forked from eilion/BIGMACS
-
Notifications
You must be signed in to change notification settings - Fork 0
/
R19.log
84 lines (76 loc) · 20.4 KB
/
R19.log
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
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:
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 [22.13628 20.29461 10.52514 7.699028 87.74241 10.48737 10.19378 30.37193 8.982241 10.05482 11.36108 2.10987 6.806308 2.361874 10.55773 5.348483 4.173991 10.81727 7.301557 9.016403 6.608906 2.001744 19.82156 14.86446 4.150875 2.028852 9.638499 16.70938 7.539427 3.865982 15.88356 1.456769 2.338835 10.47509 1.830303 2.488356 4.752163 19.94131 13.55129 13.45143 12.95119 12.71113 4.092273 7.954705 0.6700993 9.447529 19.78579 1.153497 1.128429 1.980198 -0.408596 45.18604 30.0237 1.729032 1.717395 7.407014 8.127104 6.647109 0.7999107 5.449663 14.28483 6.357658 13.29652 2.981165 3.717538 4.48192 11.28979 0.7485774 75.86809 19.01545 4.125439 4.574331 1.829294 8.153449 40.28896 3.961846 24.43972 600.0207 19.10199 5.88215 8.818103 1.178358 25.79308 20.85495 59.95759 71.36826 63.51067 26.07656 26.90346 53.82032 33.78924 8.090099 5.284324 23.96173 49.54943 11.68088 5.265838 -0.02273355 7.278422 16.68043 12.45035 14.33546 34.29257 19.36195 58.36532 9.116081 11.93648 14.75245 10.25694 6.390468 26.26714 14.00616 5.844431 23.89794 25.81214 27.51788 4.501555 22.83673 9.498174 11.35252 0.6125616 5.325813 16.1717 17.82584 116.8505 1.83155 11.07318 6.035518 4.025219 15.7686 55.72882 7.132173 3.608474 147.0469 38.58209 12.44337 11.02998 44.23834 20.25867 8.270298 5.286709 22.75986].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.459903 3.09426 0.0101775 -0.226568 5.97021 1.2321 1.15914 1.23087 -0.294274 -0.297836 0.269569 0.341122 0.237378 0.165353 1.84419 -0.334731 0.270157 -0.062493 0.0168673 0.913617 -0.164758 0.00307249 1.40089 0.270349 0.0754036 0.121741 0.326035 0.842971 0.124509 -0.0181793 1.2801 -0.124254 -0.0273911 0.677618 0.193452 -0.0490343 0.014278 -0.283284 0.0648391 0.125375 2.7436 0.5174 -0.186103 0.361606 0.0976049 0.422305 1.17229 0.126515 0.10873 -0.491348 0.993054 8.26678 2.25511 0.0672148 0.0540191 0.105506 -0.583329 0.000511524 0.265614 2.36085 0.218281 0.0891679 0.42372 -0.0401493 0.17087 -0.0934063 0.0118175 -0.316966 7.5121 0.667068 -0.0311662 -0.317952 0.342205 0.647029 0.699222 -0.352548 1.3574 4.69804 2.28909 0.222562 0.0101423 -0.0943851 0.982644 2.4486 0.945103 2.51605 1.31276 0.840583 1.83663 2.03177 6.79786 0.562621 -0.214952 4.1847 1.33037 1.32649 -0.792484 -0.191533 0.245336 0.886666 1.04429 0.322131 0.535247 5.36372 3.60061 0.932876 0.623047 -0.41365 -0.0335467 -0.0747312 0.547181 0.558893 -0.000142575 0.446104 0.201358 1.98264 -0.0404867 -0.403006 -0.182114 -0.23938 0.0827763 1.06535 0.208601 0.486194 2.37158 0.167494 -0.248472 0.196616 0.165363 0.128746 0.658735 0.295041 0.0342772 16.819 0.0306957 0.392049 0.706934 2.20184 -0.223911 0.837091 -0.391737 -0.145501].