GOBNILP Run started at: 2025-05-07 10:35:49.841526
Command: /home/yryang/miniconda3/bin/python3 /home/yryang/Bayesian_Network/gobnilp_bn/rungobnilp.py /home/yryang/Bayesian_Network/gobnilp_bn/data/Data_25_5000_0.5_7.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
323 family variables declared
600 arrow variables declared
300 adj variables declared
25 constraints insisting on exactly one parent set for each variable
66 set packing constraints declared
152 constraints linking arrows to family variables declared
524 arrow variables removed
40 constraints linking arrows to adjs declared
260 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -163519.27
**********
0<-6 -4581.85812278492
6<-17 -3123.100491069631
1<- -6974.4454345148715
10<- -7658.205162908201
11<- -6197.7727625443695
12<- -7515.622006806875
13<- -5576.260215838653
14<- -6402.177653743446
15<-0,13,6 -8013.7721062697
16<- -6988.549046679478
17<- -12465.550070812293
18<- -5574.074716472906
19<- -5910.0106537993815
2<-3 -5759.507685868891
3<- -7375.45536754277
20<-11 -5404.145285907056
21<- -6021.6878224336015
22<-0,7 -5950.814025272673
7<-9 -6069.992475732763
23<- -7687.196150232187
24<- -6952.438503217201
4<- -6309.548360326676
5<- -6994.815862207787
9<- -5861.61330408902
8<-0,9 -6150.658526860584
**********
bnlearn modelstring = 
[0|6][6|17][1][10][11][12][13][14][15|6:0:13][16][17][18][19][2|3][3][20|11][21][22|7:0][7|9][23][24][4][5][9][8|9:0]

GOBNILP Run completed at: 2025-05-07 10:36:00.053671
