Data imputation using Determinantal Point Process (DPP) - based methods

Please contact Philip Teare with any questions about this repo.

This work presents an implementation of the models presented in the "Improved clinical data imputation via classical and quantum determinantal point processes" paper

Prerequisites

Python 3.9

Usage

from models.imputers import DPPMissForest

ddpp_mf = DPPMissForest(batch_size=100, max_iter=5, n_estimators=10)

X_imputed = ddpp_mf.fit_transform(X_missing)

License

MIT