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Average Ratings 0 Ratings

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features
design
support

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Write a Review

Description

H2O.ai stands at the forefront of open source AI and machine learning, dedicated to making artificial intelligence accessible to all. Our cutting-edge platforms, which are designed for enterprise readiness, support hundreds of thousands of data scientists across more than 20,000 organizations worldwide. By enabling companies in sectors such as finance, insurance, healthcare, telecommunications, retail, pharmaceuticals, and marketing, we are helping to foster a new wave of businesses that harness the power of AI to drive tangible value and innovation in today's marketplace. With our commitment to democratizing technology, we aim to transform how industries operate and thrive.

Description

MLflow is an open-source suite designed to oversee the machine learning lifecycle, encompassing aspects such as experimentation, reproducibility, deployment, and a centralized model registry. The platform features four main components that facilitate various tasks: tracking and querying experiments encompassing code, data, configurations, and outcomes; packaging data science code to ensure reproducibility across multiple platforms; deploying machine learning models across various serving environments; and storing, annotating, discovering, and managing models in a unified repository. Among these, the MLflow Tracking component provides both an API and a user interface for logging essential aspects like parameters, code versions, metrics, and output files generated during the execution of machine learning tasks, enabling later visualization of results. It allows for logging and querying experiments through several interfaces, including Python, REST, R API, and Java API. Furthermore, an MLflow Project is a structured format for organizing data science code, ensuring it can be reused and reproduced easily, with a focus on established conventions. Additionally, the Projects component comes equipped with an API and command-line tools specifically designed for executing these projects effectively. Overall, MLflow streamlines the management of machine learning workflows, making it easier for teams to collaborate and iterate on their models.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Superwise Yes 
Aporia No 
Azure Machine Learning No 
BentoML Yes 
Comet LLM No 
Determined AI No 
Docker No 
FeatureByte Yes 
Flyte No 
Keras No 
LiteLLM No 
MLflow Yes 
Modulos AI Governance Platform No 
TruEra Yes 
UbiOps No 
Union Cloud No 
witboost Yes 

Integrations

Superwise Yes 
Aporia Yes 
Azure Machine Learning Yes 
BentoML No 
Comet LLM Yes 
Determined AI Yes 
Docker Yes 
FeatureByte No 
Flyte Yes 
Keras Yes 
LiteLLM Yes 
MLflow No 
Modulos AI Governance Platform Yes 
TruEra No 
UbiOps Yes 
Union Cloud Yes 
witboost No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

H2O.ai

Founded

2011

Country

United States

Website

www.h2o.ai

Vendor Details

Company Name

MLflow

Founded

2018

Country

United States

Website

mlflow.org

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare Yes 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning Yes 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics Yes 
Process/Workflow Automation Yes 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) Yes 

Data Science

Access Control No 
Advanced Modeling No 
Audit Logs No 
Data Discovery No 
Data Ingestion No 
Data Preparation No 
Data Visualization No 
Model Deployment No 
Reports No 

Deep Learning

Convolutional Neural Networks Yes 
Document Classification Yes 
Image Segmentation No 
ML Algorithm Library Yes 
Model Training Yes 
Neural Network Modeling No 
Self-Learning No 
Visualization Yes 

Machine Learning

Deep Learning Yes 
ML Algorithm Library Yes 
Model Training Yes 
Natural Language Processing (NLP) Yes 
Predictive Modeling Yes 
Statistical / Mathematical Tools Yes 
Templates No 
Visualization Yes 

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Alternatives

Alternatives

Union Cloud Reviews

Union Cloud

Union.ai