GOBNILP Run started at: 2025-05-07 12:16:24.998449
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_8.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
85 family variables declared
600 arrow variables declared
300 adj variables declared
25 constraints insisting on exactly one parent set for each variable
7 set packing constraints declared
82 constraints linking arrows to family variables declared
559 arrow variables removed
21 constraints linking arrows to adjs declared
279 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -657212.15
**********
0<-14,4 -23802.770564568425
14<- -25194.329374452256
4<-22 -18837.627727207862
1<- -28438.554573861034
10<- -24075.598645470538
11<- -25245.719046039394
12<- -22055.715522364786
13<-11 -24971.430984866147
15<- -27355.853048635465
16<-10 -29558.17131306895
17<-1 -22263.293417578472
18<- -25270.182628100734
19<- -28742.25722624838
2<- -27802.29606478346
20<-11 -24383.62324035115
21<- -29686.20714740475
22<- -30001.93755210826
23<-4 -31885.689206516814
24<- -24441.436307657306
3<-10 -30568.399803754062
5<- -27201.479555367005
6<- -23659.000133361784
7<- -25862.791145450978
8<- -27119.834141414532
9<-5,6 -28787.953021696325
**********
bnlearn modelstring = 
[0|14:4][14][4|22][1][10][11][12][13|11][15][16|10][17|1][18][19][2][20|11][21][22][23|4][24][3|10][5][6][7][8][9|6:5]

GOBNILP Run completed at: 2025-05-07 12:16:26.656480
