GOBNILP Run started at: 2025-05-07 09:33:29.324302
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_2.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
486 family variables declared
380 arrow variables declared
190 adj variables declared
20 constraints insisting on exactly one parent set for each variable
155 set packing constraints declared
280 constraints linking arrows to family variables declared
240 arrow variables removed
70 constraints linking arrows to adjs declared
120 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -528839.32
**********
0<- -27487.27020833572
1<- -26452.19393986898
10<- -27047.072223037463
11<- -23408.255159207263
12<- -31775.04162158573
13<-11 -25025.719095811546
14<-1 -25433.000641981685
15<-11,17 -23394.804046786216
17<- -22255.825746756724
16<-10,17,7 -30272.75586867697
7<-18 -22525.09525596716
18<- -31246.062687459267
19<-0 -25495.878822588747
2<- -28596.36756670868
3<-0 -23165.0497035327
4<- -26188.297969798354
5<- -34121.5308215779
6<-13,17,9 -28959.155652358975
9<-5 -16699.491669485007
8<-16 -29290.45413588024
**********
bnlearn modelstring = 
[0][1][10][11][12][13|11][14|1][15|17:11][17][16|17:10:7][7|18][18][19|0][2][3|0][4][5][6|17:9:13][9|5][8|16]

GOBNILP Run completed at: 2025-05-07 09:33:37.279248
