GOBNILP Run started at: 2025-05-07 09:20:05.976326
Command: /home/yryang/miniconda3/bin/python3 /home/yryang/Bayesian_Network/gobnilp_bn/rungobnilp.py /home/yryang/Bayesian_Network/gobnilp_bn/data/Data_15_20000_1.5_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
879 family variables declared
210 arrow variables declared
105 adj variables declared
15 constraints insisting on exactly one parent set for each variable
262 set packing constraints declared
250 constraints linking arrows to family variables declared
85 arrow variables removed
65 constraints linking arrows to adjs declared
40 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -407571.39
**********
0<-13,14,8 -32726.78388217155
14<- -23887.539087838722
8<- -31827.359993795366
13<-5 -34345.6526055529
1<- -26564.220565393072
10<- -26874.5180650394
11<-1,13,7 -24970.025185610655
7<-4,6,8 -28543.821381445297
12<-0,6 -24722.761489985765
6<-0,13,8 -14281.548724416227
5<-10 -26024.69491490031
2<-9 -30630.799753378684
9<- -26450.093042705244
3<- -42904.725083979865
4<-3 -12816.843958171385
**********
bnlearn modelstring = 
[0|14:8:13][14][8][13|5][1][10][11|7:1:13][7|6:8:4][12|0:6][6|0:8:13][5|10][2|9][9][3][4|3]

GOBNILP Run completed at: 2025-05-07 09:20:18.318461
