forked from eilion/BIGMACS
-
Notifications
You must be signed in to change notification settings - Fork 0
/
R22.log
363 lines (340 loc) · 32.9 KB
/
R22.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
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
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 Proposal_init
Operands to the logical AND (&&) and OR (||) operators must be convertible to
logical scalar values. Use the ANY or ALL functions to reduce operands to
logical scalar values.
Error in getProposal (line 76)
[A{n},W{n}] = Proposal_init(W{n+1},A{n+1},depth_diff(n),d18O(n,:),C14{n},Age_Info(n,:),data,param,S,target,data_type,n);
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 getProposal
The logical indices contain a true value outside of the array bounds.
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 = 35 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 [11.4147 36.6135 22.6099 7.52574 10.3171 2.25155 14.1799 17.0739 14.8558 11.2178 5.80483 12.3466 24.8434 15.3768 24.6437 35.6025 66.5183 11.2767 3.3223 7.94192 13.2793 25.5797 3.28044 10.6039 7.14595 10.7443 16.8701 19.9098 23.2062 39.1602].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.331956 1.31945 0.428573 -0.0503681 0.132745 0.0379445 -0.135025 0.215285 0.480835 0.474784 0.0785089 0.522725 0.687773 0.0639249 0.101722 0.0916124 4.30895 1.85265 0.0106429 0.145642 0.446494 3.97271 0.178897 0.447754 0.122452 0.776675 38.353 0.549583 1.34622 -0.131307].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.32615 -0.70637 0.0045148 -0.029585 -0.005273 0.12399 -0.11669 -0.052086 0.20947 -0.0013796 -0.14696 0.12791 -0.52525 0.058312 0.0029675 0.12632 0.52035 0.6983 0.0042923 -0.0343 0.13876 -0.45152 -0.0045566 0.16288 -0.27365 0.0059184 0.80209 1.053 0.008024 0.62354].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.35529 0.17479 0.036884 0.015765 -0.16141 -0.35448 -0.02331 0.3654 0.0073072 -0.3368 -0.094723 0.52608 0.1147 -0.037017 -0.31781 -0.024403 0.94128 -0.20781 -0.027808 0.011158 -0.058268 0.2755 -0.015394 -0.16571 0.0086104 0.14818 -0.058204 -0.035953 -0.0289 0.093194].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.011997 0.31808 -0.014005 -0.0079623 0.22795 0.64182 -0.048861 0.098572 -0.15316 0.32877 -0.010516 -0.013884 -0.026049 0.064884 0.21419 0.019698 -0.21034 0.32883 -0.0031942 -0.13847 0.011163 -0.26734 0.20972 0.16264 -0.01985 -0.041724 -0.77375 -0.49075 -0.060132 0.067209].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.1414 -0.0166 -0.055517 -0.016415 -0.020082 -0.31668 0.07843 -0.082018 0.26516 -0.082867 -0.092319 0.019985 0.030387 -0.0010799 -0.14391 0.03795 0.084754 -0.20779 0.029491 -0.24159 0.015593 0.34585 -0.4304 0.30454 -0.053637 -0.067181 -0.65944 0.22075 -0.00090289 0.014742].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.17941 -0.40904 -0.038106 0.02538 0.034932 -0.013509 0.0084388 0.081179 -0.13182 0.073756 0.012938 -0.072233 -0.0075045 -0.031468 0.22056 -0.19695 0.09096 0.20009 -0.020559 0.31586 -0.025331 -0.30564 0.47478 -0.024473 -0.084509 0.12716 -0.027368 0.094957 0.091188 0.0049085].
