hardhat

What problem does it solve?

This Skill standardizes preprocessing workflows for R modeling packages, ensuring consistent handling of formula, XY, and recipe inputs during training and prediction.

Core Features & Use Cases

• Standardized preprocessing with mold() for training data and forge() for prediction data.
• Support for formula, XY, and recipe interfaces with interchangeable blueprints for consistent interfaces.
• Tools for creating model constructors, spruce formatting for outputs, and validation hooks to ensure data integrity.
• Use Case: Develop a modeling package that requires reproducible preprocessing across training and deployment pipelines.

Quick Start

Install and attach the hardhat package, then run a basic mold() workflow to preprocess training data and a subsequent forge() call for new data using a blueprint.