428 0.355 0.17323 -0.12164 0.0080326 -0.15724 -0.067841 0.33095 0.026052 -0.09342 -0.0068804 0.0070991 0.13933 0.63187 -0.33467 -0.042567 -0.10348 0.14326 0.042769 0.080816 0.01176 0.075183 0.021856 0.087246 -0.091403 -0.17329 -0.40442 0.06308 -0.060794 0.028722 -0.048958 0.0021164 -0.039865 0.18309 0.004341 0.0011004 -0.001842 -0.04306 0.0078905 -0.18348 0.01848 -0.12711 0.11026 -0.096382 -0.13662 -0.16814 0.060147 0.040179 -0.15006 0.11391 0.022815 -0.037435 -0.15215 0.045537 -0.039551 0.15949 -0.74985 0.26443 0.0047355 0.010239 -0.065344 -0.026372 0.04112 0.063413 0.21967 -0.0074565 -0.10454 -0.077609 -0.0081389 -0.069694 0.025979 -0.059191 -0.033824 0.36177 -0.73866 -0.082775 -0.00245 0.25967 -0.012311 -0.14931 0.22668 0.089683].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.12755 -0.42896 0.21976 0.03142 0.11597 0.21395 0.15916 -0.38571 -0.024058 0.037653 -0.16826 -0.1491 0.12473 -0.0094419 0.14597 -0.13748 -0.073629 -0.14012 -0.0039569 0.029394 -0.020187 0.027731 0.088023 -0.11637 -0.049169 -0.0057257 -0.66889 -0.51686 -0.17083 -0.00015918 0.47802 -0.059406 -0.10954 -0.0070109 -0.09678 0.012316 0.0006441 -0.033739 -0.66811 0.22394 -0.13732 -0.070175 0.089829 0.027861 0.0055307 -0.034485 0.010243 -0.044078 -0.028402 -0.071045 -0.33576 0.35476 -0.087408 0.078103 0.030644 -0.041464 -0.086656 0.069488 -0.00012814 0.015508 -9.7408e-05 -0.099808 0.060315 -0.0074291 0.18897 -0.0076332 0.19691 -0.26952 0.16857 -0.087878 0.0817 -0.056529 -0.0012582 0.15877 -0.021241 -0.022313 -0.055337 -0.07101 0.0020205 -0.057575 -0.14553 0.37435 -0.10378 -0.043486 0.020356 -0.10028 0.018275 0.12627 -0.055729 0.0046354 0.024138 0.13743 0.050827 -0.097482 0.052973 -0.026171 0.48097 0.0096202 0.32003 -0.29301 -0.053996 0.077071 -0.066054 -0.007555 -0.19271 -0.071796 -0.051498].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.010786 0.452 0.034332 -0.057817 -0.13876 -0.0008432 -0.048816 0.12626 0.0042518 0.0092606 -0.19207 -0.0020586 0.055667 -0.0069506 -0.096862 0.071427 0.093605 0.12594 0.073332 -0.35484 0.0062676 0.016635 -0.0087372 0.1028 0.16496 0.32663 -0.0095066 -0.0012221 0.1981 -0.0006319 -0.14039 0.11865 -0.10222 -0.0025604 0.087605 0.0021235 -2.9802e-05 0.094457 0.22813 -0.046651 0.078913 0.1284 -0.17595 -0.051548 0.00059682 -0.0046074 -0.21863 0.045633 -0.11018 0.12146 0.19004 0.047433 0.026109 -0.10421 -0.23534 0.11463 0.090656 -0.037367 -0.032151 -0.017918 -0.026966 -0.042774 -1.1075 -0.13622 -0.18781 -0.017394 0.013395 -0.07468 -0.10405 0.14893 -0.20516 -0.040839 0.00010644 0.0022364 0.014865 0.016253 0.017642 0.34855 -0.0078253 0.091303 -0.16438 -0.0054186 -0.30699 -0.0020059 -0.019204 0.015554 0.0017461 -0.14785 -0.11487 0.068261 -0.043587 -0.094392 0.013197 0.047283 -0.24256 0.021307 0.18936 0.016021 0.0095055 0.24625 0.022705 -0.17874 0.38788 0.023494 -0.64608 0.26518 -0.13503].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.081729 0.011963 -0.089024 0.036267 -0.10397 -0.051863 -0.0015802 0.28042 -0.090462 -0.091274 0.33051 0.20807 -0.23859 -0.13341 0.08564 0.069912 0.0024752 0.086846 -0.028512 0.17805 -0.007487 -0.11451 -0.04667 0.02729 -0.093582 -0.21045 0.015774 -0.29547 -0.011392 -1.6105e-05 0.2267 0.030632 0.037621 -0.058937 0.018506 0.0048913 -0.0028778 0.023388 0.16526 0.1651 0.13803 -0.056264 -0.21474 0.015337 -0.054987 0.0058047 0.11212 0.0044535 0.13455 -0.091456 0.21898 -0.14129 0.044363 0.096641 0.22985 -0.0028572 -0.016515 -0.015885 0.031349 0.013692 -0.011492 -0.037883 0.11206 0.15088 0.13544 0.022098 -0.064562 0.22544 -0.004284 -0.063355 -0.16179 0.098088 -0.03433 0.00093514 -0.15746 -0.074546 -0.076245 -0.26085 -0.036847 -0.045678 0.1462 0.14614 0.43096 0.090465 0.0013404 0.16763 0.009694 0.11794 0.17814 0.020568 0.069823 -0.25931 -0.020379 0.0019395 0.19802 -0.023384 -0.15176 -0.055659 -0.14695 -0.060801 -0.1692 0.13325 -0.59774 -0.00014862 0.57799 0.0081456 0.1338].
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 [28.69155 16.77428 3.06902 6.588276 110.3262 39.72462 17.15713 14.90757 19.6792 1.422793 3.042451 4.099349 12.29533 34.98254 13.66797 12.17127 27.4083 10.42693 6.229384 7.333429 33.60756 15.30664 10.96063 10.52371 23.10133 20.75572 21.89526 76.27033 28.69967 2.466902 20.65827 19.08804 0.7567493 4.91489 4.929055 0.9799823 3.2685 3.592531 2.730553 7.238391 5.531261 12.31225 9.103831 10.94893 3.009859 5.16675 1.797397 6.576255 1.456698 5.152455 2.87475 5.697949 5.218946 8.008025 6.05318 45.35518 58.73349 41.04988 17.81646 22.78369 15.63754 3.153019 88.364 22.82966 24.23696 4.413219 11.22242 15.15553 4.285692 1.286165 39.42826 11.1529 10.36211 5.259777 3.821484 -0.4576709 12.72194 8.443515 26.21684 34.62548 2.603206 5.393146 6.32048 2.990903 12.72668 10.32509 1.745013 10.47147 10.11082 12.6082 22.48763 8.65665 6.905501 18.90886 16.75241 6.133153 20.01051 12.35206 159.6676 103.6271 51.68385 29.54091 10.7923 8.484058 9.59461 20.25314 9.578776].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [2.53358 2.72842 -0.171192 2.45252 25.2844 2.80219 3.25409 4.10407 0.708153 0.380345 -0.0533829 0.0554615 0.61799 3.94856 1.35933 2.11007 2.6732 0.184407 0.412478 2.38578 3.0267 2.50596 0.271715 1.86951 0.812016 3.14222 0.812908 26.8036 -0.285939 0.0286771 1.26944 0.722894 0.805165 1.69215 0.378256 -0.0735084 -0.19447 0.615951 0.231517 -0.58666 0.276517 1.1853 0.480304 0.0581999 0.725669 0.179766 0.717309 -0.158867 0.809681 0.247091 -0.0817618 -0.10674 -0.423454 0.591963 1.35414 4.26476 5.89493 10.2621 4.68332 0.237986 1.24476 0.157967 2.63534 1.97565 2.25041 -0.124142 1.60567 0.134435 0.198234 1.62438 3.12298 1.81662 0.753746 0.091675 0.486094 0.139372 0.504258 3.0447 2.18174 2.77942 0.135007 0.445578 -0.911355 -0.399624 1.64058 1.7299 0.551812 1.45219 2.38292 -1.15899 3.52218 0.270715 -0.735516 3.00922 2.40077 0.385271 0.522766 2.56861 29.7953 15.0179 6.80324 -0.271299 0.902982 0.383645 -0.131681 0.895535 1.46316].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [2.1812 1.0929 -0.090844 0.32866 1.8519 0.023026 0.909 -0.044705 0.18471 -0.14521 -0.32742 0.060036 0.27696 1.3896 0.067953 0.64243 -0.60783 0.29415 0.24438 0.50039 0.69366 0.51388 0.14817 0.45405 1.1833 0.6279 0.19732 4.738 0.13854 0.15597 1.6985 -0.18059 -0.0429 -0.49059 0.055336 -0.16914 -0.51498 1.2986 0.21899 1.0063 -0.62513 0.4693 -0.25268 -0.35937 -0.0055741 0.067327 0.1081 0.19131 0.058713 0.21543 -0.3121 0.50607 -0.33007 0.12742 1.2301 0.2632 0.29477 2.5795 0.38641 0.077728 0.25588 0.43866 1.5034 0.32591 -0.046629 0.16972 0.0047668 0.058962 0.16867 0.07179 -0.20546 -0.49047 -0.021003 0.19517 0.13251 -0.056257 0.75408 0.63273 0.089656 -0.15777 0.027107 0.97974 0.31461 -0.082043 0.26232 0.74224 0.33424 0.30765 1.2604 0.007767 0.59505 -0.043216 -0.27097 0.16024 0.5703 0.0045293 0.39371 -3.4768 4.7461 0.73426 1.2808 0.15569 -0.11303 0.15825 -0.17135 0.32561 0.49756].