MLflow
Open platform for tracking experiments and managing model lifecycle.
Visão geral
MLflow tracks experiments, packages models and manages their progression through stages. It solves the handover problem between training a model and running it: the artefact needs to be identified, versioned and retrievable, not just present on somebody's disk. It exists because that handover is where most models are quietly lost, and it does it without requiring a hosted service.
Grafo de tecnologias
Como MLflow se liga ao resto do stack.
Aplicado a
- Fine-tuning technique Techniques MLflow used for Fine-tuning High ✓ source
- Pretraining technique Techniques MLflow used for Pretraining High ✓ source
Ferramentas
Software que implementa ou se integra com MLflow.