GOBNILP Run started at: 2025-05-07 10:35:27.635454
Command: /home/yryang/miniconda3/bin/python3 /home/yryang/Bayesian_Network/gobnilp_bn/rungobnilp.py /home/yryang/Bayesian_Network/gobnilp_bn/data/Data_25_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
43 family variables declared
600 arrow variables declared
300 adj variables declared
25 constraints insisting on exactly one parent set for each variable
2 set packing constraints declared
28 constraints linking arrows to family variables declared
586 arrow variables removed
7 constraints linking arrows to adjs declared
293 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -167374.0
**********
0<- -6011.801774319836
1<- -7665.950594933182
10<- -8842.746010673789
11<-14,21 -7696.590497562228
14<-9 -2834.929540131342
21<- -5731.017506510644
12<- -7827.087700084006
13<- -5665.542155450875
9<- -9686.042157421161
15<- -7132.155224731872
16<- -6942.078811824717
17<- -7255.095669707294
18<- -6901.114015938795
19<- -6016.7955647350345
2<- -6236.780087307783
20<- -8005.564639963437
22<- -5792.657613598353
23<- -6443.930086704746
24<- -5460.335109787176
3<- -6608.168156470081
4<- -7199.561346568248
5<- -5433.9368126140125
6<- -6257.7488184256135
7<- -7802.224058703891
8<-10 -5924.145808726195
**********
bnlearn modelstring = 
[0][1][10][11|14:21][14|9][21][12][13][9][15][16][17][18][19][2][20][22][23][24][3][4][5][6][7][8|10]

GOBNILP Run completed at: 2025-05-07 10:35:29.281013
