Bespoke Python bindings for the Ensmallen library.

Project description

`pyensmallen`: python bindings for the `ensmallen` library for numerical optimization

Very minimal python bindings for ensmallen library. Currently supports

L-BFGS, with intended use for optimisation of smooth objectives for m-estimation
ADAM (and variants with different step-size routines) - makes use of ensmallen's templatization.
Frank-Wolfe, with intended use for constrained optimization of smooth losses

Installation:

from pypi

pip install pyensmallen

from source

Install armadillo and ensmallen for your system (build from source, or via conda-forge; I went with the latter)
git clone this repository
pip install -e .
Profit? Or at least minimize loss?

from wheel

download the appropriate .whl for your system from the more recent release listed in Releases and run pip install ./pyensmallen... OR
copy the download url and run pip install https://github.com/apoorvalal/pyensmallen/releases/download/<version>/pyensmallen-<version>-<pyversion>-linux_x86_64.whl

Project details

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0.4.5

Mar 19, 2026

0.4.4

Mar 9, 2026

0.4.3

Mar 9, 2026

0.4.2

Mar 9, 2026

0.4.1

Mar 9, 2026

0.3.2

Jul 26, 2025

0.2.9

Jun 30, 2025

0.2.7

May 21, 2025

0.2.6

Mar 24, 2025

0.0.3

Nov 18, 2024

This version

0.0.2

Nov 12, 2024

0.0.1

Nov 11, 2024

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pyensmallen 0.0.2

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pyensmallen: python bindings for the ensmallen library for numerical optimization

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`pyensmallen`: python bindings for the `ensmallen` library for numerical optimization