GOBNILP Run started at: 2025-05-07 09:33:37.408577
Command: /home/yryang/miniconda3/bin/python3 /home/yryang/Bayesian_Network/gobnilp_bn/rungobnilp.py /home/yryang/Bayesian_Network/gobnilp_bn/data/Data_20_20000_0.5_5.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
349 family variables declared
380 arrow variables declared
190 adj variables declared
20 constraints insisting on exactly one parent set for each variable
68 set packing constraints declared
164 constraints linking arrows to family variables declared
298 arrow variables removed
42 constraints linking arrows to adjs declared
148 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -544369.0
**********
0<- -46271.70239384313
1<-17 -25581.534041032442
17<- -21665.31855238865
10<-19 -24042.17665677744
19<- -32155.75196001462
11<-5 -26764.828495869137
5<-0 -12499.529400790643
12<-19,5 -29580.54155876615
13<- -30074.654656039027
14<-18,2 -28160.35949734891
18<- -30403.445306184938
2<- -22144.84560752047
15<- -22342.390481640006
16<- -23464.80374621336
3<-12,15 -29089.33901205421
4<-12 -26560.927090036097
6<- -26317.947614615427
7<- -31262.20228341588
8<- -27128.71117116423
9<- -28857.99442381149
**********
bnlearn modelstring = 
[0][1|17][17][10|19][19][11|5][5|0][12|19:5][13][14|18:2][18][2][15][16][3|15:12][4|12][6][7][8][9]

GOBNILP Run completed at: 2025-05-07 09:33:48.663529
