GOBNILP Run started at: 2025-05-07 09:35:42.945994
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_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
3567 family variables declared
380 arrow variables declared
190 adj variables declared
20 constraints insisting on exactly one parent set for each variable
989 set packing constraints declared
480 constraints linking arrows to family variables declared
140 arrow variables removed
120 constraints linking arrows to adjs declared
70 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -530842.74
**********
0<- -30558.0324451211
1<-11 -30761.75889446759
11<-12,17 -25246.430450176653
10<- -29196.27167396855
17<-0,19 -22407.8040147403
12<- -25004.622913856132
13<- -22194.545013555657
14<- -51394.36320516536
15<-12,17 -23807.53808922883
16<-10,19 -28212.204183171452
19<- -25735.44717436027
18<- -25891.768089784153
2<-11 -25132.007582037662
3<- -30670.83937576984
4<-19,6 -27007.989825125027
6<-5 -10457.309911403261
5<-14 -15058.017222022
7<-10,2,4 -30179.342015987488
8<- -23698.004318169733
9<-17,6 -28228.44450094422
**********
bnlearn modelstring = 
[0][1|11][11|17:12][10][17|0:19][12][13][14][15|17:12][16|10:19][19][18][2|11][3][4|19:6][6|5][5|14][7|4:10:2][8][9|6:17]

GOBNILP Run completed at: 2025-05-07 09:39:41.609866
