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mlflow

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<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT -->
---
name: mlflow
description: MLflow experiment tracking, model registry, and deployment platform. Use when tracking ML experiments, managing model versions, or deploying models.
tags: [mlflow, mlops, experiment-tracking]
---

# MLflow: ML Lifecycle Management Platform

## When to Use This Skill

Use MLflow when you need to:
- **Track ML experiments** with parameters, metrics, and artifacts
- **Manage model registry** with versioning and stage transitions
- **Deploy models** to various platforms (local, cloud, serving)
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