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 [10.69175 33.25623 15.12017 14.14517 30.50142 21.91398 19.65242 15.56711 47.16126 13.82918 34.05549 27.74804 30.85118 35.23849 50.58431 33.92576 199.8586 49.35373 9.491533 5.804356 18.57866 34.08234 27.39821 29.3275 3.202982 14.96742 358.4586 67.77281 22.91881 79.45673].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.604038 1.80341 2.23987 1.08189 -0.275547 -0.938152 0.2234 -0.0883099 1.13563 1.29144 5.3714 2.06035 5.1799 5.93644 5.61109 1.67846 11.5737 3.50205 0.289484 0.754317 0.462649 4.56002 2.54024 1.92584 -0.420538 2.32929 44.238 4.01324 2.82388 6.57161].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.54079 -0.44399 0.018207 0.1454 -0.086964 0.34748 0.51009 0.0665 1.8963 0.82556 -0.048513 0.31558 0.094936 2.6941 0.27211 0.68658 1.6177 2.1269 0.017037 0.31981 0.606 -0.037986 0.99714 0.20833 0.50104 0.45365 3.357 0.51886 1.6699 1.0245].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.27186 -0.15659 0.26158 0.041182 0.071756 1.155 0.45038 0.055264 -0.11101 -0.42919 0.15071 -0.004278 -0.075459 0.069837 0.74326 0.058483 1.0397 0.87938 0.25378 -0.027886 0.42688 1.299 -0.20316 0.017194 0.0091856 -0.021652 1.877 0.96448 -0.019665 1.3678].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.034762 0.4235 0.19856 0.0077814 0.0021084 0.03466 -1.0814 -0.163 -0.5653 0.40378 -0.04955 -0.075615 0.10449 0.013421 0.25012 -0.058993 0.048509 -0.10638 0.014424 0.10832 0.11315 -0.79719 0.5686 -0.025345 -0.25723 0.41353 -0.19138 1.2241 0.015921 -0.4684].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.2408 0.045406 -0.45556 0.001614 -0.01751 0.0048492 0.47348 0.16968 -0.005515 0.055953 0.054764 0.055673 0.1555 0.0078233 -0.0069945 0.067997 0.019488 -0.18667 -0.031939 0.19335 0.013617 0.16192 0.082645 -0.063203 0.011417 0.1304 0.076005 -0.80395 -0.068635 -0.19604].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.56719 -0.042173 0.28781 0.0050519 0.0091768 -0.016226 0.011321 -0.002648 -0.022683 0.012942 -0.040414 -0.022202 -0.0043797 -0.011341 -0.033999 -0.042322 -0.029396 0.38716 -0.081884 -0.1685 -0.062508 -0.27939 -0.67231 0.10031 0.13704 -0.066173 -0.12129 -0.041247 0.042429 0.49506].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.25778 -0.50991 -0.043695 -0.028724 0.0096442 -0.14663 0.033833 0.0009607 -0.12607 -0.11067 0.036132 0.049098 -0.0078643 -0.03921 0.090661 -0.074521 -0.0033028 -0.15341 0.16391 -0.057003 -0.13909 0.24738 -0.32795 0.024976 -0.19718 0.012929 0.20364 -0.077091 -0.056518 0.052934].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.98301 0.42717 -0.10399 -0.043255 -0.029034 0.16064 0.0033937 -0.015701 0.056288 -0.31927 0.014723 -0.015224 -0.049305 -0.0030405 -0.24134 0.097309 0.064133 0.094891 -0.16152 0.090228 0.16595 -0.040097 0.27014 -0.053248 -0.081937 0.034154 0.023852 0.09714 0.06938 -0.49184].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.043711 -0.88929 -0.1405 0.059897 -0.031429 -0.07294 -0.034349 -0.030312 0.047552 0.22384 0.0019464 -0.12278 -0.033525 0.02408 0.17189 -0.23359 -0.16496 -0.068367 0.20366 -0.32738 -0.063803 0.041266 -0.2248 -0.42541 0.23203 -0.0457 -0.046763 0.031396 -0.0034471 0.46271].
