GOBNILP Run started at: 2025-05-07 09:21:21.195830
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_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
131 family variables declared
380 arrow variables declared
190 adj variables declared
20 constraints insisting on exactly one parent set for each variable
24 set packing constraints declared
100 constraints linking arrows to family variables declared
330 arrow variables removed
25 constraints linking arrows to adjs declared
165 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -134544.19
**********
0<- -6290.927295390455
1<- -7325.83250762298
10<- -7382.67007717077
11<-8 -6873.525519287189
8<- -6627.259441036397
12<- -5350.243513348326
13<-1,18 -7834.7696715456705
18<- -5891.971838879496
14<- -6483.932683477756
15<- -6384.548547215344
16<-14,7,9 -6178.14665539493
7<- -7665.64050365542
9<-13 -7011.412697360408
17<-4 -4799.48335942989
4<- -10185.518763871658
19<- -6513.842563956902
2<- -5716.706085004239
3<- -7119.392637577115
5<-17 -7204.2202488685025
6<- -5704.140773086425
**********
bnlearn modelstring = 
[0][1][10][11|8][8][12][13|18:1][18][14][15][16|14:7:9][7][9|13][17|4][4][19][2][3][5|17][6]

GOBNILP Run completed at: 2025-05-07 09:21:22.710692
