flowengineR 1.0.0

flowengineR 1.0.0

🚀 Initial release

This release introduces the foundational architecture of the flowengineR package, a modular R framework for defining, executing, and evaluating machine learning workflows.

✨ Core features

• Modular pipeline system with interchangeable "engines"
• Support for pre-, in-, and post-processing fairness methods
• Fully configurable via control objects (controller_*)
• Integrated evaluation and reporting structure
• Built-in compatibility with batchtools for adaptive and parallel execution

🧪 Testing & CI

• Full testthat support for internal functions and workflow logic
• GitHub Actions CI enabled (devtools::check)

📚 Documentation

• First vignettes included:
  • Getting started
  • End-to-end example
• Comprehensive README with installation and usage

🔧 Utilities

• Meta-level workflow logic based on control abstraction
• Standardized input/output contracts for engines

This version marks the stable foundation for further extension toward publishing and benchmarking.