Audience
Companies looking for an open source platform solution for the machine learning lifecycle
About MLflow
MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry. MLflow currently offers four components. Record and query experiments: code, data, config, and results. Package data science code in a format to reproduce runs on any platform. Deploy machine learning models in diverse serving environments. Store, annotate, discover, and manage models in a central repository. The MLflow Tracking component is an API and UI for logging parameters, code versions, metrics, and output files when running your machine learning code and for later visualizing the results. MLflow Tracking lets you log and query experiments using Python, REST, R API, and Java API APIs. An MLflow Project is a format for packaging data science code in a reusable and reproducible way, based primarily on conventions. In addition, the Projects component includes an API and command-line tools for running projects.
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Company Information
MLflow
Founded: 2018
United States
mlflow.org
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Product Details
Platforms Supported
Cloud
Training
Documentation
Support
Online
MLflow Frequently Asked Questions
Q: What kinds of users and organization types does MLflow work with?
MLflow works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does MLflow support in their product?
MLflow supports these languages: English.
Q: What kind of support options does MLflow offer?
MLflow offers support via online.
Q: What other applications or services does MLflow integrate with?
MLflow integrates with: Amazon SageMaker, Apache Spark, Aporia, Azure Data Science Virtual Machines, Azure Machine Learning, conDati, Dagster, IBM watsonx.data integration, Databricks, Docker, Google Cloud Platform, H2O.ai, Keras, Kubernetes, lakeFS, navio, neptune.ai, Microsoft 365, RapidSOS, Ray, Superwise, TensorFlow, TrueFoundry, and Vectice and more.
Q: Does MLflow have an API?
Yes, MLflow has an API.
Q: What type of training does MLflow provide?
MLflow provides training in the form of documentation.