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.54357 0.69103 -0.076523 -1.6768 0.66228 0.218 -0.72365 0.92776 0.30363 0.0026544 0.61874 -0.94432 0.18222 0.37699 -0.82974 1.1541 -0.046149 0.018409 -0.33019 -0.39975 0.68461 0.057705 0.6447 0.37263 0.99466 0.93965 0.06457 1.3859 0.88245 -0.035131 0.19394 0.04925 0.024614 0.20337 0.051518 -0.20174 0.049761 -0.1264 0.23254 0.063329 0.08805 0.27659 0.18542 -0.07235 -0.042668 -0.10455 0.15399 0.45703 0.064689 -0.046546 0.16118 0.41137 -0.039459 -0.64948 0.3144 -0.55205 -1.178 0.2991 -0.16799 -0.21176 0.2696 0.15517 0.9649 -0.0091572 -0.25711 -0.48658 -0.013657 0.28925 -0.55811 -0.11261 0.32802 -0.073115 0.27383 0.036238 -0.044607 0.04945 0.056893 -0.061662 0.75219 3.3115 0.042826 0.2148 -0.24537 -0.1455 0.043306 0.28627 0.1806 0.69003 0.014765 0.088796 0.24608 -0.011168 0.025223 -0.057772 0.36986 -0.17463 0.12611 0.053702 1.9714 0.20866 2.1656 0.074404 -0.08196 0.097338 -0.073984 -0.13932 -0.06324].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.80902 -0.6462 -0.11768 -0.0031768 -0.082844 0.66652 0.011344 -0.21618 0.0088457 -0.010574 -0.066913 -0.44153 0.17425 -0.037744 0.0093444 0.0051818 -0.019595 0.013899 0.15774 -0.11112 -0.058252 -0.06913 0.081763 -0.08607 -0.030796 -0.08523 -0.019487 1.369 -0.17124 -0.013898 -0.51596 -0.10791 -0.00039267 0.047801 0.0021306 0.076972 -0.27157 0.14635 0.048732 -0.033961 -0.11931 0.088659 0.020837 -0.051297 0.081848 0.031494 0.041474 -0.023722 -0.1653 0.0009855 0.020666 -0.07878 -0.033839 -0.25228 0.020308 -0.072647 -0.20412 0.054482 0.10679 -0.20886 -0.011315 0.012442 1.0436 -0.057385 -0.38085 0.16532 -0.040512 -0.020801 -0.061308 -0.040994 -0.60695 -0.016972 -0.24925 -0.026321 0.016116 -0.043273 -0.038816 -0.048665 0.074525 -0.10312 -0.0040703 0.06936 0.16717 -0.052932 0.010589 -0.026064 0.22613 0.072138 0.05553 -0.3152 0.10032 -0.056874 0.27411 -0.3142 -0.022428 -0.35665 -0.072554 -0.031647 -0.057425 0.020964 -0.22469 -0.035463 0.11294 -0.20218 0.091765 0.23535 0.031424].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-1.1341 0.35918 -0.34667 -0.38105 0.28362 -0.18916 0.26761 0.26012 0.021434 -0.024339 -0.025214 -0.054971 0.085562 -0.018434 0.06298 -0.13073 -0.7256 -0.0028531 -0.10584 0.43723 -0.086988 0.15692 -0.019812 0.097152 0.060364 0.15826 0.046472 0.01989 0.18757 -0.043453 0.70477 0.11552 -0.0060671 -0.0037584 -0.19342 -0.025192 0.23463 -0.039266 -0.19971 0.038572 -0.6734 0.1774 -0.030628 -0.043689 -0.12155 0.18414 -0.50961 -0.018554 0.34738 -0.10294 -0.0006064 -0.20315 -0.079457 0.047721 -0.0022159 0.079689 0.16637 0.00018027 0.018841 0.44859 0.049385 -0.022223 1.646 -0.065692 0.4106 -0.2545 0.064226 -0.14219 0.030302 0.18273 0.10714 -0.0084468 0.23174 -0.011858 0.097489 0.021086 -0.023154 -0.73959 0.016538 -0.20277 -0.03864 0.0012961 0.37519 -0.17741 0.0027723 -0.14867 0.35174 -0.032415 0.081297 0.40986 -0.019288 0.087639 0.0054269 0.30798 -0.038832 0.15051 -0.049337 0.034778 -1.0889 -0.03342 0.21185 0.058591 0.004069 0.28913 -0.069818 -0.017225 -0.12754].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.34704 -0.38683 0.41396 0.31284 -1.1692 0.13185 -0.22967 -0.020044 0.10493 0.033311 -0.29034 0.1794 0.015252 -0.361 0.014836 0.0083174 0.26947 -0.017549 0.25358 -0.3952 0.26608 -0.35667 -0.029866 -0.16512 -0.31686 -0.15512 -0.029375 -1.3385 -0.095863 0.11519 -0.28256 -0.019738 -0.0046193 0.17516 -0.13357 0.018074 0.072227 -0.1342 0.18319 -0.12204 0.06107 -0.395 0.03546 0.19254 -0.21367 -0.068018 0.010532 0.021632 -0.16806 0.13508 -0.033852 0.36176 -0.21361 -1.3003 -0.052675 -0.31037 0.19162 -0.31936 -0.26128 -0.14583 -0.0084915 0.025713 0.77434 0.064561 0.10334 0.053078 0.0018503 0.25908 0.042666 -0.0095735 -0.003536 -0.016002 -0.055111 -0.0036492 0.048856 -0.040852 -0.073881 0.020047 -0.081831 0.32486 0.0046334 -0.40452 -0.72679 0.12665 -0.036494 0.31191 -0.3856 0.076373 0.0024992 -0.041089 -0.040378 -0.19737 -0.15258 -0.053716 0.029942 0.3308 0.084778 -0.011979 0.13977 -0.0079504 0.0076297 0.050853 -0.087144 -0.077253 -0.0096795 -0.019671 -0.3071].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.17821 0.16753 -0.29278 0.080949 1.4898 0.0053092 -0.33683 -0.048698 -0.19382 -0.047757 -0.31792 0.0053128 -0.1872 0.37554 -0.027513 -0.011538 -0.44233 -0.045221 -0.2628 0.0052974 -0.13082 0.44928 -0.0033647 -0.070056 0.37539 0.15251 -0.1807 -0.020176 -0.20241 -0.027888 0.40257 0.020177 0.0065469 0.031287 0.32475 0.024286 -0.11119 -0.35347 -0.18401 0.11445 -0.29558 -0.32252 0.057235 0.0063103 0.097766 -0.14897 -0.51582 -0.18613 -0.085674 -0.10558 0.034394 -0.5202 0.19351 -0.017895 -0.31125 -0.11868 -0.00046589 0.31926 0.30121 0.18374 -0.0305 -0.11264 1.9887 0.030639 -0.059573 -0.14162 -0.0095425 -0.30079 -0.0032638 -0.024903 0.013161 -0.076152 0.076862 0.036679 -0.068019 -0.18901 0.091308 -0.044865 -0.099115 -0.64137 -0.060648 0.28679 -0.72735 0.11791 -0.018702 -0.11416 0.2168 -0.29147 -0.017982 -0.28421 -0.054195 0.18466 -0.032151 -0.55076 -0.24549 -0.21311 0.032228 -0.1872 -1.2945 0.014439 0.012711 -0.060503 0.082349 -0.027868 0.083417 -0.14477 0.33405].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.052054 0.31172 0.040206 -0.31005 1.6474 0.049406 -0.47148 0.024731 0.17358 0.050934 0.47924 0.093512 0.066245 -0.24888 -0.067627 0.12754 0.091435 0.059065 0.32975 0.077071 0.079285 -0.59344 -0.054726 -0.12451 -0.039781 -0.59731 0.073512 0.050348 0.044008 -0.011023 -0.42479 -0.080421 -0.077232 -0.26722 -0.11892 -0.0082125 0.029506 0.35783 0.077593 -0.0069682 0.2861 0.41259 -0.049822 -0.0074772 0.14534 -0.02919 0.064864 0.20479 0.22521 0.086094 0.0011867 1.1064 -0.1358 -0.018506 -0.0015566 0.42645 0.0035849 0.017848 0.0050155 -0.13038 -0.11579 0.056051 -0.66861 -0.013297 0.060901 0.0255 -0.017877 0.23717 -0.019499 0.010122 -0.057167 0.011212 -0.044706 -0.032156 0.016381 0.22085 -0.033905 -0.025151 0.18366 -0.25084 0.096665 0.26264 -0.00011917 0.031594 0.020383 0.11679 -0.40671 0.27821 0.0089982 -0.035963 -0.19047 0.023526 -0.0063914 -0.088769 0.24569 -0.12083 -0.049961 0.17152 1.3058 -0.067511 -0.11249 0.041037 -0.0086786 0.030961 -0.10208 0.17252 -1.0173].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.016651 0.0019088 -0.099981 0.076992 0.48735 -0.16371 0.36143 0.053016 0.015976 -0.039263 -0.029369 -0.30744 0.040915 0.20553 -0.081613 -0.25414 -0.49878 -0.02613 -0.23317 0.27319 -0.042845 0.12438 -0.058029 0.2938 -0.14025 -0.50591 0.11965 -0.060581 -0.14143 -0.14431 0.23607 -0.15425 0.078076 0.012478 0.11705 -0.0099114 -0.021949 0.15589 0.10729 0.014168 0.078629 0.31092 0.076697 -0.11293 -0.010134 -0.031908 0.079096 -0.043744 -0.0060638 -0.16487 -0.0066829 0.27128 -0.060897 -0.10107 0.29915 -0.32091 -0.24113 -0.011409 -0.11198 -0.083057 0.14308 0.022696 1.8267 -0.01866 -0.066231 0.28583 0.017443 -0.031184 0.0085213 -0.12826 0.013627 0.10544 -0.08564 0.025279 0.073668 0.00049434 -0.1069 -0.0085428 -0.13368 0.23728 -0.0066493 -0.056381 0.020653 -0.032689 -0.13017 -0.12628 0.49633 -0.1477 -0.022714 0.35482 0.25458 -0.063738 0.080379 0.34499 -0.11322 -0.064605 0.023151 -0.40552 -0.16786 0.085062 0.0080503 -0.031118 0.03047 -0.27585 -0.17761 -0.014985 -0.018705].
