GOBNILP Run started at: 2025-05-07 09:33:18.750821
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_0.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
131 family variables declared
380 arrow variables declared
190 adj variables declared
20 constraints insisting on exactly one parent set for each variable
24 set packing constraints declared
100 constraints linking arrows to family variables declared
330 arrow variables removed
25 constraints linking arrows to adjs declared
165 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -539305.26
**********
0<- -25267.45737527706
1<- -22615.91883986545
10<- -29991.97945746211
11<-8 -32114.33681776979
8<- -22964.202679450875
12<- -21464.179448629016
13<-1,18 -30671.883713497213
18<- -28470.141219806545
14<- -23060.978422404056
15<- -25065.39319933968
16<-14,7,9 -22579.17550694735
7<- -26814.92072714921
9<-13 -31355.07652429354
17<- -30983.734019301755
19<- -23200.00026390659
2<- -24728.03321177391
3<- -30500.207492610658
4<-17 -29021.42884656272
5<-17 -31968.27141833465
6<- -26467.944157202157
**********
bnlearn modelstring = 
[0][1][10][11|8][8][12][13|1:18][18][14][15][16|7:9:14][7][9|13][17][19][2][3][4|17][5|17][6]

GOBNILP Run completed at: 2025-05-07 09:33:20.376831
