forked from eilion/BIGMACS
-
Notifications
You must be signed in to change notification settings - Fork 0
/
R8.log
234 lines (230 loc) · 14.9 KB
/
R8.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
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 [61.79456 137.5252 89.58118 21.49785 88.17148 22.26799 567.2821 84.12849 42.31614 23.63398 40.39776 38.44561 129.7867].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.94882 4.9459 0.0028324 0.3827 4.2536 0.52647 2.216 4.8644 4.7836 -0.19965 0.44078 -0.4448 8.1379].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.13014 0.17937 0.10189 -0.010768 -0.33359 0.2843 1.7181 -0.14768 -1.4062 -0.092536 0.067196 0.33354 -0.10606].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.073158 0.74591 0.12565 0.041248 -0.1794 -0.14555 5.6616 -0.15451 1.1228 0.017164 -0.58946 -0.061529 1.3741].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.041186 -0.028685 -0.22884 0.0046233 0.21496 0.10953 0.10678 -0.17767 0.18826 0.082725 0.018682 0.0035696 0.054991].
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 [200.60074 319.26973 7.47431 68.438553 278.73016 489.87312 1294.9803 1284.3249 477.34259 113.67267 208.82816 128.54895 1059.8621].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [13.60151 21.15965 0.01947384 2.562005 39.07288 25.30778 25.81741 187.9506 15.37893 7.951116 19.04266 3.528578 173.2288].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [2.55769 0.552671 -0.0625485 0.321694 8.67887 4.0643 2.54019 28.9472 4.47768 0.472681 1.7251 0.443494 28.0801].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.71722 -0.48813 0.11741 2.077 1.7432 2.9944 -0.14791 3.8807 1.3309 0.040753 -0.23244 0.026106 2.3101].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.077621 0.49036 -0.021678 0.34466 0.80159 -0.0012694 0.46707 -0.33133 0.080742 0.00054297 -0.172 -0.34763 0.5706].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.11277 -0.015769 -0.18635 -0.003937 -0.0026362 -0.0041164 -0.18678 0.21324 0.077782 0.0071276 0.16305 0.29144 -0.01151].
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 [0.2672 0.943899 0.50196 2.99958 1.09581 5.00206 13.6494 12.8514 1.79796 1.74965 0.205681 5.78679 12.0344].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.094068 0.22055 -0.02008 -0.12744 0.36838 0.67535 0.15963 -1.4231 -0.77697 0.17498 0.27637 5.8952 0.45504].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.86536 0.047472 -0.0022882 0.17237 -0.021205 0.090297 -0.10223 0.15693 0.10875 0.023316 -0.16299 1.3489 0.30583].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.13646 0.082795 0.017846 0.30566 0.16221 0.13538 -0.013472 -0.70871 0.22617 -0.020923 0.039917 1.6372 0.42478].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.22264 -0.050795 -0.0024727 -0.31574 0.23532 -0.05105 0.024751 1.8188 0.1381 -0.032378 0.0031078 2.5707 -0.58277].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.296 0.013398 -0.0038539 -0.23317 -0.0067297 -0.29386 -0.22404 0.091065 -0.12704 -0.0073187 -0.13149 0.50339 0.098354].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.099363 0.05054 0.012831 0.37545 -0.1661 0.3325 -1.0321 -0.33822 0.092288 -0.12946 0.075624 0.020134 -0.35044].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.18917 -0.031914 -0.023202 0.39139 -0.050123 -0.016457 -1.8423 0.27187 -0.13401 0.16669 -0.074896 0.21738 0.0064588].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.018923 0.024178 -0.0093425 -0.26377 -0.13353 -0.21811 0.19081 0.069423 0.11838 -0.1398 0.09422 -0.20337 0.35662].
