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arXiv Open Access 2022

OMLT: Optimization & Machine Learning Toolkit

Francesco Ceccon Jordan Jalving Joshua Haddad Alexander Thebelt Calvin Tsay +2 lainnya
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Abstrak

The optimization and machine learning toolkit (OMLT) is an open-source software package incorporating neural network and gradient-boosted tree surrogate models, which have been trained using machine learning, into larger optimization problems. We discuss the advances in optimization technology that made OMLT possible and show how OMLT seamlessly integrates with the algebraic modeling language Pyomo. We demonstrate how to use OMLT for solving decision-making problems in both computer science and engineering.

Topik & Kata Kunci

stat.ML cs.AI cs.LG math.OC

Penulis (7)

F

Francesco Ceccon

J

Jordan Jalving

J

Joshua Haddad

A

Alexander Thebelt

C

Calvin Tsay

C

Carl D. Laird

R

Ruth Misener

Format Sitasi

APA MLA BibTeX
Ceccon, F., Jalving, J., Haddad, J., Thebelt, A., Tsay, C., Laird, C.D. et al. (2022). OMLT: Optimization & Machine Learning Toolkit. https://arxiv.org/abs/2202.02414

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Informasi Jurnal
Tahun Terbit
2022
Bahasa
en
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arXiv
Akses
Open Access ✓