GOBNILP Run started at: 2025-05-07 09:33:35.901522
Command: /home/yryang/miniconda3/bin/python3 /home/yryang/Bayesian_Network/gobnilp_bn/rungobnilp.py /home/yryang/Bayesian_Network/gobnilp_bn/data/Data_20_20000_0.5_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
51 family variables declared
380 arrow variables declared
190 adj variables declared
20 constraints insisting on exactly one parent set for each variable
3 set packing constraints declared
48 constraints linking arrows to family variables declared
356 arrow variables removed
13 constraints linking arrows to adjs declared
177 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -527730.1
**********
0<- -23983.097166880907
1<- -21980.52760068653
10<- -33013.008366424
11<- -24175.830493309295
12<- -26362.671686843434
13<- -24013.434379610153
14<-10 -22023.888785320025
15<- -42470.213967244694
16<- -31149.670880880105
17<-15 -11575.461958037407
18<-11,6 -21697.8143590267
6<- -24544.373245056115
19<- -22169.24830569139
2<- -24470.682573848655
3<- -29389.34898971404
4<- -26581.479827725383
5<-13 -31809.413053100354
7<- -31903.940850747305
8<- -27143.337353504536
9<-17,2 -27272.653301614388
**********
bnlearn modelstring = 
[0][1][10][11][12][13][14|10][15][16][17|15][18|11:6][6][19][2][3][4][5|13][7][8][9|2:17]

GOBNILP Run completed at: 2025-05-07 09:33:37.407998
