menuBL
MenuBL is a software framework designed to streamline machine learning experimentation through a menu-driven interface. The name reflects its core interaction model, guiding users through steps such as data selection, model choice, preprocessing, and evaluation without requiring extensive scripting. By emphasizing guided configuration, menuBL aims to make experimentation more approachable while preserving flexibility for advanced users.
The architecture of menuBL centers on modularity and extensibility. It provides a command-line interface and, in
Core features include templates for common tasks (classification, regression, clustering), support for multiple backends through adapters
Typical use cases involve rapid prototyping and evaluation in research settings or classroom environments. By removing
MenuBL is an open-source project maintained by a community of contributors, with ongoing updates and documentation