forked from eilion/BIGMACS
-
Notifications
You must be signed in to change notification settings - Fork 0
/
R52.log
181 lines (177 loc) · 11.4 KB
/
R52.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
node50.podcluster
< M A T L A B (R) >
Copyright 1984-2021 The MathWorks, Inc.
R2021b Update 1 (9.11.0.1809720) 64-bit (glnxa64)
November 2, 2021
[Warning: Unrecognized command line option: nospxlash.]
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: 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 [381.5122 188.5634 80.02667 75.80219 6.769478 32.01376 35.88972 35.2446 79.10215 32.72562 123.2268 254.4022 151.147 17.55481 27.41459 93.56108 237.4024].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.025502 0.086081 0.16032 -0.25157 -0.1117 0.081825 -0.16463 0.13942 -0.032888 0.089394 0.069661 0.40642 0.071764 0.005297 -0.0091545 0.48634 0.49979].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.11605 -0.014796 0.13478 0.0026904 0.0015115 0.11026 -0.028683 0.15983 0.12382 -0.061515 -0.0032142 0.006344 0.066774 0.024088 -0.014527 0.0020263 0.076924].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.070765 -0.015995 0.0017927 0.075015 0.00015408 0.0093311 -0.22497 0.03907 -0.0021999 0.0022039 -0.11467 -0.077768 -0.012404 0.037933 -0.00041397 0.044663 -0.0010843].
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 [308.4085 136.3402 58.83978 130.8964 5.40697 15.2919 79.16253 79.01181 80.97011 35.4249 76.04728 181.5184 175.6316 11.2736 21.74806 44.59823 306.3532].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.075814 0.42108 0.66501 0.021372 -0.032459 0.37209 0.13714 -0.020416 0.17826 0.092918 0.0065477 0.21677 0.098531 0.28135 -0.091461 0.076118 0.66209].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.42211 -0.59023 0.11608 0.031077 -0.065024 0.033598 0.038549 -0.021468 0.01568 0.037963 -0.73785 0.034634 0.097628 -0.0032947 0.21939 0.011227 0.0087827].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.1449 0.044237 0.032941 0.021174 0.01047 -0.25493 -0.03786 -0.020968 0.1254 -0.0051706 0.20363 -0.05839 -0.002904 -0.001544 0.07109 0.0034578 -0.30871].
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 [0.020985 0.46511 0.039307 0.06578 0.079599 0.02093 0.12779 0.62513 0.051559 0.32569 0.096162 -0.21074 -0.019514 0.26462 0.18915 0.098506 1.5446].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.33786 0.40791 0.039684 -0.035918 -0.039467 0.030123 0.052074 -0.13312 -0.095836 0.055703 0.02279 -0.30117 0.17469 -0.14551 -0.091393 0.01043 0.68054].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.4759 0.16377 0.13305 -0.14443 0.136 0.027322 -0.023315 0.011266 -0.017641 -0.040104 0.021028 0.072132 0.059933 -0.013407 -0.0050447 0.081862 -0.041906].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.084378 0.059253 0.16995 -0.0010486 -0.23237 -0.15595 -0.0068841 0.019915 -0.015948 -0.052524 0.035383 -0.28495 -0.044799 0.046275 -0.24658 0.077757 -0.1524].
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 [0.092349 -0.092705 0.32266 0.17868 0.32813 -0.054754 0.015149 -0.041529 -0.36933 0.0031978 0.0073145 0.56109 0.31077 -0.009528 0.0010919 0.027402 0.97318].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.055538 -0.087817 0.035679 -0.035115 -0.10316 -0.077356 0.0046577 0.23485 0.047176 0.025982 -0.023091 0.027452 -0.0086379 -0.0093146 -0.0033711 -0.021018 -0.51396].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.024632 0.18827 0.066737 -0.084399 0.010433 -0.12273 0.00798 -0.014123 -0.22666 -0.025242 0.022577 -0.21082 0.0037067 0.054268 0.14063 -0.018973 0.70298].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.05716 -0.27514 -0.27327 0.075467 -0.050651 -0.02434 -0.044793 -0.064745 -0.06495 0.053895 0.055202 -0.13796 -0.16437 -0.037397 -0.088005 -0.029692 0.11478].
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 [-0.0957 -0.020222 0.26099 -0.11152 0.096762 -0.15147 0.02919 0.27684 -0.029111 0.17318 -0.020408 0.15725 -0.080007 -0.025283 -0.029439 -0.0050765 -0.0011272].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.18676 -0.072142 -0.36146 -0.30326 -0.18187 -0.038325 -0.14646 0.083666 0.053006 -0.0052534 -0.015891 -0.10574 0.24386 0.081223 0.019498 0.085952 -0.41128].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.60452 0.35578 -0.11458 0.0021781 -0.052649 -0.22219 0.40197 0.02769 -0.010242 0.0022752 -0.024418 0.049275 0.044712 0.04499 -0.038708 0.12405 -0.0047364].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.041693 -0.0052119 -0.19224 -0.22705 -0.0052974 0.16158 0.081682 -0.039141 -0.029261 -0.033504 -0.8159 -0.02766 -0.39573 -0.044498 0.0012522 0.036161 -0.39928].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0067487 0.01103 0.18777 0.30439 -0.0047429 -0.0067881 -0.12585 -0.11229 0.067326 0.058165 -0.171 0.017837 0.31549 0.058861 0.001044 -0.07127 0.18236].
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 [-0.01637 0.19765 0.099454 0.084798 -0.061267 0.013406 0.0085683 -0.034222 -0.29411 0.037053 0.039168 -0.17275 -0.007031 -0.0067971 0.085518 0.011517 0.17288].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.013986 0.27845 -0.18436 -0.27497 0.2649 -0.11308 -0.091119 -0.43018 -0.11381 -0.09512 0.066331 0.30037 -0.11123 -0.0024918 0.019505 -0.082275 0.14108].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.085751 0.19929 -0.018463 0.017411 0.025119 -0.070084 0.17736 0.086782 0.15627 0.077687 0.14425 0.16002 0.10907 0.10604 0.11642 -0.12279 0.10884].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.095922 0.025309 -0.030284 0.59404 -0.038152 -0.060633 -0.007512 0.016061 0.12567 -0.075383 0.052442 -0.16936 -0.12238 -0.010895 0.13201 -0.22948 0.49833].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.015673 0.22678 0.059237 -0.34744 0.0081782 -0.13093 -0.016761 0.0054052 0.27674 -0.021316 0.0014648 -0.010641 0.037531 0.013535 -0.054936 0.028566 -0.28727].
# Parameters are learned. Sampling algorithm is now running...
-------------------------------------------------------------------------------------------
# Results and figures are being stored...
Done.
Results and figures are stored in Outputs/R52_d18O_stack.
-------------------------------------------------------------------------------------------
>>