GOBNILP Run started at: 2025-05-07 09:21:31.913426
Command: /home/yryang/miniconda3/bin/python3 /home/yryang/Bayesian_Network/gobnilp_bn/rungobnilp.py /home/yryang/Bayesian_Network/gobnilp_bn/data/Data_20_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
473 family variables declared
380 arrow variables declared
190 adj variables declared
20 constraints insisting on exactly one parent set for each variable
121 set packing constraints declared
236 constraints linking arrows to family variables declared
262 arrow variables removed
59 constraints linking arrows to adjs declared
131 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -140855.45
**********
0<- -7280.455040645135
1<- -8488.657064210776
10<-15,18 -5415.9202169480095
18<- -7769.788155355572
15<-1 -5946.058204619826
11<-15 -5695.784496257279
12<-11,14 -5574.121534837105
14<- -6691.044749192043
13<- -10924.475154860145
16<- -10509.962970350833
17<- -7335.80280175629
19<-0,12,6 -7545.78718578569
6<- -6686.580918126647
2<-13 -2662.821756145063
3<-13 -7730.65877700707
4<- -7055.118011862129
5<- -7881.275552987368
7<- -7230.941432168154
8<-16 -5093.887828402475
9<-11 -7336.30411667458
**********
bnlearn modelstring = 
[0][1][10|18:15][18][15|1][11|15][12|14:11][14][13][16][17][19|12:6:0][6][2|13][3|13][4][5][7][8|16][9|11]

GOBNILP Run completed at: 2025-05-07 09:21:38.907509