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 [0.39569 0.31364 0.51704 -1.0214 -0.066871 -0.28079 -0.082793 -0.074727 -0.043253 0.10475 0.12494 -0.78011 0.26474 0.29249 0.52776 -0.4617 0.1773 0.16414 1.9455 1.0185 0.17764 0.088798 -0.49406 0.1866 -0.020835 0.36839 0.87761 0.4996 -0.065585 0.23641 0.54346 -0.097728 -0.10802 -0.47103 0.0093479 0.55695 0.0059569 0.1555 0.068074 0.0011092 0.74542 -0.27623 -0.022885 -0.30859 -0.15013 -0.14136 -0.43223 0.052259 0.47799 0.014734 -0.0063179 -0.063384 0.28006 -0.17866 0.072 -0.059911 -0.092043 0.87229 -0.13985 0.039737 1.0234 1.1194 0.29258 0.14123 0.15913 0.37381 0.31736 0.5733 -0.24938 0.9668 2.6431 0.47982 0.096334 -0.23096 0.20615 -0.14031 0.55504 0.71599 0.21398 0.87085 0.077695 -0.056442 0.3701 0.37673 0.96561 0.013363 0.27739 0.11086 -0.085908 0.71598 0.030894 -0.22118 -0.093579 -0.70699 0.57841 0.17645 0.1137 0.74853 0.12218 -0.30644 0.66359 0.42412 -0.62532 0.30617 -0.1514 -0.04343 -0.014109].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.3678 0.4867 0.2574 0.20962 0.93993 -0.23831 0.040766 -0.62743 0.014594 -0.16345 -0.021356 1.4361 -0.14712 0.14798 0.36039 -0.082658 0.31696 0.091243 0.14947 -0.39781 0.1571 0.0084869 0.80992 -0.34037 0.011388 -0.052562 -0.015862 2.4923 -0.72729 -0.041454 0.1525 0.17413 -0.24591 0.13312 -0.2293 -0.4491 -0.27381 0.13495 0.075166 -0.019619 -0.27766 -0.3473 0.1092 -0.12823 0.11392 0.02315 -0.1297 0.22366 0.011302 -0.20293 0.19874 0.035937 0.12129 0.18272 0.21088 -0.013918 0.11556 0.90686 0.72637 0.11852 0.10119 -0.48952 -0.04819 0.43597 -0.082874 0.26446 -0.0084083 -0.21484 0.21898 -0.28121 0.43499 0.16628 -0.19587 0.090921 0.027639 -0.056183 0.16778 0.1397 -0.091405 -0.026091 0.027074 0.043556 0.0072536 -0.12575 0.22199 -0.31139 -0.013614 0.171 -0.85055 -0.16018 -0.0062114 0.1034 0.1997 -0.13206 -0.10215 0.12958 -0.81626 -0.015998 -0.056576 0.59718 -0.65524 -0.58161 0.074962 -0.0042538 -0.062908 0.20881 0.15161].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.088742 -0.045332 0.060296 -0.49067 0.55786 0.20378 -0.40983 -0.92381 -0.12327 -0.0013019 0.084 -1.2554 0.48513 0.13321 0.035802 0.020891 -0.32265 0.063201 -0.0054812 0.016818 -0.28956 -0.060801 0.2266 -0.035871 0.052662 -0.073386 0.11581 0.78438 0.087968 -0.035159 0.83053 0.18661 -0.52007 0.50525 0.0059833 -0.037479 -0.27267 0.12707 0.027185 0.051149 0.40488 0.15244 0.088416 0.056921 -0.061558 0.11565 0.16221 -0.26287 -0.1064 -0.50686 -0.093775 -0.00069178 -0.047882 -0.2253 0.00075682 -0.18108 0.57066 0.14212 0.1169 -0.0063824 0.0071106 -0.061466 0.27925 -0.13474 -0.15466 0.18956 0.056282 0.080956 -0.13388 -0.040687 -0.30878 -0.029285 0.2069 0.48764 -0.022451 0.053532 -0.040677 0.02833 0.13242 0.15994 -0.090253 -0.080628 -0.0010112 -0.1454 0.19468 -0.29224 0.0036871 -0.21228 0.080576 0.68748 -0.034903 0.81631 -0.0097744 -0.081192 -0.07514 -0.026318 -0.042333 -0.67324 -1.5193 -0.10056 -0.021987 -0.0049074 0.036266 -0.21807 0.34192 0.033762 -0.15157].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.047267 0.011055 0.13497 -0.37518 -0.20105 -0.33612 0.39696 -0.24768 -0.23517 -0.14806 -0.033888 -0.077863 -1.0276 -0.31493 0.047693 -0.4424 -0.12048 -0.013066 0.17052 -0.35495 -0.55801 -0.10942 -0.13645 -0.044446 -0.16599 0.059958 0.15363 1.0178 0.50169 0.011826 -0.1484 -0.14407 -0.043864 0.07805 -0.26062 -0.089871 0.36739 0.1289 -1.2698 0.64014 -0.093677 0.014701 -0.012701 -0.12599 0.076849 -0.039141 -0.90727 0.0025295 0.083353 -0.13707 0.1543 0.042792 0.57029 0.012605 0.13825 0.21963 -0.32859 -0.058908 -0.062013 0.14718 -0.047948 0.032088 -0.062919 0.068144 -0.15752 -0.75451 -0.057851 0.13085 -0.091943 0.024388 -0.088162 -1.053 -1.1134 -0.18089 -0.19725 -0.048014 0.034701 0.011109 -0.030818 -0.022833 -0.030867 -0.0098277 -0.087323 -0.059808 -1.0704 0.64145 0.52457 -0.32624 -0.004805 0.085407 -0.50181 0.16614 0.21124 0.33918 1.7604 0.0031283 0.11901 0.043038 -0.098243 -0.22866 0.62565 0.51141 -0.46206 0.11922 -0.031109 0.17501 -0.068404].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.045296 -0.83958 0.03809 0.50105 0.60513 0.40414 -0.11082 0.26458 -0.077455 0.091113 0.019747 -0.15218 -0.40784 0.94816 -0.361 -1.2847 -0.094714 -0.050603 0.025504 0.67562 -0.10613 -0.011136 -0.080228 -0.028683 0.25487 0.10581 -0.42473 0.64782 -0.025476 -0.083015 0.31636 0.077693 -0.074631 -0.098105 0.43667 -0.066772 -0.073713 0.061769 0.35227 -0.063819 0.17203 0.025758 0.5114 -0.21254 0.019748 -0.14216 -0.0047624 -0.16057 -0.057304 0.071161 -0.11328 0.066824 0.085144 -0.022977 -0.22541 0.050909 0.34302 -0.14204 -0.74129 0.063617 -2.544 0.03415 0.036144 0.004374 0.18291 -0.16331 0.073756 -0.024978 -0.063277 -0.065655 0.15946 0.12818 0.35778 -0.30565 0.27138 0.2096 -0.011076 0.0055997 0.042833 -0.24879 -0.37978 -0.019116 0.088083 -0.15998 -9.0334e-05 0.053151 0.099169 0.2291 -0.3526 -0.11712 0.18103 -0.016313 -0.22054 -0.30879 0.45338 -0.0025637 0.087503 0.020127 -0.36819 0.16723 0.17346 -0.019779 -0.016473 -0.075784 0.020511 0.13251 0.21024].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.027402 0.12189 -0.023367 -0.37318 2.3672 -0.0073483 -0.22286 -0.59947 0.29009 0.10274 -0.013806 0.24437 -0.21912 1.1276 0.15299 -0.1626 0.15002 0.080072 0.046126 0.14667 0.14502 -0.24166 0.096112 0.02778 -0.33147 -0.5315 0.32214 0.72313 -0.0026084 0.056539 -0.18441 0.11037 0.11379 0.098551 -0.30629 0.13054 0.17778 0.10877 -0.31946 0.16028 -0.48593 -0.060799 -0.1257 0.23448 0.010333 -0.026386 -0.031883 -0.32576 -0.040867 -0.24177 0.12227 -0.034953 -0.012252 -0.08681 -0.073287 -0.1036 0.032417 0.06722 -0.32488 -0.029325 0.08062 -0.11114 -0.12862 -0.050024 -0.0082128 0.17308 0.0038072 0.15638 0.14343 0.015853 0.028503 -0.069237 -0.085192 0.089149 0.10838 -0.033749 -0.0038758 -0.018473 -0.11152 0.22749 0.090198 0.057845 -0.31886 0.10855 -0.064644 -0.013423 0.073291 0.40106 0.34282 -0.10139 0.031657 0.061475 0.46385 0.052577 0.17745 -0.21095 -0.0083033 0.01675 0.42071 -0.015471 0.2786 0.010598 0.51229 0.012122 -0.06841 -0.12642 -0.01104].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.032731 -0.017981 -0.36674 -0.49442 3.3918 -0.17399 0.092706 0.42486 -0.072881 -0.036041 -0.031581 -0.082605 0.36724 0.56378 0.34919 0.35133 -0.17199 -0.0018568 -0.2527 0.12524 -0.011623 0.34115 0.098003 0.025475 0.33314 -0.19387 -0.28504 0.15267 0.030705 -0.013679 0.17568 -0.30212 0.021312 -0.048419 0.072706 -0.013723 0.024261 -0.030911 0.30729 -0.062664 0.37128 0.051198 -0.17421 0.13051 -0.028738 0.37375 0.013149 0.03916 -0.12582 -0.08611 -0.023807 0.087535 -0.00096949 0.066317 0.15993 0.10123 -0.023881 -0.17578 0.30047 0.0064673 -0.46781 0.079112 0.12359 0.020312 0.016034 -0.032693 0.040987 -0.36689 -0.29903 -0.07631 -0.0015363 -0.36856 -0.031547 0.3441 -0.0034286 -0.027701 -0.055298 0.015113 0.11813 0.028601 0.38912 0.051517 0.31651 0.067136 0.19966 0.020713 -0.22358 -0.12804 0.018048 0.18454 0.0043926 -0.25546 -0.061025 0.11376 -0.35701 0.2096 -0.11785 -0.12993 -0.019795 0.013273 0.10826 -0.25588 0.2873 -0.02133 0.089392 0.009087 -0.62632].