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 [0.351251 -0.0645642 -0.261346 0.296121 -0.0480406 -0.0702216 0.342871 0.429046 0.76713 0.156096 0.610125 -0.194309 -0.07717 0.443207 -0.308932 1.68992 1.606 -0.158585 0.0403396 0.5038 -0.148335 0.0323033 0.310694 -0.990103 0.207542 -0.189159 30.204 0.756866 0.696174 -0.281485].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.197239 -0.229994 -0.252913 0.00162329 -0.225225 0.0678143 0.148509 -0.0319067 0.0410813 -0.244227 0.161389 -0.0868265 0.573921 -0.165465 0.364469 -0.943359 -0.0241011 0.429713 -0.0417943 0.0287333 -0.058042 -0.00233161 0.149962 0.0109357 -0.0357532 -0.0731703 41.4598 0.0599513 0.123848 -0.0416151].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.089427 0.62861 -0.23096 0.43709 -0.12334 -0.034696 0.10334 -0.071094 0.054528 -0.055154 -0.10369 0.1947 -0.15327 -1.5194 -0.52564 -0.47194 1.0428 0.15168 0.070522 -0.042762 -0.42855 -0.046425 -0.10841 -0.021974 0.40633 0.32235 6.254 0.39011 -0.33959 0.7611].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.025816 0.29495 -0.14919 0.066456 -0.007805 0.25263 -0.045405 0.0059629 0.027568 0.02493 0.0073356 -0.052744 0.2284 0.15935 0.18327 0.024311 0.59407 -0.047994 -0.18578 0.036944 0.17587 0.091273 0.14344 0.0030049 -0.12994 0.023841 0.96274 0.61685 0.049189 -0.13537].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.013077 -0.064826 0.31789 -0.098545 0.0024097 0.012987 0.022614 0.019046 0.0053006 0.026651 -0.039847 0.63615 -0.011358 -0.12815 0.070924 -0.065399 0.50553 0.026999 -0.013229 -0.018676 -0.46382 0.028753 0.063188 -0.016095 0.24867 -0.052199 0.064577 -0.18337 -0.1154 -0.18142].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.019454 -0.3705 -0.11685 0.10418 -0.057609 -0.14865 0.078853 0.0017346 -0.30118 -0.29986 -0.14966 -0.043761 -0.017384 0.25523 -0.2499 0.018416 0.94764 -0.16149 0.081117 0.053983 0.7528 -0.00026572 -0.16254 0.027076 0.34459 0.041281 -0.16877 -0.030357 -0.048087 -0.22269].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.031537 0.42606 0.23345 -0.010451 0.0032596 0.17335 0.0051321 -0.021054 0.053851 0.27705 0.069986 0.058128 0.032632 0.030001 0.3289 -0.77592 -0.29784 0.16033 0.017303 0.015931 0.16005 -0.027036 0.10727 -0.022419 -0.26341 -0.065209 0.18541 -0.077782 0.18452 0.37808].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.10873 0.0071625 -0.5496 -0.013847 0.032121 -0.15448 -0.09829 -0.048876 0.17931 0.030074 0.11472 0.0098256 -0.010369 0.01881 -0.16013 -0.10347 -0.15778 0.0058483 0.0072112 -0.00043735 -0.24376 0.016658 -0.0035132 0.01215 0.22196 -0.056159 0.00084746 0.23525 0.0036704 -0.12443].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.068964 -0.23269 0.0175 -0.076065 -0.011581 0.10398 0.11439 0.038569 0.045559 0.0053506 -0.13572 -0.32143 -0.26182 -0.001195 -0.28898 0.12219 0.024475 -0.00010234 -0.00041072 -0.011578 0.2663 -0.029787 0.06497 -0.0031125 -0.37822 0.1131 -0.28942 -0.0011143 -0.22685 0.17926].
