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R54.log
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R54.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 [5.616649 67.32548 90.22701 17.21166 328.9897 51.77261 8.651834 27.22839 71.53431 23.63333 42.23917].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.091552 -0.14201 2.0223 1.2699 8.4407 0.67674 3.6798 2.1665 5.2725 1.8873 3.3382].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.18962 0.050283 2.3191 0.063306 1.5454 0.030745 0.98826 0.046248 1.0535 -0.60605 0.38792].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.023665 -0.090345 0.63597 0.010979 -0.39406 0.036151 -0.26688 -0.061909 0.31778 0.1728 -0.28767].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.10104 0.14827 -0.1336 -0.31811 0.42926 -0.069179 -0.25595 -0.012822 -0.028149 0.00050925 0.16811].
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 [2563.27539 2971.05457 4819.37943 6206.32359 17875.2233 2986.79266 5745.22759 8965.79642 6164.5795 4501.85149 10581.2105].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [3.99851 11.9892 14.8746 10.824 29.7758 13.994 16.3448 33.6387 45.7576 22.7987 73.4529].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.291544 1.57408 0.0222469 0.593603 1.73288 -0.276858 4.2241 8.35691 3.3982 3.98755 15.8458].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.05216 0.22863 0.21542 -0.052332 -0.70651 -0.099251 0.81818 1.4858 0.21461 -0.033692 -2.0705].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.031932 -0.15788 0.013507 -0.0041032 -0.46144 -0.057868 -0.22343 -0.0096735 -0.0026322 0.05672 0.67899].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.009103 0.15359 -0.069155 0.004746 -0.18426 -0.13033 0.29579 -0.02352 -0.24637 -0.19293 -1.3334].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0084299 -0.41708 0.047278 0.027076 -0.70765 0.1539 0.13954 -0.056574 0.24661 0.14327 1.1515].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.024297 0.12287 -0.056783 0.0033504 -0.00085704 0.023794 -0.55152 0.009716 -0.42782 0.055874 0.11618].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.033152 0.13174 0.086967 -0.0030904 -0.13952 -0.075607 0.47619 -0.35824 0.42936 -0.024428 -0.80783].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0018648 0.16408 -0.018419 -0.037898 0.1322 0.013347 -0.031232 0.40764 -0.029996 0.04041 -0.446].
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 [0.27636 -0.76465 0.62534 -0.0055143 1.4575 0.47607 -0.12161 0.99769 0.036688 -0.43142 1.4391].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.023665 -0.26516 -0.0043433 -0.17507 0.088578 -0.25468 -0.012671 -0.8152 -0.046609 0.11715 0.53557].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.20433 -0.02879 0.030622 -0.1379 0.39583 -0.034208 0.061511 -0.41722 -0.49663 0.058527 0.012647].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.037317 -0.23056 0.071499 -0.36125 0.62334 0.061646 0.079304 0.33546 0.54872 -0.013719 -0.26218].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.00026416 0.25603 0.013297 0.37328 0.60839 0.0067327 0.31686 0.27412 0.013229 0.0085125 -0.43191].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.01424 -0.0011949 -0.20211 -0.61275 0.28846 0.0033971 -0.10116 -0.11987 -0.0056881 0.0051655 0.7826].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.025544 -0.044759 0.20463 -0.33318 -0.4994 -0.015451 0.10429 0.11494 0.00010075 -0.0027905 0.43858].
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 [0.2027 -0.06688 -0.062314 0.36406 -0.011714 -0.027606 0.049923 -0.021394 -0.028115 0.034886 0.14921].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.016722 -0.020184 -0.0097738 -0.092257 0.25537 0.008817 0.3961 0.23403 -0.010498 -0.068643 1.7934].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0011177 0.027761 -0.25426 -0.0061908 0.33953 -0.29021 -0.024942 0.10469 0.30112 0.033557 0.2368].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.03191 -0.19671 0.088822 0.119 -0.071973 0.049035 -0.013933 0.081206 -0.21393 -0.11906 -0.19161].
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 [0.12264 -0.13906 -0.22241 -0.49151 -0.80249 0.02944 -0.083807 -0.15913 0.23288 0.064361 0.20367].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.02731 -0.17824 0.11908 0.64436 0.16749 -0.014119 0.080195 -0.027396 0.1092 0.043075 -0.087253].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.057557 -0.039884 -0.5151 -0.11009 0.60388 0.045443 -0.21568 -0.30637 -0.43401 0.25901 0.34612].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.046031 0.077771 0.07782 0.020677 0.20465 0.012325 0.016125 -1.2838 -0.0017483 -0.07336 0.23883].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.04641 -0.28861 -0.073553 -0.27325 -1.5213 0.18217 0.022257 -0.17391 -0.063464 -0.11899 -0.16495].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.19883 0.30237 0.021517 0.14365 0.18061 -0.060889 -0.20179 -0.31591 -0.04489 0.17822 0.1].
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 [-0.061987 0.039384 0.98202 -0.073248 0.22222 -0.0072058 -0.0070385 0.23116 -0.25501 -0.061881 1.0978].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.15296 -0.13363 0.49662 -0.037864 -0.0082535 -0.084382 0.15927 0.21242 0.003363 0.011338 0.26401].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.024637 0.16921 -0.050534 -0.14976 -0.04668 -0.059626 0.010518 0.082958 -0.0065987 0.26758 0.87982].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0033516 0.11749 -0.05432 0.084349 -0.33133 0.12426 0.048885 -0.063469 -0.056909 -0.4601 0.10051].
# 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/R54_both_stack.
-------------------------------------------------------------------------------------------
Time elapsed = 11552 s