MLflow
MLflow is an open source platform for managing the Machine Learning lifecycle from start to finish. Let's learn more about it.
Tool
MLFlow
What is MLflow?
MLflow is an open source platform for managing the Machine Learning lifecycle from start to finish.
What does MLflow allows?
MLflow Tracking –
Monitoring experiments to record and compare parameters and results.
MLflow Projects –
Package ML code in a reusable and reproducible way to share with other data scientists or transfer to production.
MLflow Models –
Manage and deploy models from a variety of ML libraries to a variety of model serving and inference platforms.
MLflow Model Registry –
Provide a central model repository to collaboratively manage the entire lifecycle of an MLflow model, including model versioning, stage transitions, and annotations.
Benefits
- Works with any existing ML library, language and code
- Runs the same way in any Cloud
- Designed to scale from one user to a large organization
- Scale to Big Data with Apache Spark
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