GOBNILP Run started at: 2025-05-07 10:35:42.589280
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_6.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
512 family variables declared
600 arrow variables declared
300 adj variables declared
25 constraints insisting on exactly one parent set for each variable
133 set packing constraints declared
240 constraints linking arrows to family variables declared
480 arrow variables removed
62 constraints linking arrows to adjs declared
238 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -171922.09
**********
0<- -6941.5343275018995
1<-0,4 -7619.866158755761
4<-16 -3776.6084282629663
10<- -5845.745987053025
11<- -7790.848648379695
12<-2 -5569.987317932272
2<-17 -3940.20002754671
13<- -7214.788596260598
14<-1 -7481.677565991208
15<- -8948.728493045062
16<- -9973.51452485746
17<- -11012.48096002284
18<- -8889.789723080889
19<-18 -3995.424117158441
20<-0 -7842.895009439116
21<- -6104.293588136783
22<- -7722.921015284112
23<-1,17,6 -6795.317889275337
6<- -7300.355452143088
24<- -5735.226535501813
3<- -10955.061292366063
5<-3 -2899.1516176019077
7<- -6680.024118473834
8<-15 -4117.835226681725
9<- -6767.816518429102
**********
bnlearn modelstring = 
[0][1|0:4][4|16][10][11][12|2][2|17][13][14|1][15][16][17][18][19|18][20|0][21][22][23|1:17:6][6][24][3][5|3][7][8|15][9]

GOBNILP Run completed at: 2025-05-07 10:35:49.840808
