Mlflow
원문: mlflow
Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-agnostic ML lifecycle platform
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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) Reproduce experiments with project configurations Compare model versions and performance metrics Collaborate on ML projects with team workflows Integrate with any ML framework (framework agnostic) Users : 20,000+ organizations | GitHub Stars : 23k+ | License : Apache 2.0 Installation Quick Start Basic Tracking Autologging (Automatic Tracking) Core Concepts 1. Experiments and Runs Experiment : Logical container for related r…
실행 시 본인 API 키(BYOK)로 동작하며, 모델 비용은 사용자 계정에서 직접 결제됩니다.