prosemble 2.3.0

A python project for prototype-based machine learning models

Prosemble

Description

This is a JAX-based Python toolbox for research and application of prototype-based machine learning methods and other interpretable models. All models are JIT-compiled and run on CPU, GPU and TPU. The focus of Prosemble is ease-of-use, extensibility and speed.

Installation

Prosemble can be installed using pip:

pip install prosemble

To install with JAX support:

pip install "prosemble[jax]"         # CPU
pip install "prosemble[jax-cuda12]"  # GPU (CUDA 12)

To install the development version:

git clone https://github.com/naotoo1/prosemble.git
cd prosemble
pip install -e ".[all]"

Documentation

The full documentation is available at prosemble.readthedocs.io.

To build locally:

cd sphinx-docs && make html

Examples

See the examples/ directory.

Development

Prosemble provides a reproducible development environment using devenv:

git clone https://github.com/naotoo1/prosemble.git
cd prosemble
devenv shell
uv sync --extra jax --extra dev
uv run pytest tests/ -x -q

Citation

@misc{Otoo_Prosemble_2022,
  author       = {Otoo, Nana Abeka},
  title        = {Prosemble},
  year         = {2022},
  publisher    = {GitHub},
  journal      = {GitHub repository},
  howpublished = {\url{https://github.com/naotoo1/Prosemble}},
}