GOBNILP Run started at: 2025-05-07 09:21:35.613565
Command: /home/yryang/miniconda3/bin/python3 /home/yryang/Bayesian_Network/gobnilp_bn/rungobnilp.py /home/yryang/Bayesian_Network/gobnilp_bn/data/Data_20_5000_0.5_9.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
91 family variables declared
380 arrow variables declared
190 adj variables declared
20 constraints insisting on exactly one parent set for each variable
8 set packing constraints declared
88 constraints linking arrows to family variables declared
336 arrow variables removed
22 constraints linking arrows to adjs declared
168 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -139205.76
**********
0<-18 -7403.343070479797
18<-2,6 -6682.922305563602
1<-12 -6819.796473254214
12<- -6093.91293745625
10<-7 -7746.01727933315
7<- -5922.070913333781
11<- -7622.232675508585
13<- -9233.338024435508
14<- -6412.654197027684
15<- -7737.484142562038
16<-9 -6399.180569849386
9<- -7804.176006274789
17<- -6097.344231477354
6<-13 -4355.103205042987
2<- -6390.067397967569
19<-10,12 -8021.791873582552
3<- -5597.356134596302
4<- -7588.309296968568
5<- -7804.505430383106
8<-14 -7474.15699028831
**********
bnlearn modelstring = 
[0|18][18|6:2][1|12][12][10|7][7][11][13][14][15][16|9][9][17][6|13][2][19|10:12][3][4][5][8|14]

GOBNILP Run completed at: 2025-05-07 09:21:37.052104
