GOBNILP Run started at: 2025-05-07 09:33:38.781837
Command: /home/yryang/miniconda3/bin/python3 /home/yryang/Bayesian_Network/gobnilp_bn/rungobnilp.py /home/yryang/Bayesian_Network/gobnilp_bn/data/Data_20_20000_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
477 family variables declared
380 arrow variables declared
190 adj variables declared
20 constraints insisting on exactly one parent set for each variable
120 set packing constraints declared
244 constraints linking arrows to family variables declared
258 arrow variables removed
62 constraints linking arrows to adjs declared
128 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -522919.83
**********
0<-16 -29501.283815743864
16<-8 -26607.823569151537
1<-15 -30996.917976052166
15<-11 -9707.243738598905
10<-15,18 -25286.558783301
18<- -25597.100514196238
11<-9 -8173.717121522731
9<- -51967.99718618109
12<-11,14 -22168.225662480938
14<- -26388.664020414475
13<- -32662.124627178673
8<- -24230.340421733497
17<- -30282.57713141213
19<-0,12,6 -29019.519019093517
6<- -27383.779650518034
2<-13 -20847.32932178067
3<-13 -23594.64396052732
4<- -27475.537529733167
5<- -26470.839273339163
7<- -24557.601839782285
**********
bnlearn modelstring = 
[0|16][16|8][1|15][15|11][10|15:18][18][11|9][9][12|14:11][14][13][8][17][19|12:6:0][6][2|13][3|13][4][5][7]

GOBNILP Run completed at: 2025-05-07 09:33:45.333798
