LESS is a new supervised learning algorithm that is based on training many local estimators on subsets of a given dataset, and then passing their predictions to a global estimator. The current version supports regression, and we are working on classification. You can find the details about LESS in our manuscript.
The serial version of LESS is given in our main repository. This version of LESS relies on MPI for the parallelization of local models. To use this version, mpi4py is used. To use less-learn-mpi, you need to install an mpi library. We have used openmpi in our testing environments.
pip install less-learn-mpi
In folder example, we also provide a simple script for testing. You can run this script for two threads by typing
mpirun -n 2 python3 less-mpi-example.py
Note that this example requires the package pandas.
Our software can be cited as:
@misc{LESS,
author = "Ilker Birbil",
title = "LESS: LEarning with Subset Stacking",
year = 2021,
url = "https://github.com/sibirbil/LESS/"
}