GOBNILP Run started at: 2025-05-07 10:36:00.054372
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_8.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
91 family variables declared
600 arrow variables declared
300 adj variables declared
25 constraints insisting on exactly one parent set for each variable
7 set packing constraints declared
90 constraints linking arrows to family variables declared
555 arrow variables removed
25 constraints linking arrows to adjs declared
275 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -174098.41
**********
0<-14,4 -6520.529700956141
4<-22 -4246.173061306466
14<- -6504.519605851764
1<-17,21 -4297.316642208764
21<- -6782.521366056726
17<- -10756.597245691002
10<-16 -4049.6714976058147
16<- -10459.674812813735
11<-20 -3361.040628746977
20<- -10044.81708252059
12<- -6029.45332755428
13<-11 -6933.766719849305
15<- -6448.066593013312
18<- -7632.55854400543
19<- -7234.519364940091
2<- -5771.9863046285545
22<- -10224.522145221654
23<-4 -7695.856324090725
24<- -7499.191201859598
3<-10,12 -6976.384194778583
5<- -7954.761338795008
6<- -7531.170065336528
7<- -6417.98395391156
8<- -5321.075453395897
9<-5,6 -7404.256042053085
**********
bnlearn modelstring = 
[0|4:14][4|22][14][1|21:17][21][17][10|16][16][11|20][20][12][13|11][15][18][19][2][22][23|4][24][3|10:12][5][6][7][8][9|6:5]

GOBNILP Run completed at: 2025-05-07 10:36:01.668673
