GOBNILP Run started at: 2025-05-07 09:21:25.830413
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_2.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
488 family variables declared
380 arrow variables declared
190 adj variables declared
20 constraints insisting on exactly one parent set for each variable
153 set packing constraints declared
282 constraints linking arrows to family variables declared
239 arrow variables removed
71 constraints linking arrows to adjs declared
119 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -138066.49
**********
0<-19 -6264.657714798333
19<- -8342.659424729241
1<-14 -4130.697711145277
14<- -9860.644569692293
10<- -6831.897654818458
11<-13 -5176.656940268763
13<- -8003.826401790352
12<- -7805.321496812213
15<-11,17,18 -7265.8382316292755
17<- -6565.604015551725
18<- -7473.326905838013
16<-10,17,7 -6199.798738557069
7<-18 -6005.031683093553
2<- -6334.432509526124
3<-0 -6750.290502707086
4<- -6881.661908361378
5<-9 -5941.607832526765
9<- -6891.05310557605
6<-17,9 -7890.387516645954
8<-16 -7451.092627966052
**********
bnlearn modelstring = 
[0|19][19][1|14][14][10][11|13][13][12][15|11:17:18][17][18][16|10:17:7][7|18][2][3|0][4][5|9][9][6|9:17][8|16]

GOBNILP Run completed at: 2025-05-07 09:21:31.912928