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.038252 -0.34867 0.26779 0.77297 -1.9973 -0.33399 0.97571 -0.41129 0.10844 -0.29218 0.037487 -0.14452 -0.052418 -0.51438 0.0069129 0.34357 0.1423 -0.04061 0.086539 -0.5378 -0.2989 -0.0052835 0.26337 -0.0018374 -0.0084059 0.3385 -0.050038 -0.98046 -0.1533 -0.018406 -0.010465 0.20884 -0.17468 -0.017968 0.036528 -0.17482 -0.34168 -0.36293 -0.0072184 0.096615 -0.040388 -0.055656 -0.028378 0.028588 -0.0064931 -0.29375 -0.1388 0.45853 0.066256 0.099169 -0.12865 0.030922 -0.064585 0.013626 0.22874 -0.06838 -0.19379 -0.047976 -0.034383 -0.0064527 0.010223 0.013836 -0.26616 -0.18388 -0.044075 -0.17314 0.0015464 0.05352 0.10334 -0.065229 -0.15222 0.41699 -0.086764 -0.36989 -0.15436 0.059072 0.0686 0.0028885 0.00063866 -0.015361 -0.28315 -0.016301 -0.077419 0.03851 -0.049479 -0.00468 -0.18042 -0.14338 -0.0031825 0.13131 0.0011424 0.18502 -0.056572 -0.63419 0.36746 0.0071859 0.11603 0.11039 0.024375 -0.0058458 -0.48535 0.27228 -0.22975 0.05575 -0.0043631 0.2697 -0.017824].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.040647 0.076359 -0.1953 -0.34472 0.5312 0.09391 -0.44779 -0.19814 -0.037029 0.29613 -0.073238 0.21621 -0.078793 0.0043403 -0.3289 -1.1255 0.076852 0.043163 -0.031577 0.042223 0.28885 -0.092771 -0.29387 -0.0041006 -0.027754 -0.0093803 -0.042101 -0.1702 0.15626 0.068751 0.032596 0.045152 0.14694 -0.18418 0.038868 0.12325 0.33216 0.30612 -0.02516 -0.026355 -0.15215 0.01824 0.089767 -0.10138 -0.050707 0.23465 0.15068 -0.062723 0.073525 0.10395 -0.13304 -0.13912 0.08431 -0.0065103 -0.12541 0.062283 0.17433 0.30589 0.026526 -0.031893 0.12075 -0.072462 0.19036 0.17515 0.036468 0.19919 -0.022291 0.020226 0.25536 0.19088 0.12093 -0.51034 0.14783 0.39348 0.14745 -0.25699 -0.081438 -0.0017581 0.0023685 0.0064702 0.31248 -0.011187 0.073745 -0.0058516 -0.031523 -0.015367 0.39802 -0.085056 -0.049319 -0.7064 -0.016672 0.010297 0.15817 0.13451 -0.6708 0.0036497 -0.26149 -0.11629 -0.33733 -0.017103 0.16408 -0.11993 0.23512 -0.095139 -0.31047 -0.15915 -0.097423].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.067027 0.068857 0.040596 0.13722 -0.46705 0.41812 0.41272 0.53131 -0.029358 -0.21991 0.060541 -0.12511 0.011926 0.074499 0.51605 -0.23684 0.021646 -0.015722 0.16045 -0.031723 0.0068063 -0.20495 0.030798 -0.086063 0.03243 -0.19335 0.14654 0.20959 -0.030848 -0.020559 -0.14197 -0.013119 -0.052116 0.17772 -0.25808 -0.028115 -0.07252 0.078253 0.057475 -0.03632 0.33582 0.025663 0.16118 0.12941 0.097259 -0.26109 -0.073249 0.14887 0.045238 0.1126 0.21224 0.12503 -0.044506 0.025883 -0.22631 0.001597 -0.020102 -0.070505 0.0638 0.05733 0.18113 0.013393 0.081956 0.027077 -0.014019 -0.19078 -0.0031571 0.14971 -0.075924 -0.24363 0.018446 -0.22977 0.018576 -0.24481 -0.10854 -0.21316 0.081521 -0.010154 -0.073428 -0.010172 -0.64372 0.0083886 -0.65927 0.0056001 0.10191 0.018725 -0.083346 0.38271 0.033881 0.68208 0.012418 0.033873 -0.32371 -0.085998 0.14238 -0.050749 0.15481 0.1207 0.38442 -0.40493 -0.26081 0.13607 -0.00040957 0.17815 0.26567 -0.04631 -0.21668].
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 [0.34683 0.045917 -0.1137 -0.016242 0.25456 -0.22327 -0.47955 -0.01757 0.14179 0.11133 0.084074 -0.26851 0.024594 -0.26228 -0.10445 -0.21352 -0.23901 -0.49071 -0.25478 0.052556 0.42349 -0.12097 -0.16399 -0.28149 0.51534 0.30223 -0.019693 -0.01803 -0.014564 0.026918 -0.017412 0.043081 -0.021966 -0.31287 0.33684 -0.06342 -0.037024 0.14839 0.45435 -0.31883 -0.049374 -0.71639 -0.31921 -0.10958 0.0084868 0.4826 -0.024413 0.013669 0.011673 -0.0010509 -0.29813 -0.031901 0.50037 0.1761 0.19317 0.19152 0.095821 0.017177 0.038151 0.18893 0.21082 0.30628 1.0442 -0.099 -0.065266 0.18109 0.31821 0.63392 0.061354 -0.11958 0.013819 -0.33603 0.2081 -0.095834 -0.32283 -0.13935 0.33343 -0.12836 -0.097125 -0.53316 0.69189 0.1632 0.24131 -0.09922 0.1914 -0.3413 0.11024 0.16603 -0.1208 0.14241 -0.96074 -0.016381 -0.4744 0.017205 0.052291 -0.053649 0.18775 0.12794 1.5449 0.0025319 -0.60658 -0.32675 0.068801 0.037631 0.021045 0.18087 0.012619].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.042413 0.15667 -0.22441 -0.29238 1.8916 -0.090995 0.21463 -0.079841 -0.61118 -0.11597 0.041246 0.29168 0.22448 -1.1815 -0.54412 0.14757 0.31534 -0.16709 -0.18762 0.04644 -0.21432 0.28422 0.24861 0.19789 -0.090999 0.014784 0.046026 1.536 0.10762 0.085105 -0.043226 -0.23886 0.11099 0.40748 0.01839 -0.17994 -0.11235 -0.046009 0.067163 -0.10456 -0.18672 0.016124 -0.012855 0.68706 -0.0035707 -0.28105 -0.51831 0.28174 0.0014686 0.40558 -0.080275 -0.19597 -0.039058 -0.24442 0.0078792 0.16234 0.34629 0.20129 -0.25056 -0.50124 0.31214 0.17347 1.2128 -0.73163 -0.30036 0.55662 -0.12367 0.28373 0.21294 -0.14052 1.1768 -0.035086 -0.279 0.23995 0.013261 0.19646 -0.37594 0.092719 0.39809 -0.50501 -0.15098 0.0021921 0.35358 0.078135 0.078084 -0.098855 0.10024 -0.42839 0.41081 0.020149 0.068408 0.04194 -0.011412 0.91698 -0.21567 0.11097 -0.012614 -0.23767 -0.020308 -1.3559 0.22947 -0.21288 -0.021645 0.27145 -0.020778 0.084273 -0.001355].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.23673 -0.052777 -0.047759 -0.1427 0.29294 -0.20801 0.011707 0.21238 0.049853 -0.094001 -0.049298 0.11893 -0.074188 -0.0062957 0.019718 0.47142 0.21196 -0.0015908 -0.013949 -0.11088 -1.0281 -0.19215 -0.40492 0.013391 -0.030444 -0.23029 -0.28532 0.051097 0.0027743 0.012859 0.054998 -0.40292 0.09236 0.062873 -0.015711 -0.35062 0.17446 -0.013728 -0.072355 0.22861 0.12444 -0.017998 -0.60406 -0.2156 0.23802 -0.018376 -0.027138 -0.051823 -0.089649 0.089706 0.078976 -0.11548 0.19361 -0.055882 -0.048951 0.50375 -0.016417 -0.15144 0.21852 0.034621 -0.22754 0.035249 1.8538 -0.021946 0.24749 0.12036 -0.0016638 0.11663 -0.57918 0.15322 0.25609 0.0011264 -0.031979 -0.639 0.023447 0.037939 -0.048809 -0.54352 0.52828 -0.012747 0.039541 -0.084061 0.38426 -0.00071903 1.0917 -0.21854 -0.056252 -0.0086417 -0.23382 -0.29316 0.29933 0.66811 -0.086168 -0.14524 0.010272 0.044579 -0.33876 -0.0067008 0.46503 -1.2773 -0.051358 0.26821 0.54727 -0.097007 -0.0010373 -0.02636 0.26995].