GOBNILP Run started at: 2025-05-07 10:32:30.254756
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_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
91 family variables declared
600 arrow variables declared
300 adj variables declared
25 constraints insisting on exactly one parent set for each variable
10 set packing constraints declared
92 constraints linking arrows to family variables declared
554 arrow variables removed
23 constraints linking arrows to adjs declared
277 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -174396.32
**********
0<- -7600.244564191523
1<- -6197.546143190673
10<-16,24 -7712.29163924234
16<- -5948.4381668109445
24<- -5380.36601545478
11<- -6527.263655050979
12<- -5747.187397469528
13<- -7211.686000604774
14<- -7846.024113286886
15<- -7070.066532301771
17<-18 -4194.105024891766
18<- -9330.074376298053
19<-4 -5921.823437472233
4<- -9198.193872651003
2<-6 -6455.136923479966
6<-20 -3928.6342427226946
20<- -11539.219288900329
21<-0,1,17 -7297.312077166853
22<- -7433.287576174562
23<-19 -7050.153621540973
3<-9 -7598.83343219618
9<- -7942.934242925455
5<- -7775.072865293891
7<-22 -7216.801078472732
8<-9 -4273.625600030627
**********
bnlearn modelstring = 
[0][1][10|16:24][16][24][11][12][13][14][15][17|18][18][19|4][4][2|6][6|20][20][21|17:1:0][22][23|19][3|9][9][5][7|22][8|9]

GOBNILP Run completed at: 2025-05-07 10:32:31.931765
