SBOAtools
0.1.1Secretary Bird Optimization for Continuous Optimization and Neural Network Training
Overview
Provides an implementation of Secretary Bird Optimization for general-purpose continuous optimization, benchmark optimization, and training single-hidden-layer feed-forward neural network models. The implemented optimizer is based on the Secretary Bird Optimization Algorithm proposed by Fu et al. (2024) doi:10.1007/s10462-024-10729-y. The neural network training functionality is based on Dilber and Özdemir (2026) doi:10.1007/s00521-026-11874-x.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-05-0613 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-04-113 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 9%
Downloads
Repository
Repository practices
2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/burakdilber/sboatools on 2026-08-09.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- 0.1.1Latest
- RR 4.6.0 released · 2026-04-24
- 0.1.02026-04-10
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-04-10
- Total releases
- 2 / 1 yrs
- License
- MIT + file LICENSE OSI
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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