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R56.log
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R56.log
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>> Starting parallel pool (parpool) using the 'local' profile ...
Connected to the parallel pool (number of workers: 40).
>> Number of workers: 40
## BIGMACS: Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals
-------------------------------------------------------------------------------------------
## Stack construction algorithm is now running...
# Initializing...
Data are loaded successfully.
Initializing the age samples...
Done.
# Stacking algorithm is now running...
# Iteration 1:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [120.4403 71.00318 189.7634 19.43538 101.1896 18.32055 13.34859 143.6182 294.4515 66.13215 29.4343 336.1494 169.0357 235.6961 330.2038].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.12836 -0.016469 -0.086737 0.0223 0.053677 0.048231 -0.023941 0.15103 0.17256 0.15018 0.082906 0.19053 1.0336 0.51549 0.11685].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.057687 0.0078553 0.095214 0.046428 -0.013171 0.016152 -0.026392 0.18614 -0.018722 -0.00024845 -0.011053 0.0047367 0.1047 -0.28548 0.22266].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0033035 -0.061736 0.070318 0.051591 0.086517 0.013009 0.004907 0.098064 0.04378 -0.0081022 0.013118 -0.021383 -0.1388 1.8598 0.09918].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.056971 0.046903 -0.0045449 -0.19104 -0.029593 0.042973 0.013824 0.019702 -0.022242 -0.0085249 -0.0071631 0.0052123 0.10991 0.12246 0.015114].
=======
Updating parameters makes the average log-likelihood of samples increased by [121.8473 73.40362 194.612 17.681 96.337 18.32055 13.34859 143.6182 294.4515 66.13215 32.08703 326.467 168.338 229.3988 308.6121].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.1733 -0.086501 0.16446 -0.028677 0.10358 0.048231 -0.023941 0.15103 0.17256 0.15018 0.064298 0.29583 -0.031811 -0.048008 0.38752].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.083698 0.062873 -0.010415 -0.051602 0.019829 0.016152 -0.026392 0.18614 -0.018722 -0.00024845 -0.0019275 0.18725 -0.056815 0.052056 -0.1681].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.087748 0.13339 0.0016713 0.12028 0.1796 0.013009 0.004907 0.098064 0.04378 -0.0081022 -0.049275 -0.036474 0.0033823 0.50492 0.058953].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.061492 -0.097561 0.033867 -0.0385 -0.18334 0.042973 0.013824 0.019702 -0.022242 -0.0085249 0.023778 0.010071 0.0037143 0.011483 0.0082885].
>>>>>>> c3a0f38aa8a405f39946a95a0b4890abc2d806b2
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...
<<<<<<< HEAD
{License checkout failed.
License Manager Error -4
Maximum number of users for Statistics_Toolbox reached.
Try again later.
Troubleshoot this issue by visiting:
https://www.mathworks.com/support/lme/R2022a/4
Diagnostic Information:
Feature: Statistics_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 updateStack (line 148)
STACK_SAMPLE(:,m,1) = MU(:,m) + mvnrnd(zeros(1,T),SS)';
Error in Stacking (line 22)
[param,target] = updateStack(data,samples,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 = 3868 s
=======
A new stack is updated.
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [110.5199 44.34081 220.3756 22.39417 65.24897 23.46583 53.67063 109.2009 206.7234 43.24587 21.11702 229.1118 136.0428 126.4563 218.1376].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.15974 0.033075 0.45575 0.21769 -0.012866 -0.020856 0.2134 0.13278 0.044462 -0.021127 -0.097651 0.22445 0.26384 -0.73396 -0.15689].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.090879 -0.044338 -0.052717 -0.0041398 -0.21414 0.034833 -0.038981 -0.042425 0.011038 -0.0056874 -0.02723 -0.064801 -0.0099419 -0.16269 0.0026805].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.038318 -0.0016502 -0.002131 -0.0017573 0.018387 0.014684 -0.063952 -0.012767 -0.03986 -0.041889 0.068276 -0.11476 0.14283 0.034949 0.08376].