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 [0.118437 0.211613 0.244608 0.0178574 0.104937 0.0553687 -0.225204 0.320266 0.601017 -0.0193684 0.104192 0.416287 -0.0592411 0.11596 -0.727203 0.153421 0.548008 -0.516558 -0.0664477 -0.0536164 0.0526762 0.0901784 -0.487142 -0.0719399 0.0294834 -0.0160127 47.711 0.174584 0.0358746 -1.17945].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0245743 0.0797183 0.100859 -0.444802 0.84083 0.18063 -0.0444232 -0.0118256 -0.0163888 -1.24842 -0.164466 0.0780112 -0.216169 -0.322969 -0.0412432 0.120426 0.634391 -0.0379178 0.0193893 -0.239823 0.165868 0.111987 0.0694833 0.00273681 0.459025 0.0740084 88.3797 0.0761787 0.346721 0.393362].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.36304 0.65268 0.18071 0.016636 0.029422 0.23106 -0.59525 0.17183 -0.050215 -0.088551 -0.056533 -0.59274 0.11802 -0.1976 -0.090622 0.13028 1.7349 -0.092761 -0.00238 0.12698 0.31951 -0.077784 -0.62107 -0.034581 -0.14681 -0.21255 2.9839 -0.3271 0.19982 -0.63531].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.19806 0.23461 -0.17665 0.34136 -0.23607 -0.0062872 0.089781 -0.031942 -0.18552 -0.063028 -0.063101 0.1556 -0.010356 -0.095894 0.29661 -0.13969 0.12114 0.0042793 0.012402 -0.38103 -0.21498 0.10369 -0.67586 -0.038354 -0.028326 -0.01117 5.6074 0.51637 0.22353 -0.16721].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.19047 -0.26788 0.23204 -0.33423 0.28686 0.006859 0.21076 -0.17006 -1.1061 0.10149 0.13677 0.09761 -0.21674 0.042329 0.089323 0.234 -0.65513 0.13335 0.00031655 0.078001 -0.29712 -0.17266 0.053036 -0.37227 0.026722 -0.15172 2.3528 -0.023418 -0.38155 0.20124].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.031305 0.15758 -0.1452 0.13905 -0.55938 -0.0033253 -0.13365 0.099734 0.058672 0.0054208 -0.071478 0.016535 0.18711 0.04231 -0.98285 -0.40618 0.25131 -0.19415 -0.090709 0.15218 -0.17477 0.12272 0.078637 0.60258 -0.1395 0.070913 2.3981 0.96123 0.15062 -0.09232].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0040794 0.29557 -0.041326 0.1876 -0.50908 0.005211 -0.93792 0.067613 -0.17105 -0.029815 0.040529 -0.046782 -0.063665 -0.013079 0.017806 -0.84946 -0.4842 0.23753 0.090833 0.15185 0.7894 0.011273 0.22987 -0.045178 0.13388 0.057393 0.041299 0.28403 0.43012 -0.67997].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.032278 -0.31003 0.29614 -0.59413 0.34896 -0.016232 0.30185 -0.050813 -0.34785 0.014918 -0.065827 -0.33787 0.079562 0.015201 0.0010115 0.15046 0.35785 -0.39153 -0.091593 0.10016 -0.20591 -0.081308 -0.60165 -0.17047 0.005773 -0.015766 -0.076685 -0.1368 -0.2029 0.2309].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0089296 0.34157 -0.23494 0.18369 -0.21176 0.016776 0.20468 -0.080744 0.44365 0.018624 -0.097212 0.40324 0.024203 0.0035603 -0.19706 -0.087226 -0.21351 0.40754 0.094562 -0.17515 0.37009 0.11285 -0.001713 0.3748 -0.18452 -0.040871 0.076512 0.14127 0.36839 -0.3619].
