GOBNILP Run started at: 2025-05-07 09:19:09.794458
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_0.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
2131 family variables declared
210 arrow variables declared
105 adj variables declared
15 constraints insisting on exactly one parent set for each variable
625 set packing constraints declared
412 constraints linking arrows to family variables declared
4 arrow variables removed
103 constraints linking arrows to adjs declared
2 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -103073.04
**********
0<-14,6,8 -10120.136427886651
6<- -6352.050122104401
8<-9 -2807.26898843855
14<- -6400.317451813714
1<-11,13,7 -5058.479127437635
11<-10,13,7 -9504.843839326119
13<-0,14,8 -4316.843271298383
7<-4,6,8 -7386.128703716242
10<- -6611.271746947601
12<-0,6 -6912.8601349034225
2<- -12555.346277706887
3<-13,2,6 -7833.556934652332
4<-13,2,3 -5497.602216298246
5<-10 -7237.890102342097
9<-2 -4478.447896816247
**********
bnlearn modelstring = 
[0|6:8:14][6][8|9][14][1|11:13:7][11|13:10:7][13|8:0:14][7|8:6:4][10][12|0:6][2][3|2:13:6][4|2:13:3][5|10][9|2]

GOBNILP Run completed at: 2025-05-07 09:19:32.780740
