GOBNILP Run started at: 2025-05-07 09:20:18.217125
Command: /home/yryang/miniconda3/bin/python3 /home/yryang/Bayesian_Network/gobnilp_bn/rungobnilp.py /home/yryang/Bayesian_Network/gobnilp_bn/data/Data_15_20000_1.5_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
4152 family variables declared
210 arrow variables declared
105 adj variables declared
15 constraints insisting on exactly one parent set for each variable
1093 set packing constraints declared
420 constraints linking arrows to family variables declared
0 arrow variables removed
105 constraints linking arrows to adjs declared
0 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -412413.15
**********
0<-11,7,9 -37725.4215426074
9<- -56212.636161764225
11<- -25608.805593932146
7<- -33140.900057305495
1<-7 -25006.67607085172
10<-2,5,9 -11895.419786267264
5<-3,7,9 -12944.841768160104
2<-3,4,9 -10334.369816536744
12<-14,4 -25110.708905105108
14<-2,4,6 -12840.708750108248
4<-0,13,5 -21929.177211283175
13<-0,3,7 -31016.909804090472
3<-0,11,9 -48377.478383797665
6<-4,5,7 -35207.493799475145
8<-1,2,5 -25061.59964823121
**********
bnlearn modelstring = 
[0|9:11:7][9][11][7][1|7][10|5:9:2][5|9:7:3][2|9:4:3][12|14:4][14|6:4:2][4|5:0:13][13|0:7:3][3|0:9:11][6|5:7:4][8|1:5:2]

GOBNILP Run completed at: 2025-05-07 09:21:35.611550
