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H2O AutoML

Rating:

4.6 / 5.0

Tags

AutoML, Machine Learning, Data Science, Open Source, AI Platform

Categories:
Machine learning and neural networks
Creator H2O.ai
Date 2017-01-01
Platforms Python, R, Java, Cloud
Status Active
Website docs.h2o.ai
Price Model Free / Subscription
Sections:
Automated ML (AutoML)ML Platforms

Pricing Details

The open-source H2O-3 library with AutoML is free. H2O.ai's enterprise products (e.g., H2O AI Cloud) with advanced AutoML capabilities are offered via subscription.

Features

Automated model training, algorithm selection, hyperparameter tuning, ensembling, data preprocessing, model leaderboard, support for various ML tasks (classification, regression).

Integrations

Used as a library in Python, R, Java. Integrates with data tools and model deployment platforms.

Preview

H2O AutoML (Automated Machine Learning) is a feature within the H2O.ai platform that automates the process of building machine learning models. It enables users with varying levels of expertise to quickly and effectively create high-performing ML models. AutoML automatically performs tasks such as data preprocessing, algorithm selection, hyperparameter tuning, and model ensembling. The goal of AutoML is to speed up the experimentation process and find the best model for a given dataset without the need for manual iteration through many options. H2O AutoML is available both as an open-source library and as part of H2O.ai's enterprise products.