GOBNILP Run started at: 2025-05-07 12:16:14.095226
Command: /home/yryang/miniconda3/bin/python3 /home/yryang/Bayesian_Network/gobnilp_bn/rungobnilp.py /home/yryang/Bayesian_Network/gobnilp_bn/data/Data_25_20000_0.5_6.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
496 family variables declared
600 arrow variables declared
300 adj variables declared
25 constraints insisting on exactly one parent set for each variable
126 set packing constraints declared
240 constraints linking arrows to family variables declared
480 arrow variables removed
62 constraints linking arrows to adjs declared
238 adjacency variables removed
(Lazy) "cluster" constraints in use
**********
BN has score -678544.52
**********
0<-20 -16822.981580407457
20<- -38637.00709464603
1<-0,4 -26307.466465778947
4<-16 -26320.722145190648
10<- -25383.226425201756
11<- -30431.962350032438
12<- -37903.439336678166
13<- -23867.87998536499
14<-1 -22359.77862310556
15<-8 -30078.299313022784
8<- -29178.618991881027
16<- -33495.86174811855
17<-2 -24010.582745040283
2<-12 -20893.630848858822
18<-19 -25125.816176881075
19<- -27619.10928810585
21<- -31410.65081163345
22<- -29869.06651716553
23<-1,17,6 -24214.33157760559
6<- -22895.28408440917
24<- -28837.382112268067
3<-5 -27915.56660435425
5<- -30948.598088586077
7<- -22665.87035007346
9<- -21351.38199685955
**********
bnlearn modelstring = 
[0|20][20][1|0:4][4|16][10][11][12][13][14|1][15|8][8][16][17|2][2|12][18|19][19][21][22][23|6:1:17][6][24][3|5][5][7][9]

GOBNILP Run completed at: 2025-05-07 12:16:19.559862
