Welcome to Ensemble Integration’s documentation!
Ensemble Integration (eipy) leverages multi-modal data to build classifiers using a late fusion approach. In eipy, base predictors are trained on each modality before being ensembled at the late stage.
This implementation of eipy can utilize sklearn-like models only, therefore, for unstructured data, e.g. images, it is recommended to perform feature selection prior to using eipy. We hope to allow for a wider range of base predictors, i.e. deep learning methods, in future releases.
For more details see the original publication.