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.28491 -0.024733 -0.30272 -0.0074284 -1.2439 -0.60474 0.060079 0.17129 0.22815 -0.016392 -0.23715 0.068987 0.37217 -0.071197 0.36624 0.28091 0.066509 0.25071 0.22803 0.1665 0.062539 -0.03213 0.13376 0.01384 0.58648 -0.20134 0.0092531 0.32667 0.5716 -0.17323 0.027727 0.13168 -0.0021479 0.022614 0.22727 -0.10278 -0.029636 0.12707 -0.082929 -0.033159 0.1104 -0.018352 0.099877 -0.088816 0.029164 -0.13362 0.20392 0.071946 -0.078949 0.0030911 -0.86608 0.16394 0.86928 -0.022111 -0.19343 -0.0019975 -0.17248 -0.078435 0.045876 0.026034 0.10387 -0.0082721 0.054302 0.53075 -0.25696 0.33394 0.66387 0.0015094 0.41766 -0.42476 -0.1069 0.18087 0.013217 -0.14817 -0.14602 0.064139 -0.029965 1.8161 0.40404 0.067696 -0.019406 -0.49746 -0.41192 0.087141 0.38692 -0.59274 0.98776 -0.043762 -0.14302 0.039426 -0.073894 0.2748 0.060008 0.38786 0.17159 0.27193 -0.345 -0.16583 0.37607 -0.087044 0.10377 -0.12332 0.085077 0.25718 0.44108 -0.039878 0.0088894 -0.042634 0.1534 -0.032298 0.91553 -0.24988 -0.061979 0.12045 -0.063054 0.38191 -0.086522 0.014816 -0.050228 -0.18452 0.26559 -0.054178 -0.021566 -0.29509 1.5858 0.062402 -0.13654 -0.20327 0.013281 -0.31247 0.051658 0.17568 0.1957 2.2843 0.5095 0.13287 0.2041 0.029372 0.011667 -0.068836 0.034663 0.38628].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.15814 -0.18779 -0.0036564 0.054872 -0.85561 0.0044568 -0.61456 0.14408 0.037268 0.25385 0.0030994 0.17861 0.25426 0.0094322 0.024213 0.12187 -0.10055 -0.10175 -0.49002 -0.014241 0.24675 0.029439 -0.038065 0.063469 0.029733 -0.082287 0.25813 -0.087946 -0.22132 0.024743 -0.45507 0.13286 0.011132 0.16448 -0.075179 0.014404 0.012281 -0.0064678 0.18632 0.18581 0.11462 0.0039384 0.18895 0.051008 0.0216 0.14224 -0.3819 0.017943 -0.05197 0.0073691 0.22534 0.49584 0.044952 0.018276 0.0054324 0.031808 -0.24519 -0.017124 0.0045301 0.028654 0.034468 -0.021641 0.069726 0.144 0.0041786 0.055553 0.34844 -0.29642 0.038738 0.57035 0.16396 -0.14202 -0.25182 0.15407 -0.26923 0.1932 -0.26307 2.9302 0.02102 -0.038104 0.26501 0.008857 -0.027934 0.29222 0.31112 -0.1091 -0.025089 0.13862 -0.015334 0.58214 -0.10674 -0.092586 -0.019515 -0.78071 -0.11714 0.012313 0.30152 0.12675 0.28514 -0.042523 0.39791 0.10132 -0.16342 -0.063194 -0.13299 0.068445 0.2926 -0.44857 0.073417 -0.048745 -0.065125 0.28632 0.034843 0.2087 0.34436 0.28037 0.051138 0.076412 0.091732 0.040651 -0.049502 0.24928 0.00052148 0.25604 0.26452 0.076042 -0.24976 -0.008167 -0.020038 0.030704 -0.025917 -0.17337 -0.3169 0.07484 -0.23321 -0.057067 -0.095492 0.069152 0.00066518 0.039274 -0.025015 -0.063935].