Related Products
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About
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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About
We help developers solve the world’s most important problems by unlocking the value from sensitive data, without increasing risk. That's why we're building tools for privacy-safe machine learning and analytics for the distributed future of data. Data of all types are being generated and stored in the cloud, on prem, and increasingly at the edge. The cost of de-identifying, moving, centrally storing, and managing high volumes of data can be prohibitive. HIPAA, GDPR, PIPEDA, CCPA and other regulations limit the ways data can come together, especially across jurisdictions. With federated learning and analytics, only model parameters leave each private server, so data custodians retain full control of their data. Grow your business with existing customers by building valuable new product features that harness the collective intelligence of your customers' data.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Companies looking for an open source platform solution for the machine learning lifecycle
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Audience
Organizations privacy-safe machine learning and analytics platform for the distributed future of data
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationMLflow
Founded: 2018
United States
mlflow.org
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Company Informationintegrate.ai
Founded: 2017
Canada
www.integrate.ai/
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Alternatives |
Alternatives |
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Categories |
Categories |
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Artificial Intelligence Features
Chatbot
For eCommerce
For Healthcare
For Sales
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
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Integrations
Aporia
Azure Machine Learning
Azure Marketplace
Comet LLM
Cranium
Dagster
H2O.ai
Keras
Kubernetes
LLaMA-Factory
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Integrations
Aporia
Azure Machine Learning
Azure Marketplace
Comet LLM
Cranium
Dagster
H2O.ai
Keras
Kubernetes
LLaMA-Factory
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