cicyt UNIZAR
Full-text links:

Download:

Current browse context:

cs.MS

Change to browse by:

References & Citations

DBLP - CS Bibliography

Bookmark

(what is this?)
CiteULike logo BibSonomy logo Mendeley logo del.icio.us logo Digg logo Reddit logo ScienceWISE logo

Computer Science > Mathematical Software

Title: Glyph: Symbolic Regression Tools

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 this http URL 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.
Comments: Submitted to JOSR. arXiv admin note: text overlap with arXiv:1612.05276
Subjects: Mathematical Software (cs.MS); Neural and Evolutionary Computing (cs.NE); Optimization and Control (math.OC); Data Analysis, Statistics and Probability (physics.data-an)
Cite as: arXiv:1803.06226 [cs.MS]
  (or arXiv:1803.06226v1 [cs.MS] for this version)

Submission history

From: Markus Quade [view email]
[v1] Tue, 13 Mar 2018 21:57:49 GMT (517kb,D)