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.64024 -0.39431 -0.17021 0.24659 0.18262 0.64672 -0.037478 0.10917 -0.17278 0.12093 -0.10564 -0.0315 -0.15537 0.20405 -0.14339 -0.050824 -0.055349 0.1638 0.071708 -1.0208 0.13232 -0.0025677 0.20515 0.087764 0.46075 -0.10272 -0.37752 -0.10364 0.30574 -0.0046849 -0.015263 0.01565 -0.0010446 -0.067381 0.17252 -0.017451 -0.052976 0.053886 0.38663 -0.096896 -0.15522 -0.13864 0.031702 -0.069109 -0.02272 -0.12182 0.036809 -0.21323 0.20916 0.094743 0.109 0.2826 0.034033 0.11174 0.12243 -0.03579 -0.036709 -0.24199 -0.18946 0.034878 0.03441 0.0193 0.71394 -0.25223 -0.42309 -0.0056558 -0.16334 0.086415 0.0094755 0.13223 0.17801 0.16544 0.044684 -0.013301 -0.062562 -0.099958 1.3559 0.079876 -0.052971 0.037589 0.063366 -0.18479 -0.25028 -0.33106 -0.1111 0.049867 0.082485 0.047412 0.038725 -0.083948 0.1171 0.22759 -0.12792 -0.069625 0.29825 -0.0091397 0.015272 0.15687 -0.12891 0.59544 0.68699 -0.28126 -0.11407 0.067759 -0.51912 -0.6664 -0.35675].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.030791 0.36458 0.18853 -0.19028 0.052629 0.29208 -0.049384 -0.26719 0.059903 -0.0065211 0.13196 -0.068835 0.50482 -0.5159 0.13923 -0.64072 0.10771 -0.22927 0.027467 0.021294 0.086408 -0.29257 0.040058 -0.094932 -0.48716 -0.002117 0.36368 0.023241 -0.20088 -0.0077425 -0.10364 0.014088 -0.093505 -0.12808 0.11367 -0.15312 -0.16908 0.21436 -0.41062 0.29372 0.12666 -0.29175 -0.27842 0.21168 0.0023666 0.10639 0.15635 0.35003 0.13047 0.016729 -0.068994 -0.81029 0.099899 -0.024475 -0.037523 -0.13316 0.016471 -0.042931 0.21581 0.0040845 -0.59942 -0.070266 0.25292 0.11965 0.39041 0.0046462 0.079581 -0.010173 -0.052028 -0.35811 -0.074353 -0.74124 0.15168 -0.14451 0.078226 0.25974 0.035789 0.011436 -0.013013 -0.089961 0.011835 -0.025706 0.34641 -0.069101 0.17989 0.0030824 -0.40199 0.014966 -0.1394 0.085463 -1.1841 -0.18772 0.12341 -0.25864 -0.15777 -0.73654 0.0033569 -0.3832 -0.034176 -0.076156 -0.11453 0.28788 0.17915 -0.10075 0.10856 -0.42316 -0.24589].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.02081 -0.21322 -0.29262 0.18185 0.069526 -0.10857 0.044768 0.24559 -0.34986 -0.14126 -0.032289 -0.1728 -0.085065 0.13045 -0.030221 0.31587 -0.078877 0.33858 -0.015558 -0.25511 -0.24438 0.33507 -0.034175 0.083337 0.53304 0.043768 0.0023714 0.0025976 0.20199 0.060086 -0.39221 -0.052179 0.072845 0.046677 -0.38017 -0.06434 0.12123 0.022295 -0.27239 -0.16628 0.025654 0.34315 0.19144 -0.0035608 0.023378 -0.28545 0.03168 -0.22343 -0.071934 -0.0075817 -0.059076 0.12764 -0.19522 -0.21607 0.03832 0.016551 -0.085591 -0.038947 -0.032776 -0.0087911 0.047031 0.051244 -0.30403 0.081493 -0.15411 0.06927 0.17539 -0.0038397 0.05962 0.30943 0.088244 -1.0253 -0.010566 0.11326 -0.096083 0.022526 -0.001886 -0.0035171 0.016646 -0.048491 0.018892 0.13253 -0.0383 0.25021 -0.030781 0.0052807 0.44641 -0.024921 0.1529 -0.048197 0.19791 -0.046425 0.0013967 0.42157 0.13001 0.3786 -0.019382 -0.43728 0.031173 0.060482 -0.057017 -0.18339 0.054841 0.15914 -0.010826 -0.31789 0.8363].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.04255 -0.81065 0.24727 -0.18608 -0.05046 -0.059272 -0.10389 -0.57677 0.52634 -0.45943 -0.53817 0.25038 -0.086069 0.020604 0.032071 -0.046232 -0.62132 -0.51053 -0.0014618 0.14176 0.091279 -0.30705 0.072469 -0.045419 0.009118 0.030224 0.087106 -0.20234 -0.18911 -0.187 0.48942 0.026043 -0.041979 0.33047 0.22375 0.2712 -0.0070243 -0.84756 0.62201 0.12641 -0.07254 0.037611 -0.011087 -0.26464 -0.0574 0.36966 0.081814 0.05981 0.067488 -0.14612 0.066774 0.026215 -0.030138 0.26701 -0.10085 -0.057807 0.084328 0.03098 0.043194 0.0044644 -0.073363 -0.27732 0.22343 0.012437 0.28766 0.016444 -0.01718 0.028892 0.011324 0.11492 -0.083686 0.39927 -0.17225 -0.021329 0.045485 -0.016074 0.0081602 0.010135 0.016262 0.050952 -0.013993 -0.035565 0.038588 0.22612 0.040997 -0.13458 -0.04337 0.019513 -0.049373 0.062321 0.073726 0.25777 -0.21267 -0.21989 -0.45381 -0.77024 -0.0026518 0.79527 0.01226 -0.91615 0.15791 -0.026546 0.0017237 -0.014881 -0.060606 -0.095949 0.44494].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.34246 -0.042252 0.07465 -0.021372 0.0090324 -0.11758 0.10933 -0.16368 0.085384 0.12667 -0.24281 0.031533 0.079057 -0.051154 -0.0032673 -0.7113 0.088593 0.08825 0.056264 0.12782 0.18902 0.073278 -0.28527 0.054328 0.048178 -0.055133 0.14958 0.24005 -0.23702 0.13711 0.017632 -0.43615 0.046951 -0.49988 -0.10225 0.080248 0.055463 -0.14363 0.18357 0.11126 -0.057646 0.062677 0.14342 0.25769 0.042643 0.035163 -0.23992 -0.080931 -0.21998 -0.095637 0.13036 -0.04661 0.21609 -0.36673 0.097783 0.093723 0.051705 -0.069503 0.0037333 0.0012629 -0.75551 -0.00039151 -0.98982 0.0096615 -0.082502 0.055498 -0.098698 -0.089216 -0.0081756 -0.35437 -0.013176 -0.11058 0.074635 0.14224 0.0025245 -0.19597 -0.040573 -0.008318 -0.053077 0.17715 0.017014 0.038235 -0.10719 -0.010083 -0.073378 -0.067155 0.016625 -0.29831 0.0099306 -0.019476 -0.36985 -0.38565 0.069321 -0.33788 0.41798 -0.037989 -0.016552 0.035407 -0.26468 0.027118 8.5975e-05 0.20668 -0.32428 -0.0098045 0.13975 0.43616 -0.027809].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.17848 0.036401 -0.15 0.081812 -0.25248 -0.017391 -0.92016 0.18025 0.038469 0.032431 0.24289 -0.3085 -0.29318 -0.057309 0.002511 -1.0553 -0.53104 0.0131 -0.10924 -0.0028095 -0.23799 0.13112 0.25461 -0.0048994 -0.027859 0.06204 -1.0989 0.020837 0.44626 0.0089267 -0.12381 0.44736 -0.25733 -0.44077 0.1985 0.19998 -0.094398 0.092012 0.10968 -0.32803 0.10984 -0.014192 -0.097216 -0.097063 -0.018469 -0.26087 0.1936 0.17206 -0.17143 0.23603 -0.23563 0.071969 -0.69618 0.072066 -0.068854 0.078394 -0.048788 -0.0096021 -0.0050527 -0.059746 -0.6068 0.11619 2.0747 0.020548 0.11431 -0.19709 0.11406 0.10069 -0.041228 0.015154 -0.25367 -0.64959 0.045888 -0.059288 0.027527 0.082218 -0.027627 -0.0096508 -0.11708 -0.24186 -0.052011 -0.15667 -0.12284 0.0025371 0.063478 0.20171 0.016651 0.28644 0.033809 -0.0072717 0.36985 0.30114 0.12667 0.69714 0.13152 0.026695 -0.021776 -0.43632 -0.35673 0.13557 -0.12966 -0.2905 0.32261 -0.0090469 0.094313 0.49458 -0.0044704].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.19358 0.015487 0.097244 -0.25232 0.30486 0.27933 0.37669 0.045192 0.0031244 0.46397 -0.12101 0.35641 0.12644 0.077462 -0.21409 0.014476 -0.055765 -0.0095882 0.014234 0.00020111 0.15608 -0.23918 -0.20243 -0.030738 -0.12854 -0.029532 -0.030311 -0.42769 -0.046659 -0.099856 0.1234 -0.24868 0.24611 0.95432 -0.088611 -0.32754 0.092505 -0.36531 -0.14261 0.080283 7.9384e-05 -0.08117 0.094029 0.10299 0.037166 0.095657 -0.3108 -0.052364 0.19106 0.018178 0.045027 -0.11478 0.066352 -0.39147 0.03634 -0.15245 -0.078979 0.063561 -0.085079 0.056723 0.23775 0.090021 0.14511 -0.2179 -0.17307 0.0015115 -0.061662 -0.0038785 -0.080248 0.089902 0.24558 0.1604 0.06052 -0.057086 0.011183 0.0736 -0.041096 0.0090832 0.13597 0.29105 0.034612 0.042003 0.23064 -0.016618 -0.023978 -0.0062456 -0.018041 -0.10193 0.0068043 -0.0048581 -0.11979 0.0071745 0.0040995 0.22996 0.044006 -0.52598 -0.022054 0.4571 0.63095 -0.2392 0.052872 0.27847 -0.36075 -0.51256 -0.16233 -0.2913 0.023738].