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 [0.0394885 -0.11319 -0.0475389 -0.0410702 0.0662626 0.167921 -0.0515084 -0.137332 -0.402852 0.531943 0.498937 0.00667615 -0.000510471 0.248379 -0.0427866 0.229618 -0.0778387 -0.146127 -0.0891363 -0.2396 -0.208062 0.0569828 0.0337081 0.630734 0.0588574 0.0612598 83.4444 0.0044977 -0.140266 -0.890535].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.109605 0.165566 0.0238618 0.0382669 -0.505517 0.121421 0.0291493 0.320365 0.441286 -0.844497 0.135789 -0.0340513 0.0659905 -0.67738 -0.399831 -0.0370716 0.145288 -0.321073 0.0258566 -0.140165 0.105313 -0.899104 0.283165 0.00214603 0.328251 0.0863316 99.029 0.0214399 0.266203 0.114867].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.010273 -0.090113 0.055208 0.11198 -0.17894 0.12889 -0.30767 0.023014 0.027267 0.37174 -0.52068 0.00031812 -0.16207 0.3739 0.03891 0.31055 -0.018182 -0.13654 -0.016573 -0.065952 -0.28859 -0.12906 0.05891 0.3507 0.091552 0.068958 0.65416 0.38157 0.027191 -0.48852].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.097182 0.005091 -0.030498 0.17368 -0.16715 0.014573 0.10491 -0.011168 0.11085 -0.30167 0.10558 0.23872 -0.12485 -0.36791 -0.49939 0.041506 0.53997 -0.014383 -0.13042 0.0089517 -0.025902 -0.23607 -0.14803 0.0029849 -0.39009 0.69354 0.79399 0.2723 0.015456 0.25358].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.24817 0.022612 0.032455 -0.098781 0.25371 -0.0025314 0.18649 -0.020524 -0.29397 0.35838 -0.18351 -0.28438 0.039011 -0.53406 0.52412 -0.18553 0.5406 -0.52857 0.0095344 0.046826 -0.0004119 0.39164 0.24099 -0.075719 0.58256 0.013562 0.83909 0.10819 0.0069354 -0.18323].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.18056 -0.32172 -0.011619 0.15863 0.027054 0.0049671 -0.015577 -0.013897 0.22065 -0.082919 0.14363 0.32585 -0.32414 -0.25975 -0.2008 -0.2649 0.56726 0.13675 -0.0012513 0.017842 0.0016875 -0.29737 -0.21868 0.055271 -0.14079 -0.13532 4.4547 0.083936 -0.14351 -0.003829].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.052016 0.25477 0.0040761 -0.10383 0.024294 -0.011494 -0.30517 0.019712 -0.57017 -0.26473 -0.027534 0.031409 0.15904 0.11912 0.161 0.46639 0.89162 -0.065179 0.042947 -0.16645 -0.029259 0.028293 0.24297 -0.049936 -0.045405 0.34617 3.1853 0.083276 -0.017948 0.22862].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.015223 -0.30295 -0.25631 0.17444 -0.11482 0.0082388 0.13148 0.034642 0.96062 0.28032 0.033174 -0.2643 0.028756 -0.1702 0.046569 -0.47677 -0.28792 0.13967 -0.12114 -0.23271 -0.099506 0.23893 -0.0087978 0.073581 0.31335 -0.16725 0.040642 -0.00073013 -0.041443 -0.034842].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.015265 0.3627 0.25556 -0.0097851 0.064953 -0.013684 -0.78862 0.0048079 0.0067538 0.032772 0.038685 0.18681 0.23196 -0.16323 -0.064907 0.47007 0.18161 -0.0077762 -0.068377 0.33294 0.12727 0.0048006 -0.22938 -0.086254 -0.017927 0.06283 -0.066363 -0.32835 0.19908 -0.46203].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.063227 0.17014 0.0013785 -0.29917 -0.31794 0.015481 -0.25706 -0.058075 0.0018949 -0.23423 0.044725 0.11524 -0.11754 0.44754 0.062733 -0.014457 -0.16119 -0.58243 0.32811 0.10514 -0.0024946 -0.25928 0.096365 0.044118 -0.125 -0.3257 -0.057538 0.33702 -0.16153 0.12717].
