标题： 符号回归工具 显示英文标题

标题： Glyph: Symbolic Regression Tools

摘要： 我们介绍 Glyph - 一个基于遗传编程的符号回归的 Python 包。 Glyph 是为数值模拟和实际实验使用而设计的。 对于实验人员，glyph-remote 提供了任务分离：ZeroMQ 接口将遗传编程优化任务与实验（或数值）运行的评估分开。 Glyph 可以在 http://github.com/ambrosys/glyph 访问。 领域专家可以轻松地在其实验中使用符号回归，即使他们不是专业的程序员。 通过通用接口设计保持了高重用性。 Glyph 在 PyPI 和 Github 上均可获得。 显示英文摘要

摘要： 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.