GOBNILP Run started at: 2025-05-07 09:19:25.600189
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_7.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
3682 family variables declared
210 arrow variables declared
105 adj variables declared
15 constraints insisting on exactly one parent set for each variable
925 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 -99996.13
**********
0<-14,3,8 -8060.87943393607
3<-14,8 -11160.845304120905
8<- -6681.32492602204
14<-8 -10846.702829903063
1<-0,3,8 -5937.05213060666
10<-0,1,14 -2487.274454881119
11<-0,10,2 -7230.951044099233
2<- -6518.121433519287
12<-11,3,9 -5022.389077645106
9<-11,14,3 -8663.794265182927
13<-14,3,5 -6431.89334349903
5<-10,3,8 -2603.531905775997
4<-14,5,6 -7307.463527221555
6<-13 -5310.938957375966
7<-12,5 -5732.9702704003475
**********
bnlearn modelstring = 
[0|3:8:14][3|8:14][8][14|8][1|3:8:0][10|1:14:0][11|10:2:0][2][12|11:3:9][9|11:3:14][13|3:5:14][5|10:8:3][4|5:6:14][6|13][7|5:12]

GOBNILP Run completed at: 2025-05-07 09:20:18.260834
