MLflow is a futuristic machine learning platform that helps developers manage the entire machine learning lifecycle in an efficient manner. In addition, it also helps users to proceed with experimentation, deployment, and reproducibility of codes. Currently, MLflow offers four components to individual users. The first component is Tracking, which helps developers with logging parameters, metrics, code versions, and output files while running the machine learning code and result analytics part. The second component is Projects that include a command-line and other API tools facilitating seamless management of projects in progress. This also makes it possible for developers to bring all projects with a single workflow. The third component being Models, which can be used for packaging machine learning models, besides proceeding with deployment in diverse serving environments. Finally, Registry- a centralized model serves as a store for APIs and UI, besides helping out users to proceed with the full life cycle of an MLflow Model. Real-time integration facilities with Kubernetes, Google Cloud, and TensorFlow, enables seamless business management.
Pricing
Platforms Supported
Organization Types Supported
API Support
Modes of Support
Multi Programming Languages
Supports multiple programming languages like Java, PHP, etc.Multi-Platform
Lets the user search content across multiple platforms (domains, web properties etc.) with a single searchMachine Learning
Improves user experience with artificial intelligenceFree Trial
Not available
Pricing Options
Premium Plans ( Quotation Based )
Pricing Plans
MLflow Custom
Features
Disclaimer: The pricing details were last updated on 07/12/2020 from the vendor website and may be different from actual. Please confirm with the vendor website before purchasing.
Learn more about MLflow Pricing.
Managing the Comp...
What is MLflow used for?
Learn more about MLflow features.
Does MLflow provide API?
Yes, MLflow provides API.
Vendor Details
San Francisco, CaliforniaContact Details
Not available
https://mlflow.org/
Social Media Handles
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