aik7/Boosting

Boosting algorithm for classification and regression using rectangular maximum agreement problem

C++

Issues

Error after end of build
#30 opened 4 years ago
0
PEBBL's termination criteria are not met in parrallel boosting
#29 opened 4 years ago
4
Check the model file is correct
#27 opened 4 years ago
0
If you run REPR on YACHT for 6 iterations, you randomly get somewhat different answers from ERMA on the last iteration
#26 opened 4 years ago
0
Push dockerfiles to run the Boosting code for both Ubuntu 18.04 and 20.04 environments
#25 opened 4 years ago
0
Both RMA and Boosting has a run time error on Ubuntu 20.04
#24 opened 4 years ago
1
If you have your own Gurobi already and enable it, the build procedure still downloads and compiles CLP
#23 opened 4 years ago
1
Instructions for option 2 to build with Gurobi seem wrong -- this would not build any externals, right?
#22 opened 4 years ago
0
Push python scripts to generate plots for errors and predictions
#20 opened 4 years ago
0
Make unit tests
#19 opened 4 years ago
0
Set prediction and error calculation inside the REPR class
#15 opened 4 years ago
0
Use MPI_Bcast instead of MPI_Send and MPI_Recv
#14 opened 4 years ago
0
All observations are covered after 3rd iteration for servo data
#13 opened 4 years ago
1
Exact RMA solutions should be always greater than equal to their Greedy RMA solutions
#12 opened 4 years ago
2
Dual variables are negative in CLP
#11 opened 4 years ago
0
Parallel boosting never terminates
#10 opened 4 years ago
1
pebbl library problem
#9 opened 4 years ago
1
Save all generated rules and weights for the regressions
#8 opened 4 years ago
0
Check the saved weights are correct
#7 opened 4 years ago
0
Some arguments are not working correctly
#6 opened 4 years ago
0
Exception during training with --iterations=x
#5 opened 4 years ago
1
REPR MPI issue
#3 opened 4 years ago
3
Need to fix LPBR with CLP
#2 opened 4 years ago
0
linking issue
#1 opened 4 years ago
1