https://github.com/sandyspiers/optitester.jl

A semi-automated toolkit to run large-scale, distributed numerical experiments on your optimisation functions
https://github.com/sandyspiers/optitester.jl

julia optimisation

Last synced: about 2 months ago
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A semi-automated toolkit to run large-scale, distributed numerical experiments on your optimisation functions

• Host: GitHub
• URL: https://github.com/sandyspiers/optitester.jl
• Owner: sandyspiers
• License: mit
• Created: 2024-08-07T12:14:44.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-09-19T01:33:24.000Z (4 months ago)
• Last Synced: 2024-10-13T22:25:09.679Z (3 months ago)
• Topics: julia, optimisation
• Language: Julia
• Homepage:
• Size: 59.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# OptiTester.jl

[![Build Status](https://github.com/sandyspiers/OptiTester.jl/actions/workflows/CI.yml/badge.svg?branch=main)](https://github.com/sandyspiers/OptiTester.jl/actions/workflows/CI.yml?query=branch%3Amain)

[![Coverage](https://codecov.io/gh/sandyspiers/OptiTester.jl/branch/main/graph/badge.svg)](https://codecov.io/gh/sandyspiers/OptiTester.jl)

[![Code Style: Blue](https://img.shields.io/badge/code%20style-blue-4495d1.svg)](https://github.com/invenia/BlueStyle)

A semi-automated toolkit to run large-scale, distributed numerical experiments on your optimisation functions and to analyse the results.

Includes several experiment-level helper functions, settings and setups used to run your tests.

Experiments can be defined using an easy to read and reuse format.

This allows experiments to be easily run in your Julia REPL, or run as a script on a server.

The results are saved in a standardized format, and several analysis tools such as performance profiles are included.

Style guides can be provided to produce semi-automated performance metrics with a standard formatting (such as consistent colouring and labelling).

## Usage

For more detailed examples, see [here](docs/examples.md)