GOBNILP Run started at: 2025-05-07 09:21:30.005191
Command: /home/yryang/miniconda3/bin/python3 /home/yryang/Bayesian_Network/gobnilp_bn/rungobnilp.py /home/yryang/Bayesian_Network/gobnilp_bn/data/Data_20_5000_0.5_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
355 family variables declared
380 arrow variables declared
190 adj variables declared
20 constraints insisting on exactly one parent set for each variable
73 set packing constraints declared
166 constraints linking arrows to family variables declared
297 arrow variables removed
43 constraints linking arrows to adjs declared
147 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -132878.12
**********
0<-5 -6192.743581233621
5<- -7880.98057706888
1<- -8338.962516547415
10<- -9475.868699388911
11<-5 -5486.016870577023
12<-19,5 -5687.763667230801
19<-10 -3748.5874278201654
13<- -7865.77306975315
14<-18,2 -6033.28227958009
18<- -6737.987871175114
2<- -5588.623118717248
15<- -5529.054075176646
16<- -6157.868011288655
17<-1 -5400.451610204654
3<-12,15 -6223.908000416274
4<-12 -6815.36484743977
6<- -6653.36386104953
7<- -7849.450346015121
8<- -7734.169110017238
9<- -7477.8980767213025
**********
bnlearn modelstring = 
[0|5][5][1][10][11|5][12|5:19][19|10][13][14|18:2][18][2][15][16][17|1][3|15:12][4|12][6][7][8][9]

GOBNILP Run completed at: 2025-05-07 09:21:36.310367
