GOBNILP Run started at: 2025-05-07 09:29:55.612315
Command: /home/yryang/miniconda3/bin/python3 /home/yryang/Bayesian_Network/gobnilp_bn/rungobnilp.py /home/yryang/Bayesian_Network/gobnilp_bn/data/Data_20_5000_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
9711 family variables declared
380 arrow variables declared
190 adj variables declared
20 constraints insisting on exactly one parent set for each variable
2469 set packing constraints declared
752 constraints linking arrows to family variables declared
4 arrow variables removed
188 constraints linking arrows to adjs declared
2 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -144239.91
**********
0<- -5546.746960059174
1<- -11897.433350687972
10<-15,2 -7831.164943515026
2<-13,14,19 -5033.184438096532
15<-11,13,14 -6297.093983482549
11<-1,12 -3498.3656792388224
12<-1 -5502.769321917883
13<-16 -4009.0415304134704
16<- -14101.625497234472
14<-11,13,7 -8737.211574778956
7<- -7528.861966780523
17<-10,12,6 -10911.949293761472
6<-10,11,3 -6057.419692939349
18<-10,12,17 -5074.3873296448055
19<-11,15,8 -5618.462513814144
8<-13,14,5 -3953.8994297021545
3<-10,11,2 -6868.291169199203
4<-13,14,8 -3783.3294211557422
5<-12,15,7 -15411.261285560848
9<-0,13 -6577.413036092367
**********
bnlearn modelstring = 
[0][1][10|2:15][2|14:19:13][15|11:14:13][11|1:12][12|1][13|16][16][14|7:11:13][7][17|10:6:12][6|10:11:3][18|10:17:12][19|11:8:15][8|5:14:13][3|10:11:2][4|14:8:13][5|7:15:12][9|0:13]

GOBNILP Run completed at: 2025-05-07 11:54:59.178624
