building-automl-pipelines
Build automated machine learning pipelines with feature engineering, model selection, and hyperparameter tuning. Use when automating ML workflows from data preparation through model deployment. Trigger with phrases like "build automl pipeline", "automate ml workflow", or "create automated trainin...
Full skill instructions
Build an end-to-end AutoML pipeline: data checks, feature preprocessing, model search/tuning, evaluation, and exportable deployment artifacts. Use this when you want repeatable training runs with a clear budget (time/compute) and a structured output (configs, reports, and a runnable pipeline).
Before using this skill, ensure you have:
See {baseDir}/references/implementation.md for detailed implementation guide.
See {baseDir}/references/errors.md for comprehensive error handling.
See {baseDir}/references/examples.md for detailed examples.
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