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 [0.99919 0.60173 0.22608 0.28267 -0.3426 0.9003 2.3958 3.5188 0.022922 0.056483 0.23896 0.13126 2.495].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [1.7318 0.029558 -0.040787 -0.066998 -0.3285 -0.0042798 -0.02529 -0.031344 -1.0632 0.13035 -0.0076848 -0.72166 -0.07239].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.48352 0.028322 -0.025281 -0.086924 -0.59289 0.5588 -0.034406 0.45436 0.13419 -0.018302 -0.18291 0.10795 -0.31001].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.15485 -0.070097 -0.027427 -0.23006 -0.3871 -0.46693 0.18561 0.048826 -1.0533 0.038364 0.11715 -0.053314 0.043245].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.6203 -0.043659 -0.0045944 -0.12665 0.092738 -0.020822 0.23644 0.16084 0.06452 0.085898 0.11938 -0.3333 -0.52571].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.69117 0.058351 -0.03851 0.38015 0.31103 -0.63197 -0.5251 -0.23653 -0.015867 -0.020683 0.24649 0.3756 0.026901].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.6536 -0.16278 0.04007 -0.44818 -0.016562 0.12373 -0.025447 0.39804 -0.29221 0.027269 -0.23062 -0.095943 -0.36148].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0055668 0.22781 0.038675 0.81658 0.020229 0.15339 0.006339 -0.042641 0.31873 -0.010401 -0.25953 -0.20664 -0.25355].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.22435 0.0079221 -0.026444 -0.027886 -0.24009 -0.058189 -0.25057 0.04466 -0.10595 -0.043769 -0.031924 0.080876 -0.083942].
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 [0.062151 0.1293 -0.031118 0.21061 -0.023024 0.027798 0.82113 -0.37916 -0.048451 -0.084446 -0.45834 -0.60119 0.25981].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.03065 0.78944 0.0073897 0.054327 -0.13576 0.26516 0.52845 -0.75 0.70189 0.095751 0.47652 0.3262 0.24379].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0065545 0.18346 0.021358 -0.41373 -0.32551 0.045652 -0.50038 -0.49709 0.74697 -0.42193 0.16182 -0.37276 0.087996].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.09638 -0.15885 -0.022746 0.032249 1.0433 -0.20974 -0.74241 0.058589 0.21134 0.86228 -0.44613 -0.016248 0.062041].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.036479 0.26063 0.022983 -0.16959 0.19169 0.44345 0.040172 0.2981 -1.0416 0.20117 0.11626 -0.2642 -0.11653].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.035931 0.27203 0.011132 0.12955 0.19638 -0.19095 -0.13178 -0.050074 -0.006642 -0.010148 0.091375 0.2439 -0.1221].
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 [-0.44734 0.14174 0.041533 0.015329 -0.0066417 -0.027835 0.086605 0.18718 0.074893 -0.40266 0.06941 -0.61217 1.0538].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.11517 0.14756 0.00028057 -0.21896 -0.054731 -0.050581 0.20699 0.62129 -0.15083 0.33649 -0.02263 -1.523 2.1497].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.070494 -0.28849 -0.0025533 -0.18217 0.11598 -0.093733 -0.16416 0.40276 0.50534 -0.35374 1.4268 0.047891 -0.21865].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.026125 -0.40559 0.002411 0.060466 0.23789 -0.024766 -0.27014 -0.22821 -0.04238 0.0016388 -0.088667 0.33591 0.7141].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.13373 -0.14493 -0.03606 -0.20605 -0.12036 0.053936 0.6181 0.23802 -0.19834 -0.11747 -0.014243 0.048606 0.47032].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.021684 0.55333 -0.0033909 0.075199 -0.11352 -0.22235 -0.16016 -2.7295 0.23756 0.054247 -0.018477 -0.20815 0.12164].
# Iteration 7:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.17616 -0.10925 0.014105 -0.14761 0.36993 0.098363 -0.042491 0.16377 -0.21336 0.096407 0.12587 0.17599 0.16557].
# 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/R8_d18O_stack.
-------------------------------------------------------------------------------------------
Time elapsed = 43250 s