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 [0.36304 -0.25485 0.052388 0.014602 0.58073 0.14397 -0.63562 -0.022388 -0.0010769 -0.17012 0.085798 -0.035052 0.16285 0.017204 -0.096729 -0.070082 -0.046429 0.063323 -0.036405 -0.055805 -0.0099946 0.14781 -0.038116 -0.3546 0.19321 0.019333 0.36112 -0.056318 0.19205 0.19543 0.20615 0.0030091 -0.13484 -0.026504 -0.0060412 0.16262 -0.14556 0.079086 -0.19466 -0.035535 0.067411 -0.67796 -0.21128 -0.029284 0.029149 -0.017632 -0.072671 -0.29082 0.099595 0.050934 0.084283 0.22878 -0.011362 0.061088 0.073313 0.038177 1.5726 0.018558 -0.23286 0.052264 -0.067706 -0.066178 -0.046268 -0.12461 0.063109 0.17942 -0.15432 0.1526 0.40992 -0.18235 1.9709 -0.45977 0.23637 -0.066406 -0.024646 -0.38867 0.058668 0.12088 -0.11111 0.3172 -0.15039 0.78192 -0.19274 -0.12478 0.29933 -0.042882 0.070429 0.018992 0.0094662 0.45412 -0.32353 -0.22232 0.13411 0.18179 -0.10483 0.071495 -0.16803 0.608 -0.73575 1.6288 -0.56675 0.026086 -0.82369 0.11656 0.049424 0.022215 -0.58718].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.014094 -0.14889 0.14898 -0.5424 1.3614 -0.7885 -0.088665 -0.21 -0.13034 -0.075658 -0.14429 -1.0741 0.0012728 -0.19533 0.050411 0.087729 0.17602 -0.37238 -0.18435 0.07899 0.2464 0.20043 0.13509 0.019961 -0.041659 -0.16673 0.0031947 -0.90086 0.081113 -0.026242 -0.45527 -0.46994 -0.010633 -0.26404 -0.009503 0.10428 -0.020254 0.56804 0.34305 -0.18212 -0.020421 -0.021206 -0.012652 0.058973 -0.064786 -0.14519 -0.11879 -0.44515 -0.053729 0.022646 -0.075285 -0.081081 0.16784 -0.081576 -0.031874 0.065572 -0.37208 0.46583 -0.57721 0.36045 0.18158 -0.78692 -0.77498 -0.01453 -0.050681 0.069976 -0.042239 0.14031 -0.40749 0.027792 0.015283 -0.20215 0.39574 0.065473 0.027735 -0.1319 0.031022 -0.013021 -0.036451 0.38551 -0.1326 -0.08188 0.07525 -0.087894 -0.15783 0.029441 -0.12503 0.095154 0.059541 0.061023 0.0053915 0.1289 0.007463 -0.4037 -0.029642 -0.080541 -0.8017 0.17016 -1.0959 0.22835 0.022043 -0.15572 0.0083493 -0.041225 -0.76302 0.37486 -0.19416].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.17165 0.021423 -0.08046 0.28686 0.47636 -0.44659 -0.43597 0.03884 -0.063895 -0.41329 0.25491 0.035521 -0.076378 -0.33584 0.016162 0.036309 0.034779 0.17521 0.13925 0.0061405 -0.059679 0.03136 0.012241 0.073627 -0.015391 -0.52642 0.1096 -1.0987 0.080588 0.079875 -0.0015074 -0.031752 -0.064402 0.035839 -0.050086 0.14298 -0.097708 -0.14384 0.13778 -0.25559 -0.13715 0.75519 -0.54599 0.14079 -0.02399 -0.037446 -0.39545 0.013339 0.22698 0.071637 -0.10264 0.79007 -0.062461 -0.0087299 0.17625 0.060464 -0.30686 -0.30498 -0.054866 -0.21431 -0.13077 -0.10386 -0.41075 -0.0070584 0.41532 0.063635 -0.050484 0.12375 -0.021175 -0.13827 -0.13718 0.61382 -0.18305 -0.037282 0.082633 -0.3289 -0.16506 -0.1702 0.028854 -0.90235 0.25377 0.010124 0.65033 0.10594 0.24973 0.66897 0.0016208 0.17763 0.027776 -0.020681 0.14909 -0.089719 0.3439 0.52051 0.016537 0.32891 0.10621 -0.11641 0.8196 0.54032 -0.013595 0.32354 -0.28666 0.01853 0.1071 -0.2702 -0.032922].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.11983 0.25554 -0.17341 0.027739 -0.5147 0.096555 -0.22313 -0.47267 0.096099 0.067276 0.1163 0.15663 0.21856 -0.30728 -0.061768 -0.17113 0.032638 0.010636 0.33656 0.012039 -0.12234 -0.025307 0.15349 0.066883 -0.049842 -0.074705 -1.2329 0.10227 0.074778 0.13509 -2.0778 -0.026334 -0.15749 0.073789 -0.15549 0.048457 0.16509 -0.11882 -0.070194 -0.03791 0.091177 -0.0058768 -0.052442 -0.39993 -0.15548 0.0019353 -0.066239 -0.11973 0.088572 0.16927 -0.74268 0.21169 0.23095 -0.018708 -0.013863 -0.011515 -1.03 -0.45157 -0.196 0.42428 -0.074989 -0.26695 0.246 0.12974 -0.052356 -0.48796 0.031814 0.10615 0.024494 -0.028568 -0.28553 0.23002 0.30096 0.10477 0.085566 -0.035636 -0.20858 0.46623 0.3389 0.46655 -0.013622 -0.15262 -0.10236 0.0032795 -0.15963 -0.056511 -0.0098279 0.1493 -0.29196 -0.051345 0.043497 0.015032 -0.30271 -0.04683 -0.010562 -0.68222 -0.16055 -0.35177 0.64951 0.63803 -0.51902 0.026977 -0.041227 -0.051215 -0.2157 -0.071562 -0.37353].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0043705 0.0049112 0.1122 0.034829 1.124 -0.53796 0.10264 0.24951 -0.23685 -0.0035342 -0.011528 0.026267 -0.0067827 0.10332 -0.02959 0.30135 -0.27512 0.067318 0.124 -0.033077 0.077954 0.083952 -0.051606 -0.35059 0.11398 0.31036 0.53521 0.067482 -0.011095 -0.21688 0.029789 -0.46832 0.46748 -0.042995 0.22177 -0.013772 -0.35442 -0.13024 -0.015368 0.037349 -0.072205 -0.27911 -0.045215 -0.232 0.3528 0.0013319 -0.00067975 0.14461 0.021756 -0.29233 -0.08096 -0.18677 -0.23541 -0.024529 -0.00036041 0.096211 -0.0094679 -0.62771 0.017707 0.096567 -0.25162 0.33871 -0.072566 -0.060027 -0.57479 0.47744 -0.17902 -0.043786 -0.19031 0.11514 0.6164 -0.34268 -0.56888 0.0048922 0.03294 -0.037991 0.21499 -0.26178 -0.11306 0.1545 0.0038809 0.54223 0.096561 -0.070314 -0.5953 -0.068618 0.022434 -0.33808 -0.12249 0.37704 0.065669 -0.2602 0.52001 0.023219 -0.45146 -0.051437 -0.25762 0.27404 -0.24029 -0.14405 -0.092998 -0.019459 -0.07947 0.045304 0.076626 0.036562 0.36371].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.033151 -0.2922 0.060877 -0.098365 -1.0848 0.4951 -0.44373 0.082683 0.052922 0.15382 -0.030125 -0.13719 0.064103 0.16519 0.012338 -0.65613 0.25028 -0.80512 -0.78197 -0.17352 -0.0069574 -0.71225 -0.13822 0.47401 -0.057877 -0.50454 -0.099009 0.0069326 -0.032556 0.094216 -0.046127 0.32045 -0.089328 0.045831 0.067751 0.019225 0.39686 0.10033 -0.010464 0.045442 0.1614 0.16428 0.02934 0.21887 -0.098492 -0.25993 0.17723 -0.19496 -0.094693 -0.061712 -0.11853 0.20409 0.29492 0.092017 0.016049 -1.37 0.27459 -0.082621 -0.30137 -0.0085052 0.24294 -0.010481 0.068947 -0.078591 -0.378 -0.05749 0.18364 0.035692 0.29134 -0.33494 0.72299 0.10244 0.47131 0.19244 -0.042298 0.0071902 -0.12054 0.011198 0.52826 -0.073819 -0.32903 -0.024962 -0.21072 -0.12467 -0.24914 0.11113 -0.14046 0.15048 0.47586 -0.35005 -0.060008 0.2342 -0.50382 0.015386 -0.71732 0.21099 0.30956 -0.27792 0.27896 0.016521 -0.37487 0.052851 0.069073 0.013419 -0.29647 -0.0017654 -0.56403].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.087969 0.29602 0.0048767 -0.00064311 0.027955 -0.7677 0.55109 0.088949 0.17299 -0.23145 0.20394 0.14093 -0.040356 0.043763 -0.12396 -0.65635 0.055598 -0.017795 -0.054128 0.19197 0.031274 -0.12821 0.018163 -0.2742 0.052184 -0.061543 -0.1647 -0.10383 0.0052104 -0.11052 0.052578 0.047156 -0.082592 -0.019098 -0.12831 -0.017051 -0.65857 -0.19648 0.017931 -0.61346 -0.003556 -0.067444 -0.042983 0.24164 0.060615 0.26454 0.00043226 0.1665 0.08481 0.42615 -0.07681 -0.066267 -0.161 0.0022247 -0.010882 0.49377 0.011121 0.13184 -0.010555 -0.2158 0.050649 -0.04116 -0.1063 -0.23319 -0.12135 -0.16769 -0.026015 -0.012055 -0.034946 0.42288 0.12003 0.37037 -0.0070247 -0.37449 -0.02457 -2.7852e-05 0.12104 -0.077172 -0.03612 0.059469 0.3348 0.042472 0.11063 0.1806 0.062767 -0.077345 -0.025474 -0.02269 0.10944 -0.010731 0.080867 -0.031481 -0.18181 -0.11155 -0.32265 -0.30224 0.05468 0.29264 -0.14624 0.045401 0.39322 -0.0094853 -0.025067 -0.024851 0.32857 -0.047878 0.085713].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.13165 -0.03201 -0.0054611 -0.41138 0.32425 -0.89221 0.018383 0.10326 -0.0045662 0.13325 -0.21778 -0.1002 -0.059 0.024059 0.087855 -0.11774 -0.09726 -0.080673 0.0079964 0.017921 0.0064066 0.24338 0.15867 0.015331 -0.2397 0.18469 0.27427 -0.098954 0.0098103 0.1251 -0.096912 -0.062007 -0.15919 -0.017916 0.19867 0.014834 0.11345 -0.18588 -0.0062132 0.83447 -0.29883 0.18635 0.014939 -0.15999 0.026788 0.034264 -0.22279 -0.05533 -0.051954 -0.23768 0.20376 0.087592 0.12893 -0.14657 -0.1173 -0.30947 0.014798 -0.13086 -0.54363 0.05625 0.00026416 -0.21908 0.10204 0.3236 0.56797 0.17432 -0.06239 0.0073639 -0.54993 -0.078291 -0.016953 0.0071553 -0.023506 0.28566 0.29111 0.07184 -0.075949 0.026763 -0.72779 -0.0090553 -0.028196 0.025479 0.096368 -0.0046356 0.91861 0.044226 0.13605 0.11107 -0.002545 0.46123 0.009549 0.014073 0.23111 0.023788 0.93952 0.28873 -0.029416 -0.14526 0.13328 -0.11217 0.063284 -0.066256 0.05187 0.021652 0.078679 0.059217 -0.09814].