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.13436 0.01358 -0.050821 0.049139 -1.2054 -0.22179 -0.017765 -0.16362 -0.071914 -0.16589 0.00094368 -0.38401 0.11861 0.066632 0.0061765 -0.28042 -0.10449 -0.30997 0.05932 0.04602 0.097524 -0.052374 -0.023805 -0.037998 -0.044082 -0.10324 0.27606 -0.078725 0.10418 0.097468 0.0019615 0.099307 -0.00061023 -0.045776 -0.059195 -0.14293 -0.18443 0.024791 -0.019993 -0.2783 0.07014 -0.29519 0.047469 -0.038566 0.052416 -0.052634 0.34677 -0.15403 0.062558 0.0094604 -0.056025 0.057226 -0.032773 -0.12571 -0.20326 0.050299 0.15415 0.068595 -0.14398 -0.013207 -0.0080596 -0.052713 -0.14376 -0.049747 0.0041779 -0.033843 -0.32381 0.4695 -1.0732 -0.02876 0.15466 -0.0013593 -0.13699 0.0069539 -0.075149 -0.61136 -0.095351 0.37242 0.050739 -0.023367 -0.15826 -0.0019335 0.40871 -0.36134 -0.080388 -0.2066 -0.10828 0.057426 -0.13969 -0.27643 -0.14734 0.25561 0.074049 0.60741 -0.042072 -0.18071 -0.046483 -0.13527 0.25836 -0.20154 -0.37861 -0.10923 0.043218 0.018035 0.15054 -0.39542 -0.45222 0.46048 -0.15779 0.030546 0.058589 0.044235 -0.0028452 -0.0018138 0.56412 -0.025109 0.083188 -0.33749 -0.36186 -0.0049783 0.17754 0.025838 0.010187 -0.33257 -0.093784 -0.004642 0.30282 -0.080468 0.0045837 0.071357 -0.093349 0.14733 -0.10003 -0.16883 0.14426 -0.050219 0.20265 -0.0067447 -0.046933 0.013109 -0.04201 0.039191].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.032222 -0.015738 -0.19042 -0.13996 0.74949 0.22549 0.085444 0.18683 0.051945 -0.28334 -0.049714 0.27679 -0.043921 -0.054506 -0.072472 0.19017 -0.017005 0.42894 0.33317 -0.044333 -0.20316 0.055013 -0.10431 0.034722 -0.28313 0.17081 -0.20492 0.2349 -0.47098 -0.12237 0.053545 0.21148 0.00019527 0.054848 -0.0086069 0.15295 0.028417 -0.044341 -0.013035 0.17182 -0.43297 0.087494 -0.075151 -0.038811 -0.014015 0.070447 -0.214 0.20627 -0.0994 -0.036168 -0.25795 -0.064274 -0.030299 0.12285 0.0933 0.084499 -0.009364 -0.028868 0.06701 0.02304 -0.057555 0.030216 0.0051573 0.0046248 -0.13064 -0.040401 0.049268 -0.0024811 0.067692 0.16169 -0.28574 0.14155 0.48346 -0.010588 0.3772 -0.078182 0.14947 0.0032557 -0.089926 -0.013284 -0.24553 -0.0020093 -0.17145 0.22107 0.08202 -0.27577 -0.44086 -0.040457 -0.022627 0.21635 0.22219 -0.15637 -0.013352 -0.56708 0.22059 0.22329 -0.45712 -0.32063 0.029284 -0.26838 0.23944 -0.11605 0.073012 0.046755 0.023105 0.39867 -0.2401 -0.13019 0.23126 -0.0029284 -0.010478 -0.21416 -0.076565 0.025603 0.34263 -0.24975 0.0089074 0.31176 0.32717 0.005765 -0.18138 -0.37782 -0.0022332 0.1743 0.09223 -0.18194 -0.27108 0.063565 0.032692 -0.076944 -0.25439 -0.018656 -0.34488 0.16303 -0.077678 0.00093804 -0.090614 -0.2641 0.056534 -0.086285 0.034693 -0.060199].