GOBNILP Run started at: 2025-05-07 09:21:37.361818
Command: /home/yryang/miniconda3/bin/python3 /home/yryang/Bayesian_Network/gobnilp_bn/rungobnilp.py /home/yryang/Bayesian_Network/gobnilp_bn/data/Data_20_5000_1_3.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
129 family variables declared
380 arrow variables declared
190 adj variables declared
20 constraints insisting on exactly one parent set for each variable
14 set packing constraints declared
120 constraints linking arrows to family variables declared
320 arrow variables removed
32 constraints linking arrows to adjs declared
158 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -135616.29
**********
0<- -6009.145700889604
1<-6 -4777.579293918297
6<-4 -7908.149287482505
10<-14 -5548.369370253735
14<- -6956.442623536963
11<- -8948.541936350879
12<-11 -4619.57997113986
13<-5 -6011.720739817435
5<- -8750.75005125948
15<-8 -4452.343076987962
8<-18 -13348.523219580327
16<- -7580.141643376027
17<-15 -3284.6931245503174
18<-11,6 -6841.002211175336
19<- -6008.2568192508525
2<- -7361.681386129569
3<- -6115.038610698187
4<- -6421.618919963203
7<- -6861.636326940055
9<-17,2 -7811.075554257198
**********
bnlearn modelstring = 
[0][1|6][6|4][10|14][14][11][12|11][13|5][5][15|8][8|18][16][17|15][18|6:11][19][2][3][4][7][9|2:17]

GOBNILP Run completed at: 2025-05-07 09:21:38.951159