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0063077 0.01937 0.0014062 0.7423 -0.10983 -0.54282 0.48101 -0.10637 0.018524 -0.22763 -0.037651 0.053826 0.10496 0.021029 -0.0025292 -0.21478 -0.08522 0.00071699 -0.0086897 -0.0005346 -0.062147 -0.13971 -0.26507 0.23724 -0.30893 -0.0027017 -0.48429 0.045004 -0.037333 -0.04552 0.063876 0.13982 0.068978 -0.20899 -0.55733 -0.055275 -0.083323 -0.14516 0.026878 -0.1921 0.26338 -0.0043421 0.05112 -0.082725 -0.023439 0.0081488 0.22675 0.055299 0.0023196 -0.39049 -0.059223 -0.12189 -0.058793 0.13718 0.12718 0.22201 -0.0016674 -0.18176 -0.16636 0.17551 -0.14166 0.36161 -0.0043164 -0.034738 -0.0034823 0.012959 -0.15323 -0.068147 0.14876 -0.066732 -0.017407 -0.013969 -0.10206 0.021461 -0.77211 -0.086988 -0.04797 0.11538 -0.10468 -0.073246 0.038303 0.0064836 -0.18243 0.022452 0.38193 0.014709 0.036705 -0.025725 -0.27918 -0.4387 -0.17153 0.043451 0.16052 0.13757 -0.86665 -0.13655 0.014022 0.035312 -0.084676 0.012991 -0.078587 0.079159 -0.022957 -0.0052387 -0.21268 -0.008226 -0.90306].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.00088871 -0.05075 -0.015948 0.39812 -0.10182 0.70696 -0.34137 -0.26586 -0.065246 -0.082606 0.015267 -0.037056 -0.034827 -0.24522 0.035008 0.20951 0.069751 0.15515 -0.043848 -0.026557 -0.41097 -0.16399 -0.47711 -0.0043874 0.030987 -0.078721 0.37859 0.15922 0.066295 -0.012114 -0.1036 0.036709 0.19395 0.24526 0.015161 0.039019 0.026442 0.22988 -0.0021924 -1.0219 -0.12072 0.0024576 -0.074381 0.028798 -0.15002 -0.012459 -0.21236 0.045465 0.019656 0.29998 0.061522 -0.61763 -0.28867 -0.00088038 -0.021647 0.048914 -0.019377 0.26658 0.29927 -0.020471 0.142 -0.083432 -0.034289 0.076539 -0.32712 0.025296 0.11131 0.06059 -0.33686 -0.35312 -0.3431 -0.24004 0.12914 -0.31079 -0.53129 0.092925 -0.316 0.16704 0.097708 0.053258 0.0059697 -0.095373 0.17606 -0.094306 -0.1327 0.023391 -0.10405 -0.20792 0.035594 0.067741 -0.01893 -0.06477 -0.5938 -0.0099553 0.15405 0.14392 0.014963 -0.1568 0.080594 -0.033674 0.10948 -0.13976 0.024159 -0.093599 -0.041181 0.0077216 0.27109].
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 [0.33102 -0.88821 0.25229 0.39865 0.72677 -0.32101 -0.048317 0.0025872 0.16589 0.19179 -0.11553 -0.095608 -0.17785 -0.0079207 -0.71929 0.19579 -0.18428 0.10486 0.0092233 0.077617 -0.11987 -0.76476 0.054473 0.064998 -0.3403 0.12935 -0.24535 0.027032 -0.07457 -0.18853 -0.21696 -0.03583 -0.030521 -0.39261 0.44826 -0.058621 0.13785 -0.0022297 0.415 -0.34747 -0.019362 -0.20841 0.4017 -0.38363 -0.013712 -0.20404 -0.3031 0.025579 0.24772 -0.026875 0.0044541 -0.40182 0.31083 -0.19971 0.15838 -0.25214 1.2811 0.31803 -0.014008 0.15165 0.00046649 -0.33275 0.14282 -0.047784 0.57979 -0.019687 0.40017 0.064486 -0.030741 -0.4098 0.020082 -0.19415 0.010695 -0.40369 -0.067129 -0.048202 -0.18712 0.015053 -0.11559 0.092519 -0.032158 -0.043577 0.29166 0.13048 0.057086 0.93981 -0.060423 -0.1164 -0.19302 0.29031 0.0062414 0.017311 -0.12949 0.25578 -0.13052 -0.027243 0.384 -0.087126 -0.65234 0.62941 -1.956 0.4183 -0.15418 -0.096421 -0.25229 -0.10423 -0.12229].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.8138 0.50658 -0.011483 0.00094801 0.034756 0.0011151 -0.2688 0.039094 -0.018839 -0.06644 -0.024463 -0.050608 -0.0093423 -0.097201 0.020591 0.096393 0.66892 -0.019129 -0.22002 -0.011655 -0.25387 -1.164 0.28214 0.032768 0.0022265 0.050933 -0.057663 0.3393 -0.90657 0.01331 0.27623 0.33974 0.0018912 0.045433 0.067109 -0.48066 0.059701 0.11348 0.039308 -0.74846 0.28551 0.079145 -0.58154 -0.36602 -0.015358 0.0024207 -0.61299 -0.032569 -0.21331 -0.079926 0.34438 0.03401 0.041859 -0.74082 0.069288 -0.34704 -0.51049 0.40791 0.007025 0.022564 0.013763 -0.048493 0.17614 -0.082615 0.012621 0.10855 0.09309 -0.11169 -2.6661 0.21913 0.38466 -0.23839 -0.11139 0.032455 0.031327 -0.038101 0.24593 0.67689 0.84855 0.56289 0.29237 0.17221 -0.050568 0.78089 -0.17755 -0.13625 -0.0020647 -0.018517 -0.12468 0.11072 -0.043054 0.099754 0.07382 0.49708 -0.80592 -0.02549 -0.038135 0.035119 -0.69565 -0.2894 0.48217 0.71336 -0.1768 0.022687 -0.027124 -0.073946 0.029555].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.043075 0.3079 -0.0076051 -0.0043293 -0.062064 -0.047869 0.23088 -1.0146 -0.12018 -0.010406 -0.0015694 -0.070998 -0.18711 0.19538 0.068718 -0.09189 0.096233 -0.0089402 0.091053 -0.021985 0.030427 0.58522 0.083488 0.028481 -0.13607 -0.082076 0.052254 0.48156 0.0035033 -0.059007 0.79778 0.050589 -0.073886 0.046833 -0.12122 0.039463 0.13905 0.0052437 0.034161 0.98727 0.53193 0.024364 -0.040143 -0.097673 0.025485 -0.052014 -0.11687 0.074478 -0.029664 0.05648 -0.11414 0.35576 -0.014042 -0.42561 0.05747 0.4388 -0.22138 -0.34769 -0.21527 0.12125 -0.0014534 0.12881 0.13585 0.053234 -0.39109 -0.2323 0.0018554 -0.20299 0.076756 0.06443 0.21297 0.10425 0.10553 -0.15419 0.12437 -0.044967 -0.075258 0.19729 -0.24241 -0.02257 -0.0070058 0.012283 -0.17299 -0.094559 -0.14739 -0.80452 0.017462 0.10945 -0.23998 -0.32834 0.15004 -0.33562 0.15752 0.056228 -0.00053621 0.0064968 -0.0027849 0.029874 0.65184 0.03787 0.11193 0.22204 -0.00077392 -0.39529 -0.014188 0.0021302 -0.56602].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.40859 -0.011129 -0.0091626 0.24492 -0.43226 -0.17443 -0.15891 -0.46745 0.053115 -0.026385 0.0068449 0.12789 -0.012298 -0.063864 -0.049236 -0.29988 -0.35098 -0.082342 0.048397 -0.23275 0.22572 -0.19257 -0.3476 0.36885 0.049153 -0.18175 -0.14216 -0.0093715 0.27605 0.021993 -0.043093 0.12863 -0.052807 0.12696 -0.0077085 -0.11741 -0.0071717 -0.025786 -0.12922 -0.16513 -0.070854 -0.17971 -0.17604 0.11635 -0.0011959 -0.011266 -0.077275 0.74911 -0.21707 0.012786 0.080623 0.16981 -0.059685 0.70924 0.097436 -0.13505 0.12182 0.05628 0.082663 0.10422 -0.29064 0.23314 1.7588 -0.035236 -0.079824 0.7434 0.097516 0.15473 0.027494 0.059746 -0.088693 -0.021753 -0.045689 -0.13779 -0.019807 0.20311 0.058837 0.083998 -0.19126 -0.16062 -0.3261 -0.25239 -0.39541 -0.071127 -0.18994 -0.49643 -0.21208 -0.20986 0.01447 -0.008581 -0.40838 0.30368 0.0005251 -0.77337 -0.044089 0.016971 0.046034 -0.19664 0.34448 -0.29015 0.10572 -0.33507 -0.040301 -0.14905 -0.098683 -0.0075461 -0.11692].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.49595 0.068601 -0.059427 -0.033132 0.43916 -0.18303 -0.72814 0.30076 -0.12039 -0.011842 -0.062506 0.0085832 -0.097876 -0.57012 -0.039514 0.48726 0.018313 0.12779 -0.17944 0.1149 -0.19543 0.21318 0.29661 -0.4841 0.024849 -0.014585 0.06141 -0.16657 -0.42227 0.0011916 0.11015 0.29493 0.28275 0.022013 -0.21217 -0.37927 -0.037244 0.075098 0.40076 0.030531 -0.27309 0.096371 -0.054264 -0.084783 -0.033855 -0.065741 0.010981 -0.017634 -0.026102 0.0075498 0.0018107 -0.25599 0.11976 -0.10787 -0.24861 -0.22217 -0.11704 -0.17556 0.11382 0.0026067 0.069111 0.032932 -0.064194 0.0067609 0.13782 0.19137 -0.20925 -0.10064 -0.34948 -0.059956 0.12526 -0.0075539 -0.04698 -0.40499 -0.263 -0.37948 0.08089 -0.0061772 0.3773 0.19504 0.31058 -0.094424 0.55827 0.099968 0.20778 1.1171 0.023878 0.17034 0.10081 -0.012239 0.61942 0.17815 -0.038385 -0.27884 -0.21381 -0.14464 0.23891 0.21055 0.050528 -0.10625 0.054998 0.043467 0.0065183 0.088066 -0.077821 0.13687 -0.017394].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.058686 -0.34504 0.031479 -0.038656 0.033364 0.37425 -0.20642 -0.05887 0.097273 0.0021285 0.054146 -0.12835 -0.15535 0.081869 0.095095 1.3483 0.2394 -0.17789 -0.10112 -0.20453 -0.16984 -0.033371 0.16015 0.57002 -0.075383 0.36051 0.15701 0.048992 -0.3877 -0.067139 -0.0099038 -0.60231 -0.39246 -0.13475 0.26484 0.71889 0.0068928 0.014287 -0.16621 0.16215 0.21654 0.091436 0.13 0.020926 0.10134 -0.27455 0.38534 -0.081831 0.24547 -0.077025 0.15036 0.15385 0.016886 0.0046954 -0.076793 0.26661 0.078981 0.17867 0.029207 -0.016516 0.31011 -0.17981 -0.018757 -0.2664 -0.46512 -0.47697 0.43429 0.043509 0.19994 0.009064 0.0089881 -0.027866 0.019242 1.0037 0.16315 0.046153 0.064508 0.0028574 -1.1322 -0.047789 0.050822 0.41498 -0.24268 -0.12235 -0.90262 -0.27115 0.030094 -0.2365 -0.024664 -0.033289 -0.039824 -0.21253 0.0139 0.25761 0.23581 0.11532 0.033642 -0.026305 -0.19828 0.12804 -0.071695 -0.24573 0.030394 -0.12178 0.18703 0.038724 0.045496].
