H2O-3 is a distributed machine learning platform designed for building predictive models and analysing large datasets. It provides an environment for data scientists and developers to train, evaluate and deploy machine learning models without being restricted to a single computer.
The platform uses distributed, in-memory processing to handle computationally demanding workloads. Data and processing tasks can be shared across multiple nodes, making it suitable for working with datasets that exceed the practical capacity of a single machine.
H2O-3 supports both interactive exploration and automated modelling workflows. Users can experiment with different algorithms, compare their results and select models for use in applications. The platform integrates with established data science environments and can also be accessed through a browser.
This is free and open source software.
Key Features
- Distributed, in-memory processing for scalable machine learning workloads.
- H2O AutoML automates model training, hyperparameter selection and model comparison.
- Classification, regression and unsupervised learning algorithms.
- Gradient Boosting Machines, XGBoost, Random Forests, Generalized Linear Models and Deep Learning.
- K-Means clustering, Principal Component Analysis and anomaly detection.
- Stacked Ensembles combine predictions from multiple models.
- H2O Flow provides an interactive, browser-based environment for exploring data, building models and visualising results.
- Grid search and cross-validation for hyperparameter optimisation and model evaluation.
- Client interfaces for Python, R, Scala and Java, together with a REST API.
- Integration with Hadoop, Spark and distributed data storage systems.
- Export trained models in POJO and MOJO formats for predictive scoring outside the training environment.
- Import, transform and inspect datasets using distributed data frames.
- Cross-platform support – runs on Linux, macOS, and Windows.
Website: github.com/h2oai/h2o-3
Support:
Developer: H2O.ai
License: Apache License 2.0
H2O-3 is written in Java. Learn Java with our recommended free books and free tutorials.
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Read our verdict in the software roundup.
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