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 [-0.427319 -0.0307237 0.33543 0.0833505 -0.330527 0.284982 0.00142822 0.0262718 -0.426158 0.178864 0.0508909 -0.265475 0.0848 0.0834777 -0.118269 0.282326 1.26361 0.536976 0.0370328 0.284484 -0.149399 0.0278973 0.409257 -0.186529 0.0142072 0.0142225 91.1408 -0.212403 0.477678 0.395744].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.3088584 0.3882327 -0.09418001 -0.2360157 -0.06479764 -0.430351 -0.1771807 -0.1502671 0.3651057 -0.02742294 -0.8043476 0.04805414 0.08004415 -0.1881666 0.1484119 -0.1589317 0.5106974 -0.162588 0.02587691 0.3336717 -0.04066771 0.4590006 0.02774634 -0.3867694 -0.1262589 0.05832914 112.2142 -0.09078701 0.2713486 -0.04738243].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.059208 0.80013 -0.049255 0.092003 -0.0094276 -0.011748 0.067869 -0.11933 0.18746 -0.26309 -0.025436 -0.77168 -0.34519 1.1058 -0.076573 -0.47498 0.24234 -0.058824 0.03364 -0.010328 -0.26645 -0.16839 0.22938 -0.19135 0.19377 0.19172 0.32168 0.09295 -0.34402 -0.5188].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.10785 0.06542 0.0058117 -0.082199 0.099398 -0.0076039 -0.073715 0.0056694 0.25217 0.26031 -0.042813 -0.00017038 0.37409 0.47444 0.1529 0.25821 0.18674 -0.2206 -0.12092 0.0014997 -0.066954 0.057466 0.34495 -0.72072 0.0074414 -0.60464 0.32989 0.054049 0.13209 -0.25698].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.13032 0.22511 0.0076666 0.22882 -0.37155 0.074867 0.06967 0.0093333 0.03192 0.15764 -0.037008 -0.54634 -0.14096 0.061251 0.11599 0.030861 -0.35006 0.29959 0.19919 -0.16363 0.070427 -0.026926 0.064855 0.0062163 -0.033389 0.65448 -0.035796 -0.0076617 0.046539 0.084506].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.023968 0.051661 -0.094023 -0.0015629 0.39992 -0.020496 -0.057265 -0.0039692 -6.6787e-05 -0.39938 -0.60908 0.33464 0.53684 -0.21008 0.04662 0.0529 0.36084 0.027238 0.083912 0.19302 -0.33026 -0.036482 0.011763 0.0025742 0.02159 0.032259 0.038342 -0.03789 -0.0010158 -0.043759].
# Iteration 7:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.085954 -0.37507 0.10529 -0.27696 -0.21136 -0.21807 -0.015985 0.0021542 -0.042084 0.12479 -0.00078266 -0.47574 -0.19769 0.1747 -0.0078474 -0.32314 -0.0071411 0.011155 0.014571 -0.0084701 0.32896 -0.15437 -0.45228 0.0014501 -0.055009 -0.033206 -3.25 -0.090198 -0.061528 -0.10061].
# Iteration 8:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.29379 0.39245 0.0051512 -0.14635 0.2259 0.24646 0.042569 -0.0050508 0.032861 0.4108 -0.23209 0.15109 0.27371 -0.10374 -0.043105 -0.0031024 -0.25056 -0.040452 -0.19699 0.10452 -0.041941 -0.18002 0.27127 0.0013532 0.056631 0.18694 5.7448 0.12603 0.054492 0.13131].
# Iteration 9:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.30656 -0.58778 -0.015123 0.45052 -0.30147 -0.025458 0.09803 -0.16184 -0.2286 -0.46401 0.15227 0.12799 -0.34397 0.079654 0.017559 0.27729 0.12878 0.035027 -0.29031 0.045762 -0.0039956 0.24636 0.065666 -0.070152 -0.203 -0.26631 -0.34582 -0.45471 -0.11826 0.022087].
# Iteration 10:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.26215 0.1783 0.017012 -0.059305 0.24816 -0.25826 -0.034443 0.096483 0.22539 -1.0479 0.055166 0.218 0.12101 0.047657 -0.16242 0.072732 0.014323 -0.085593 0.44009 -0.011456 -0.18639 -0.10943 -0.059941 -0.089815 0.16591 0.31767 -0.45249 0.29895 0.12879 -0.043081].
# 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/R22_d18O_stack.
-------------------------------------------------------------------------------------------
Time elapsed = 30302 s