GOBNILP Run started at: 2025-05-07 09:21:46.203009
Command: /home/yryang/miniconda3/bin/python3 /home/yryang/Bayesian_Network/gobnilp_bn/rungobnilp.py /home/yryang/Bayesian_Network/gobnilp_bn/data/Data_20_5000_1_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
823 family variables declared
380 arrow variables declared
190 adj variables declared
20 constraints insisting on exactly one parent set for each variable
245 set packing constraints declared
376 constraints linking arrows to family variables declared
192 arrow variables removed
95 constraints linking arrows to adjs declared
95 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -141405.12
**********
0<- -5546.746960059174
1<- -7264.332658405058
10<-13,17,6 -4984.322130124221
17<-13,14,6 -8484.114548266038
13<-19 -8205.270306780638
6<- -6652.525198023244
11<-1 -4971.198382504851
12<- -6624.124900168833
19<- -9302.411128887365
14<- -8002.239098878807
15<-7 -7371.954995049457
7<-2 -3110.3079551601013
16<- -7859.307770734803
18<- -7958.417266763247
2<- -11441.639719779389
3<-10,2,6 -8071.301028473472
4<-13 -4249.181689955441
5<-14,8 -6221.555811096755
8<-11,15 -7422.274958009754
9<- -7661.89304147074
**********
bnlearn modelstring = 
[0][1][10|17:13:6][17|14:13:6][13|19][6][11|1][12][19][14][15|7][7|2][16][18][2][3|2:10:6][4|13][5|14:8][8|15:11][9]

GOBNILP Run completed at: 2025-05-07 09:22:00.711280
