Provides a unified R6-based interface for various machine learning models with automatic interface detection, consistent cross-validation, model interpretability via numerical derivatives, and visualization. Supports both regression and classification tasks with any model function that follows R's standard modeling conventions (formula or matrix interface).

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Author

T. Moudiki

Maintainer

T. Moudiki <thierry.moudiki@gmail.com>