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arXiv · 1803.06226

Glyph: Symbolic Regression Tools

Markus Quade·Julien Gout·Markus Abel
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Abstract

We present Glyph - a Python package for genetic programming based symbolic regression. Glyph is designed for usage let by numerical simulations let by real world experiments. For experimentalists, glyph-remote provides a separation of tasks: a ZeroMQ interface splits the genetic programming optimization task from the evaluation of an experimental (or numerical) run. Glyph can be accessed at http://github.com/ambrosys/glyph . Domain experts are be able to employ symbolic regression in their experiments with ease, even if they are not expert programmers. The reuse potential is kept high by a generic interface design. Glyph is available on PyPI and Github.

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Markus Quade, Julien Gout, Markus Abel. 2018-03-13. Glyph: Symbolic Regression Tools. https://arxiv.org/abs/1803.06226

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