GOBNILP Run started at: 2025-05-07 09:21:02.769942
Command: /home/yryang/miniconda3/bin/python3 /home/yryang/Bayesian_Network/gobnilp_bn/rungobnilp.py /home/yryang/Bayesian_Network/gobnilp_bn/data/Data_15_20000_2_8.dat --output_stem output --score GaussianBIC --palim 3 --nsols 1 --verbose 1

C ADTree implementation unavailable, so learning with discrete data may be slow.
ADTree implementation is here: https://bitbucket.org/jamescussens/pyadtree
No module named 'adtree'
Set parameter LicenseID to value 2623789
Set parameter PreCrush to value 1
Set parameter CutPasses to value 100000
Set parameter GomoryPasses to value 100000
Set parameter MIPFocus to value 2
Set parameter ZeroHalfCuts to value 2
Set parameter MIPGap to value 0
Set parameter MIPGapAbs to value 0
3495 family variables declared
210 arrow variables declared
105 adj variables declared
15 constraints insisting on exactly one parent set for each variable
907 set packing constraints declared
364 constraints linking arrows to family variables declared
28 arrow variables removed
91 constraints linking arrows to adjs declared
14 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -396741.68
**********
0<-2 -24843.029327836222
2<- -32079.94339255023
1<-0,14,6 -27498.344992616512
6<- -27245.331768686618
14<-3,4,9 -23862.044606492585
10<- -22569.30984726369
11<-12,13,8 -5896.350209446208
8<-3,4,9 -18528.512571759427
13<-12,2 -27632.81480697092
12<- -39188.02837039309
3<-12,4,9 -46800.12549744982
9<-12,13,6 -27869.59709346151
4<-5 -22588.345714924613
5<-13,2,7 -21619.044318460343
7<-12 -28520.857767466336
**********
bnlearn modelstring = 
[0|2][2][1|6:14:0][6][14|3:9:4][10][11|8:13:12][8|3:9:4][13|2:12][12][3|9:4:12][9|6:13:12][4|5][5|2:7:13][7|12]

GOBNILP Run completed at: 2025-05-07 09:23:03.243917