# Iteration 7:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.80959 -0.17133 0.0050299 0.12828 -0.4915 0.0066654 0.18483 -0.22054 0.029555 0.0080227 -0.049356 0.11854 0.077002 -0.25658 -0.043737 -0.035667 0.37608 0.19502 0.2839 -0.70364 0.24802 0.03642 -0.022714 0.10707 0.081496 -0.055263 -0.0032179 -0.089031 0.18658 0.032121 0.029183 0.01366 0.20067 -0.34251 -0.28895 -0.22512 0.031272 -0.010801 -0.2573 -0.087346 -0.29239 0.0019209 0.12398 -0.071015 -0.11868 0.29204 -0.28064 -0.34478 0.10605 -0.076658 0.13122 -0.1212 0.012376 -0.20727 -0.18539 -0.0066684 0.075205 -0.01385 -0.6769 0.052905 -0.37232 -0.14872 0.044465 0.15702 0.31574 0.59515 -0.18692 0.058033 0.33106 0.067284 -0.00072433 0.039247 0.014949 0.18769 0.11465 0.24714 -0.45786 -0.087478 0.50458 -0.0050955 -0.18252 -0.75623 0.41707 0.20194 -0.029996 0.47356 0.14234 0.24165 0.028379 0.0092128 0.023192 -0.115 -0.05201 -0.39114 -0.032792 0.019945 -0.17393 0.021336 -0.029327 -0.75957 -1.1918 0.60759 -0.052461 0.13006 -0.1999 0.053588 -0.056589].
# Iteration 8:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.92935 0.19742 0.015647 -0.18882 0.45129 -0.076337 -0.17221 -0.17662 -0.0017557 0.0049725 0.029915 -0.017223 0.0098731 -0.29611 0.036616 -0.10686 -0.1236 -0.17189 -0.14861 -0.04009 0.076142 -0.033909 0.0054479 -0.47266 -0.014024 -0.21937 -0.07361 -0.29708 0.48607 0.026244 -0.0079243 -0.044427 0.0062089 0.29354 -0.38402 0.16012 -0.0044923 -0.099435 0.19554 0.11308 0.47582 -0.047769 0.017975 0.042865 -0.12716 -0.024555 0.30889 0.93143 -0.071548 0.14464 -0.092399 -0.53328 -0.02754 0.2898 0.28128 0.094138 -0.67396 -0.26211 -0.11061 -0.10862 0.068845 0.18204 -0.0086841 0.12328 -0.45107 -0.0126 -0.24975 -0.15313 -0.088866 -0.15453 -0.21716 -0.014094 -0.01646 0.0071972 0.17965 -0.5784 0.45809 0.062999 -0.13162 0.034351 -0.2436 -0.28749 -0.35251 -0.17886 -0.143 -0.145 -0.0806 0.058495 0.013514 0.060871 -0.033629 0.08561 0.06058 0.36429 -0.48424 -0.097531 -0.36964 0.00064183 0.061407 1.0788 0.081879 0.21129 0.047065 -0.10657 0.14171 -0.12207 -0.0087343].
# Iteration 9:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.2853 0.21017 0.0026101 0.092678 0.09626 -0.1438 0.14854 -0.17325 -0.042641 0.012537 0.01713 -0.13925 0.059821 0.39383 -0.20345 0.10686 0.090497 0.12545 -0.66963 -0.075017 -0.36628 0.014176 0.039865 0.50354 -0.10319 0.024216 0.073407 0.50338 -0.35267 -0.00069908 -0.07841 -0.049524 0.32945 0.20422 0.73878 -0.33387 -0.02113 0.10645 0.059088 0.032093 -0.070104 0.012042 -0.53239 0.08723 0.089333 0.039001 -0.71524 0.15403 0.0011293 -0.089769 -0.42618 0.072416 -0.062664 -0.088462 0.24398 -0.2454 0.027876 0.27047 0.022278 -0.20387 -0.24179 -0.18427 -0.32502 -0.095899 0.81907 -0.014056 0.2722 0.12993 -0.0089767 0.11775 0.087689 -0.041215 -0.55362 -0.20338 -0.053293 0.026366 -0.077519 0.020026 0.038133 -0.012663 0.34429 0.20492 0.1334 -0.088811 0.040031 -0.42673 0.15545 -0.0035226 -0.029246 -0.07941 -0.067947 0.19789 0.011663 0.039503 0.36522 0.10625 0.47705 -0.0064619 0.17639 0.34518 0.44123 0.037254 -0.058574 -0.043503 -0.16095 0.10673 0.057089].
# Iteration 10:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.3755 0.13803 0.0097411 0.13158 -0.7318 0.15235 -0.017823 0.71451 0.021335 -0.039905 -0.055099 0.13261 -0.041844 -0.18207 0.10843 0.039556 -0.082185 -0.15836 -0.32248 0.1096 0.39989 -0.0039446 -0.18916 0.10251 0.091507 0.082562 -0.083346 -0.11742 0.31688 0.011339 0.076067 0.11865 -0.23622 0.20308 -0.20055 0.51617 0.026983 -0.040746 -0.074155 -0.30872 0.066662 -0.06854 -0.10809 -0.041763 -0.0054465 -0.053139 -0.16368 -0.41107 -0.042881 0.064723 -0.040744 -0.44227 0.1118 0.019383 -0.019862 0.23695 -0.08975 -0.01068 0.013429 0.27124 -0.21097 0.22097 0.34592 0.083825 -0.52276 0.067884 0.045344 -0.0088117 0.26465 -0.15874 0.11265 -0.037533 0.18842 0.25027 0.17335 0.077766 -0.20927 0.0044143 -0.096586 -0.071996 -0.087192 0.014909 0.042457 -0.031878 -0.11368 -0.02774 -0.061653 -0.10276 -0.17224 0.081206 0.03628 -0.10155 -0.016748 -0.38805 -0.23888 0.0011526 -0.25913 -0.039163 -0.22001 -0.019842 -0.28101 -0.10971 0.089017 0.0098323 0.12276 0.0043176 -0.0048202].
# Parameters are learned. Sampling algorithm is now running...
-------------------------------------------------------------------------------------------
# Results and figures are being stored...
{License checkout failed.
License Manager Error -4
Maximum number of users for Image_Toolbox reached.
Try again later.
Troubleshoot this issue by visiting:
https://www.mathworks.com/support/lme/R2022a/4
Diagnostic Information:
Feature: Image_Toolbox
License path:
[email protected]:/glade/u/home/yuxinz/.matlab/R2022a_licenses:/glade/u/apps/opt/matlab/R2022a/licenses/license.dat:/glade/u/apps/opt/matlab/R2022a/licenses/network.lic
Licensing error: -4,132.
Error in distinguishable_colors (line 93)
C = makecform('srgb2lab');
Error in saveFigures (line 22)
colors = distinguishable_colors(ncores);
Error in BIGMACS (line 34)
saveFigures(inputFile,savePath,inputMode,FIG_MODE);
Error in main (line 8)
BIGMACS(inputFile,inputMode,'show');
Error in run (line 91)
evalin('caller', strcat(script, ';'));
}
Time elapsed = 50783 s