Distributed Learning Example

Here is an example for LightGBM to perform distributed learning for 2 machines.

1. Edit mlist.txt: write the ip of these 2 machines that you want to run application on.

   machine1_ip 12400
   machine2_ip 12400
   

2. Copy this folder and executable file to these 2 machines that you want to run application on.

3. Run command in this folder on both 2 machines:

   "./lightgbm" config=train.conf

This distributed learning example is based on socket. LightGBM also supports distributed learning based on MPI.

For more details about the usage of distributed learning, please refer to this.