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.045582 -0.034218 0.24348 0.14905 0.32309 -0.30872 0.046032 -0.051785 0.017378 0.22996 0.043235 -0.091281 -0.0013391 -0.033911 0.0090635 0.23484 -0.25662 -0.007847 0.055495 -0.12768 0.0081697 -0.042004 0.19989 -0.31121 0.32842 0.00086019 0.024218 0.031702 0.61889 0.2983 0.41647 0.60327 -0.00012298 -0.1194 0.0032106 -0.13354 0.057907 -0.077171 -0.020569 -0.15014 0.49252 0.068886 -0.011257 0.08327 0.0076617 -0.04819 -0.091574 0.077137 -0.13726 0.021998 0.25337 0.15186 0.10203 -0.56024 -0.254 -0.10406 -0.124 -0.0040299 0.042947 -0.014111 -0.098565 -0.052606 0.0050237 -0.012451 0.21464 0.075091 -0.22167 -7.7599e-05 -0.10178 0.025459 0.14153 -0.05888 0.0014213 -0.20718 0.009205 0.11957 -0.045482 -0.13105 0.10851 0.041039 0.22765 -0.035564 0.13125 0.0075128 -0.22254 0.55342 0.30782 0.016869 -0.0065154 -0.01359 -0.014534 0.065271 -0.14336 0.40322 -0.28649 -0.01435 0.26384 0.33721 -0.056055 0.31727 0.33808 0.00099303 0.017767 0.062085 -0.57066 -0.039764 0.6798 0.022682 -0.30027 -0.0028491 -0.01913 -0.31785 -0.017709 -0.77693 -0.0084233 0.16503 -0.060666 -0.028506 0.027723 -0.048141 -0.0094439 -0.12131 0.0016124 -0.758 0.001396 0.18309 0.26793 0.023233 -0.039141 -0.12004 0.17994 -0.02284 0.77985 -0.3735 0.15617 0.014659 0.060763 -0.077452 -0.012007 -0.043323 -0.0028474 0.056268].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.027226 0.018336 -0.30208 -0.0093199 0.0050313 0.34394 0.1816 -0.27201 -0.0062023 -0.57055 -0.028059 0.031214 0.009509 0.1077 0.051997 -0.048931 0.29735 0.0071213 -0.38688 0.1095 0.34331 -0.10395 -0.065131 0.1319 -0.0501 -0.066563 0.16424 0.14065 0.051755 -0.020585 0.013818 0.23473 0.0013543 -0.60555 -0.011424 0.12664 0.10875 0.060628 0.021927 -0.049771 -0.20639 -0.067436 -0.12813 0.022119 -0.26245 0.049515 -0.48165 -0.0525 0.16231 -0.0030555 -0.21967 -0.18172 -0.00087733 0.23932 0.27548 0.075782 0.024469 -0.087839 0.042337 -0.02728 0.062139 -0.091268 0.16004 -0.12659 -0.09367 -0.03975 0.36029 -0.15885 0.06474 0.039625 -0.060534 0.0016575 -0.037265 0.22051 0.06601 -0.070859 0.071866 0.15527 0.00057871 0.022975 0.28821 0.040813 -0.094031 -0.05749 -0.058782 -0.75196 -0.22892 -0.10907 -0.18982 0.0090222 -0.19408 -0.076375 0.29393 -0.092135 0.28147 0.011148 0.24074 -0.029743 0.018642 0.47235 -0.043192 0.21568 0.016756 0.0096382 -1.1026 -0.070244 -0.16946 -0.21062 0.21903 -0.036296 0.0122 0.25153 0.15334 0.39252 -0.041101 0.062766 0.056021 0.055513 -0.019914 0.06471 0.0091818 0.50489 -0.090231 0.013361 -0.025648 -0.11283 -0.43248 -0.024933 0.035914 0.18203 0.16946 -0.066389 0.12741 0.37097 -0.29395 0.01723 0.034031 0.22421 -0.052227 0.12216 -0.046076 -0.10404].