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26 April 2024, 12:34:36 UTC
Revision b42ecba448f2f59077731f8fb0d8fc8ea33d8332 authored by dependabot[bot] on 03 April 2024, 21:20:46 UTC, committed by GitHub on 03 April 2024, 21:20:46 UTC 
Bump pillow from 9.4.0 to 10.3.0
 
Bumps [pillow](https://github.com/python-pillow/Pillow) from 9.4.0 to 10.3.0.
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  dependency-type: direct:production
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Tip revision: b42ecba448f2f59077731f8fb0d8fc8ea33d8332 authored by dependabot[bot] on 03 April 2024, 21:20:46 UTC
Bump pillow from 9.4.0 to 10.3.0
Tip revision: b42ecba
README.md 
# Data imputation using Determinantal Point Process (DPP) - based methods

Please contact [Philip Teare](mailto:philip.teare@astrazeneca.com) 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](https://arxiv.org/abs/2303.17893)" paper

## Prerequisites

Python 3.9

## Usage

```python

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](https://choosealicense.com/licenses/mit/)
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