AutoML Pipeline Builder

概要

The AutoML Pipeline Builder skill streamlines complex machine learning workflows within Claude Code by automating the process of building, training, and evaluating models. It enables developers to generate production-ready code for various ML tasks such as classification and regression, incorporating best practices for data validation and error handling. By automatically selecting the best models and optimizing hyperparameters, this skill significantly reduces the manual effort required to transition from raw data to a fully documented and performant ML pipeline.

主な機能

• End-to-end ML pipeline code generation
• Detailed performance metrics and reporting
• Automated model selection and hyperparameter tuning
• Built-in data validation and error handling
• Automated artifact generation and documentation
• 883 GitHub stars

ユースケース

• Building customer churn prediction models
• Developing automated regression pipelines for price forecasting
• Automating complex feature engineering for raw datasets