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R55.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...
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 [0.6712769 29.3043 26.49972 1.34285 203.3918 17.32949 5.343504 10.23568 48.92688 12.36039 22.57066].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.033922 3.3164 0.67154 -0.05448 8.512 0.99552 0.57206 -1.1696 6.1747 1.3812 2.2933].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.046156 -0.053373 -0.076637 -0.04399 -0.62068 0.037719 0.15313 -0.39974 2.03 0.36984 -0.52634].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.1267 0.19572 0.061449 -0.0015533 0.20084 -0.14413 -0.014773 0.19629 0.77919 -0.88612 -0.17514].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.12445 -0.27114 0.023775 -0.018849 -0.018133 0.14877 -0.31294 -0.14585 -0.0078974 -0.049037 0.61843].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.12073 -0.31123 -0.017034 -0.36191 -0.14145 -0.35601 0.40544 0.46547 -0.23847 -0.93991 -0.85751].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.11727 0.14859 -0.011371 0.33219 0.091969 0.31575 -0.016277 -0.052728 -0.12407 0.036339 0.0030072].
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 [645.2946 1230.2318 1364.2256 1370.3633 8097.0299 1032.7099 1604.5289 4891.5914 3347.302 2196.1694 8678.5305].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [4.10032 6.56712 31.1481 4.50155 58.6459 11.0334 25.0465 33.3413 26.9914 17.8715 89.0912].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.416798 0.971768 4.23505 0.715642 1.87288 0.267674 4.46511 13.3547 2.97396 4.04676 13.6761].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.010767 -0.7148 1.6245 0.20065 -0.020085 -0.0088009 0.33603 4.241 0.17285 0.77932 3.721].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.12371 0.24741 1.0146 -0.020439 -0.024883 0.11746 -0.026077 0.80297 -0.25951 0.16124 0.39197].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.040059 -0.084637 -0.16072 0.017581 -0.0097785 -0.078622 -0.15832 0.50267 0.30989 -0.028747 -0.371].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.18999 -0.2362 0.1268 0.0051409 -0.1619 -0.053967 0.10807 -0.070113 -0.15747 -0.034727 -0.82599].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.1252 0.20033 0.032394 -0.0036621 0.14728 -0.27847 -0.22978 0.55058 0.17678 0.052095 -0.34634].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.060427 0.0033634 -0.14016 0.0059027 -0.02643 0.39046 0.58045 -0.027145 -0.43776 -0.032892 -0.45109].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0702 -0.074764 0.1496 -0.014014 -0.11523 0.077315 -0.031668 0.039673 0.074005 0.044149 0.70953].
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 [-0.0061965 0.21948 1.0014 0.12226 -0.074859 1.7041 0.24653 0.36018 0.066587 -0.46791 -0.04323].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.089505 -0.013933 -0.0073787 0.16744 -0.13919 -0.061088 0.12622 0.89701 -0.22225 0.2662 0.47843].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.013394 -0.0097855 1.0969 0.017122 0.10449 -0.028955 0.32087 0.15765 -0.047877 0.20261 -1.087].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.002439 0.072814 0.025975 -0.12742 0.011954 0.026299 -0.12413 -0.94888 -0.33728 0.97422 -0.96861].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0025292 -0.39773 0.11171 0.095721 -0.12704 0.015926 0.24281 0.058794 0.77488 0.15129 0.62094].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.13525 0.055981 -0.0060677 0.011041 0.15905 -0.044691 -0.035787 0.065863 0.66883 -0.032998 0.24881].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.063391 0.19407 0.013003 0.033317 -0.15873 0.018358 0.0053505 -0.087957 -0.031343 0.039175 -0.21481].
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 [0.2613 -0.29424 -0.15934 -0.0098051 -0.53683 -0.040696 0.1169 1.1658 0.41618 -0.027062 -0.31187].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.047481 -0.1018 0.20107 0.071592 -0.27794 -0.027525 -0.031824 -0.90771 0.37638 0.084604 -2.7641].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0079613 0.049135 -0.0089979 -0.024884 0.49926 -0.12681 0.037857 0.21319 0.071968 0.012682 0.36538].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.1331 -0.012377 0.071056 -0.0024656 0.49228 0.15401 0.096912 -0.4404 0.21454 -0.046986 -0.10989].
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 [-0.083385 -0.040224 -0.14324 0.13456 0.52304 -0.063675 0.087052 -0.096442 -0.075558 -0.15182 -0.19059].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.019858 0.35912 -0.023596 -0.030292 0.29844 -0.15516 -0.08848 -0.26082 -0.26626 -0.0085886 0.055629].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.097796 0.064949 -0.080082 -0.14539 -0.052855 0.1002 0.50661 -0.12325 -0.13195 -0.01262 -0.72926].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0074773 0.25721 0.10765 0.17672 1.2001 -0.019615 0.079982 0.26486 -0.44356 0.014072 0.32378].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.046142 0.21805 -0.24651 0.030531 0.40584 -0.010628 -0.30084 -0.045902 0.25503 0.045599 0.79188].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.013912 -0.1177 0.080784 -0.47085 -0.77914 -0.015064 0.34076 -0.07248 -0.15542 0.0043758 4.0314].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.17142 -0.24394 0.0667 0.28191 0.030555 -0.081296 0.15241 -0.28269 0.13696 0.00040321 0.31061].
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 [0.076365 0.034301 0.037425 0.18238 -0.0013691 -0.046464 -0.14484 -0.24046 -0.12703 0.012799 1.4351].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.032174 -0.089279 -0.073883 0.14871 0.27024 0.0059023 0.065726 0.63066 0.13462 -0.29301 0.56148].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.049768 0.20108 0.14101 0.010243 1.1257 -0.12415 -0.4277 1.7668 -0.27886 -0.40874 0.8326].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.028684 -0.010809 -0.078189 0.173 -0.59392 -0.027612 -0.1123 2.758 0.12371 -0.71032 -0.44327].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.016022 -0.07509 -0.019415 -0.24243 -0.15675 -0.083625 -0.018065 0.11276 -0.0761 -0.082972 0.20636].
# Parameters are learned. Sampling algorithm is now running...
-------------------------------------------------------------------------------------------
# Results and figures are being stored...
[Warning: MATLAB has disabled some advanced graphics rendering features by
switching to software OpenGL. For more information, click <a
href="matlab:opengl('problems')">here</a>.]
Done.
Results and figures are stored in Outputs/R55_both_stack.
-------------------------------------------------------------------------------------------
Time elapsed = 5621 s