GOBNILP Run started at: 2025-05-07 09:19:09.588315
Command: /home/yryang/miniconda3/bin/python3 /home/yryang/Bayesian_Network/gobnilp_bn/rungobnilp.py /home/yryang/Bayesian_Network/gobnilp_bn/data/Data_15_5000_1.5_9.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
5249 family variables declared
210 arrow variables declared
105 adj variables declared
15 constraints insisting on exactly one parent set for each variable
1302 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 -102528.79
**********
0<-10,3 -3426.4794956843266
10<-3,4,7 -1795.2159947253365
3<-4,7 -7943.665625409148
1<-13,2,4 -8113.058061998037
4<- -13084.786747071605
2<- -6899.578985248333
13<- -7041.16468356786
7<-1,13,2 -6186.82292099422
11<-0,13 -7395.218828551963
12<-4,8,9 -6582.861953550686
8<-1,10,7 -7789.69655836094
9<-10,2,7 -7405.26632196026
14<-11,2 -6354.496492099116
5<-0,1,4 -6181.124039005603
6<-11,3,4 -6329.349721943616
**********
bnlearn modelstring = 
[0|10:3][10|4:7:3][3|4:7][1|4:2:13][4][2][13][7|2:13:1][11|0:13][12|4:8:9][8|7:10:1][9|7:10:2][14|11:2][5|0:4:1][6|4:11:3]

GOBNILP Run completed at: 2025-05-07 09:21:27.108370