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.017679 0.01994 0.28848 0.039797 -0.028134 -0.13627 -0.26579 0.31635 0.010055 0.0029714 -0.036044 0.16856 0.037617 -0.0067268 -0.013422 -0.080702 0.049634 -0.0012871 0.25326 0.064861 -0.30621 0.13442 0.065437 0.094365 0.049521 0.06468 -0.4563 -0.22881 -0.034878 -0.23721 -0.14066 0.14546 -0.0032526 -0.04299 0.16172 0.0018681 -0.017974 0.060245 -0.16547 0.025078 -0.048331 -0.1375 0.22157 -0.013785 -0.10889 -0.0046476 0.52021 0.056041 -0.0047437 -0.022787 0.063634 0.23696 -0.0043905 0.14412 -0.54145 -0.14928 0.093237 0.10981 -0.24974 -0.04742 0.32244 0.14474 -0.046818 0.20791 0.082185 0.033395 0.064177 0.16364 -0.13333 -0.30809 -0.17648 0.067338 -0.13562 -0.019087 -0.16387 -0.21072 -0.21633 -0.011277 -0.018985 0.0064138 -0.26292 -0.045713 -0.044837 0.00318 0.2408 1.2514 0.48463 -0.08067 0.2635 -0.040908 0.20673 0.10171 -0.020411 0.083895 0.0064015 0.00052279 -0.25839 -0.058596 -0.16393 -0.3708 -0.26358 -0.063087 -0.002065 -0.020102 0.47128 -0.025716 0.27432 -0.18087 0.010753 0.0177 -0.033028 0.26875 -0.13553 0.0016723 -0.43007 -0.097258 0.0013496 -0.19125 0.0135 -0.069122 -0.098675 -0.36665 0.075811 0.13058 -0.00065813 -0.0050265 0.28166 0.0094053 -0.0059513 -0.083494 -0.019509 0.081626 0.45956 -0.29411 0.37758 -0.12058 -0.090432 0.14556 0.0080283 -0.031317 0.033217 0.10157].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0046914 -0.024879 -0.019814 -0.1719 -0.078157 0.0098641 -0.10705 -0.13172 -0.013338 -0.074784 0.022093 -0.22248 -0.025524 -0.07354 -0.076693 0.12826 -0.11912 -0.002571 -0.0028447 -0.0012851 0.19589 0.0093537 -0.0019161 -0.35567 -0.0042444 -0.020682 0.16236 -0.047604 0.022542 0.25577 -0.53946 -0.015605 -0.053226 0.48667 -0.068604 -0.0066105 -0.10436 -0.0021435 0.20163 0.10512 0.066873 0.14339 0.097427 -0.0079729 0.25797 0.0030729 0.097167 -0.00037782 0.08128 0.027467 0.20594 -0.27413 0.0091738 0.042559 -0.015717 -0.064784 -0.13763 0.010505 0.15403 0.082104 -0.047097 -0.23258 -0.1231 -0.18946 -0.13059 0.0022649 -0.55457 -0.15941 0.16071 -0.39127 0.051279 -0.36887 0.05477 -0.13543 0.076071 0.25677 -0.29448 -0.00030796 -0.17661 -0.17112 0.25891 0.037044 -0.24694 -0.33057 -0.036303 -0.02907 0.0036833 0.23891 -0.020961 0.051202 0.0080404 -0.073698 -0.23941 -0.059518 -0.097236 -0.0029604 0.29761 0.00011248 0.20002 -0.77955 -0.24638 -0.064941 -0.028566 0.012865 -1.0239 0.096849 -0.47546 0.47454 0.036456 -0.13508 0.06016 -0.069827 -0.014538 0.0052274 0.48316 0.1307 -0.013834 -0.053166 -0.079823 0.065951 0.20695 0.0065009 0.015858 -0.016688 0.023953 0.078505 -0.066065 -0.011105 -0.010065 0.076407 -0.034671 0.019083 -0.1973 0.30998 -0.38551 0.10673 0.031473 -0.31243 -0.27716 0.0060524 0.017671 -0.0087655].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
Iteration 3/10...