GOBNILP Run started at: 2025-05-07 10:35:40.915752
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_5.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
97 family variables declared
600 arrow variables declared
300 adj variables declared
25 constraints insisting on exactly one parent set for each variable
14 set packing constraints declared
104 constraints linking arrows to family variables declared
548 arrow variables removed
26 constraints linking arrows to adjs declared
274 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -169645.74
**********
0<- -6940.582190426629
1<-11 -7840.9720363416955
11<- -5709.719151336346
10<- -7424.973900822897
12<-10,19 -7994.469371890275
19<- -6526.195455828862
13<- -5969.275943435418
14<-13,23 -7548.9800063086595
23<- -6409.559040298925
15<- -7508.094712307626
16<- -7210.92877032047
17<- -6094.322084167633
18<-2 -4540.038052405186
2<- -10781.340802192291
20<-7 -4169.334305460649
7<- -9619.564107842156
21<- -5502.126097717528
22<- -7668.045571646864
24<-20 -6584.698568773052
3<- -5991.244259251931
4<-0,11 -6420.766548091254
5<- -5420.315231826692
6<-13,8 -5697.712865219369
8<-1 -6911.055441197542
9<- -7161.429158088183
**********
bnlearn modelstring = 
[0][1|11][11][10][12|10:19][19][13][14|13:23][23][15][16][17][18|2][2][20|7][7][21][22][24|20][3][4|0:11][5][6|13:8][8|1][9]

GOBNILP Run completed at: 2025-05-07 10:35:42.588541
