GOBNILP Run started at: 2025-05-07 09:33:50.293796
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_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
89 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
84 constraints linking arrows to family variables declared
338 arrow variables removed
21 constraints linking arrows to adjs declared
169 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -511205.28
**********
0<-18 -30878.182437994703
18<-2,6 -27123.494048724446
1<-12 -28266.214509516947
12<- -23489.337682711608
10<-7 -25019.155119093415
7<- -25148.524212746142
11<- -22260.828536812212
13<- -34890.36349836582
14<- -27112.56520976901
15<- -22994.997894211596
16<- -25114.821742985434
17<- -24696.894333466327
2<- -25362.03722847751
6<-13 -14745.462508736719
19<-10,12 -27332.8466806582
3<- -27074.856483049447
4<- -21775.98268937255
5<- -24966.33004880522
8<- -24271.585220521385
9<-16 -28680.796795871523
**********
bnlearn modelstring = 
[0|18][18|2:6][1|12][12][10|7][7][11][13][14][15][16][17][2][6|13][19|10:12][3][4][5][8][9|16]

GOBNILP Run completed at: 2025-05-07 09:33:51.813108
