GOBNILP Run started at: 2025-05-07 12:15:55.720023
Command: /home/yryang/miniconda3/bin/python3 /home/yryang/Bayesian_Network/gobnilp_bn/rungobnilp.py /home/yryang/Bayesian_Network/gobnilp_bn/data/Data_25_20000_0.5_3.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
43 family variables declared
600 arrow variables declared
300 adj variables declared
25 constraints insisting on exactly one parent set for each variable
2 set packing constraints declared
28 constraints linking arrows to family variables declared
586 arrow variables removed
7 constraints linking arrows to adjs declared
293 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -661640.33
**********
0<- -24014.491671410575
1<- -24952.509633270827
10<-8 -30268.945713424295
8<- -25845.91965666586
11<-14,21 -31465.136374989284
14<-9 -13902.324280305433
21<- -27013.08337181273
12<- -26722.87853817102
13<- -25684.25437890929
9<- -37317.15411882781
15<- -30699.718031396067
16<- -22665.258054184385
17<- -23473.517067442393
18<- -23006.503795756118
19<- -23061.469679870628
2<- -22254.8311937705
20<- -26352.01018080233
22<- -30162.518337989488
23<- -29543.981627332505
24<- -23384.387922374186
3<- -29884.858826492324
4<- -27542.590725086546
5<- -29596.593620038482
6<- -31130.566444309025
7<- -21694.823060935643
**********
bnlearn modelstring = 
[0][1][10|8][8][11|14:21][14|9][21][12][13][9][15][16][17][18][19][2][20][22][23][24][3][4][5][6][7]

GOBNILP Run completed at: 2025-05-07 12:15:57.342959
