GOBNILP Run started at: 2025-05-07 09:19:18.130052
Command: /home/yryang/miniconda3/bin/python3 /home/yryang/Bayesian_Network/gobnilp_bn/rungobnilp.py /home/yryang/Bayesian_Network/gobnilp_bn/data/Data_15_5000_2_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
5283 family variables declared
210 arrow variables declared
105 adj variables declared
15 constraints insisting on exactly one parent set for each variable
1298 set packing constraints declared
420 constraints linking arrows to family variables declared
0 arrow variables removed
105 constraints linking arrows to adjs declared
0 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -102934.84
**********
0<-2,3,9 -8555.224913525983
3<-13,2,7 -11692.153599487452
9<-13,3,7 -6936.818666149897
2<- -5589.4315158111585
1<- -7505.908365459457
10<-2,5,9 -2354.202347862347
5<-2,4,7 -2584.1480699722288
11<-0,12,3 -6141.818697550812
12<-14,4,9 -7678.0936530523195
4<-14,2,7 -8340.731133063227
14<- -10170.214056518684
13<-2,4,6 -5988.36127282023
6<-14,2 -7610.775609819789
7<-1 -6142.577457351762
8<-1,2,5 -5644.381522826219
**********
bnlearn modelstring = 
[0|3:9:2][3|13:7:2][9|3:13:7][2][1][10|5:9:2][5|4:7:2][11|3:0:12][12|4:9:14][4|7:2:14][14][13|4:2:6][6|2:14][7|1][8|5:1:2]

GOBNILP Run completed at: 2025-05-07 09:25:31.863490
