GOBNILP Run started at: 2025-05-07 09:35:41.403953
Command: /home/yryang/miniconda3/bin/python3 /home/yryang/Bayesian_Network/gobnilp_bn/rungobnilp.py /home/yryang/Bayesian_Network/gobnilp_bn/data/Data_20_20000_1_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
115 family variables declared
380 arrow variables declared
190 adj variables declared
20 constraints insisting on exactly one parent set for each variable
15 set packing constraints declared
108 constraints linking arrows to family variables declared
326 arrow variables removed
27 constraints linking arrows to adjs declared
163 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -533312.8
**********
0<- -23983.097166880907
1<- -21980.52760068653
10<-14 -31065.386784958882
14<- -27143.337353504536
11<- -39438.082260898984
12<-11 -15247.783100985996
13<- -31903.940850747305
15<-8 -29015.77733123623
8<- -39594.70176790497
16<- -24175.830493309295
17<-15 -19844.30453403079
18<-11,6 -26094.6981164034
6<-1,4 -27232.453369186587
19<- -24013.434379610153
2<- -24470.682573848655
3<- -29389.34898971404
4<-1 -26203.64303039037
5<-13 -23467.256546680786
7<- -26581.479827725383
9<-17,2 -22467.03533480961
**********
bnlearn modelstring = 
[0][1][10|14][14][11][12|11][13][15|8][8][16][17|15][18|11:6][6|4:1][19][2][3][4|1][5|13][7][9|2:17]

GOBNILP Run completed at: 2025-05-07 09:35:42.945478
