GOBNILP Run started at: 2025-05-07 09:21:27.111287
Command: /home/yryang/miniconda3/bin/python3 /home/yryang/Bayesian_Network/gobnilp_bn/rungobnilp.py /home/yryang/Bayesian_Network/gobnilp_bn/data/Data_20_5000_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
49 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 -136544.45
**********
0<- -6009.145700889604
1<- -5715.664396844639
10<- -9483.786923760856
11<- -7580.141643376027
12<- -5977.072140388412
13<-5 -5612.049324710481
5<- -7336.545750853737
14<-10 -5877.639216678562
15<- -8952.531797063097
16<- -7162.083292794382
17<-15 -5765.164110712195
18<-11,6 -6596.274432663121
6<- -6501.961619061957
19<- -6238.992013502088
2<- -7361.681386129569
3<- -6115.038610698187
4<- -6861.636326940055
7<- -6977.495792440073
8<- -6956.442623536963
9<-17,2 -7463.104875314183
**********
bnlearn modelstring = 
[0][1][10][11][12][13|5][5][14|10][15][16][17|15][18|11:6][6][19][2][3][4][7][8][9|2:17]

GOBNILP Run completed at: 2025-05-07 09:21:28.475273
