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Robusta-HMF

jax implementation of robust heteroskedastic matrix factorisation. Robusta like the coffee bean, get it?

Installation

Easiest is from PyPI either with pip

pip install robusta-hmf

or uv (recommended)

uv add robusta-hmf

Or, you can clone and build from source

git clone git@github.com:TomHilder/robusta-hmf.git
cd robusta-hmf
pip install -e .

Usage

TODO

Citation

TODO

Help

TODO

TODOs

  • More interpretable loss, maybe normalised in some sensible way (maybe proper NLL)
  • Type checking with mypy

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Robust Heteroscedastic Matrix Factorisation in JAX

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