GOBNILP Run started at: 2025-05-07 09:21:28.475942
Command: /home/yryang/miniconda3/bin/python3 /home/yryang/Bayesian_Network/gobnilp_bn/rungobnilp.py /home/yryang/Bayesian_Network/gobnilp_bn/data/Data_20_5000_0.5_4.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
152 family variables declared
380 arrow variables declared
190 adj variables declared
20 constraints insisting on exactly one parent set for each variable
19 set packing constraints declared
106 constraints linking arrows to family variables declared
327 arrow variables removed
28 constraints linking arrows to adjs declared
162 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -135149.35
**********
0<- -7612.998097101786
1<- -7305.404550117053
10<- -5862.007582633531
11<-12,17 -7076.711617847012
17<-15,16 -2494.2611595518224
12<- -7821.739443733923
13<- -7079.117724728569
14<-5 -6725.336508492778
5<- -8333.983477086746
15<- -9995.648906577926
16<- -6534.498858121654
18<- -6067.577936796932
19<-17 -5455.335653733182
2<- -5613.289846514134
3<- -5756.785837570231
4<-19 -8020.237134889171
6<-5 -6289.310108716102
7<-19,2 -6750.03919215463
8<- -7733.55729552275
9<-17 -6621.510352553556
**********
bnlearn modelstring = 
[0][1][10][11|17:12][17|16:15][12][13][14|5][5][15][16][18][19|17][2][3][4|19][6|5][7|19:2][8][9|17]

GOBNILP Run completed at: 2025-05-07 09:21:30.004503