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 [0.0093847 -0.24605 0.63402 0.047889 -0.015457 0.023685 -0.23041 0.064707 0.07843 -0.022496 0.1102 0.59888 -0.12437 0.11598 0.37343].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.010611 0.047967 0.071323 0.0064226 0.038095 0.014339 0.026322 0.19924 0.053417 -0.0097097 -0.00071973 0.052309 0.13749 0.02424 -0.0017324].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.16556 0.10297 0.13755 -0.11709 -0.025629 0.01703 0.0086712 0.02588 -0.12345 -0.0046854 -0.11239 0.11388 0.0065487 -0.001729 -0.23844].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.01128 0.015669 0.057768 0.53566 -0.14028 -0.012601 -0.032369 0.014075 -0.11021 0.10345 -0.0099328 -0.042956 -0.02368 0.27221 0.052568].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.001316 -0.078765 -0.023739 0.026058 0.16842 -0.11816 0.081551 -0.067261 0.044965 -0.016399 0.014052 0.086865 -0.019099 -0.15834 0.028207].
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 [-0.012697 -0.0059309 -0.023768 0.065005 0.0079655 -0.015781 0.088807 0.10664 0.37618 -0.060059 -0.02848 0.22783 -0.086875 0.0949 0.046222].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.00052152 -0.010661 -0.21787 0.019341 0.12574 0.020781 0.032392 0.019915 0.13136 -0.096448 0.017034 -0.084447 0.075396 0.0059781 0.26431].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.098255 0.12067 -0.27166 0.010724 0.0052314 -0.02226 0.21812 -0.046127 -0.0026829 0.43091 0.072105 -0.24586 0.040824 0.041821 -0.028149].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.013379 0.045556 0.078861 0.00037234 0.047068 0.044193 0.22965 0.27087 -0.27458 0.20306 0.12213 -0.025566 0.20246 -0.18642 -0.023921].
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 [0.077304 -0.042094 -0.074954 -0.019035 -0.21704 -0.045833 -0.16955 0.16168 -0.052748 0.020642 0.0048328 0.059951 -0.022674 0.31124 -0.028511].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.082076 0.074722 0.028641 -0.051344 -0.0015929 -0.028438 0.0096572 0.0021373 -0.31658 0.00079804 0.029632 0.7268 -0.069914 0.096128 0.069312].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.084123 0.32059 -0.070881 0.15873 0.0096085 0.14874 -0.027171 0.11903 -0.14173 -0.082428 -0.17032 -0.02808 0.16719 0.20635 -0.0012729].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.047298 -0.044299 0.032507 -0.010242 -0.013804 0.097652 -0.016628 -0.047271 -0.055418 0.077777 0.04444 0.041448 -0.16377 0.036048 0.013916].
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 [0.022248 -0.014071 -0.090147 0.005466 0.0020147 -0.01289 0.016088 -0.17813 0.054325 -0.022884 0.0078672 0.092464 0.043481 -0.098351 0.076764].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0044304 0.039981 0.013556 0.0029887 0.090547 0.15747 0.11936 0.031403 -0.0073698 0.28497 0.0043267 -0.082486 -0.0082851 0.050769 0.026174].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0044258 0.13396 0.063415 0.045124 0.12799 0.064403 -0.34294 -0.040097 0.062701 -0.01186 0.024396 0.085467 0.005886 0.10017 -0.46481].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.1072 -0.057955 0.16053 0.26265 -0.046705 -0.03799 0.13448 0.0052191 -0.058616 0.031919 -0.017054 0.23092 -0.0067795 -0.070476 -0.043657].
# Parameters are learned. Sampling algorithm is now running...
-------------------------------------------------------------------------------------------
# Results and figures are being stored...
Done.
Results and figures are stored in Outputs/R56_d18O_stack.
-------------------------------------------------------------------------------------------
>>
>>>>>>> c3a0f38aa8a405f39946a95a0b4890abc2d806b2