eipy is a Python module for developing multi-modal, heterogeneous ensemble classifiers.
A key feature of eipy is its built-in nested cross-validation approach, allowing for a fair comparison of a
collection of user-defined meta algorithms.
Documentation including tutorials are available at https://eipy.readthedocs.io/en/latest/.
Create a virtual environment and install with pip:
pip install ensemble-integration
If you use eipy in a scientific publication please cite the original study.
Full citation:
Jamie J. R. Bennett, Yan Chak Li and Gaurav Pandey. An Open-Source Python Package for Multi-modal Data Integration using Heterogeneous Ensembles, https://doi.org/10.48550/arXiv.2401.09582.
Yan Chak Li, Linhua Wang, Jeffrey N Law, T M Murali, Gaurav Pandey. Integrating multimodal data through interpretable heterogeneous ensembles, Bioinformatics Advances, Volume 2, Issue 1, 2022, vbac065, https://doi.org/10.1093/bioadv/vbac065.