This is a reconfigured open-source software product where additional service charges apply for technical support and maintenance.
H2O is installed using Python and is a well-known open-source platform recognized for its in-memory, distributed, fast, and scalable capabilities in machine learning and predictive analytics. It facilitates building machine learning models on extensive datasets. H2O’s core code is written in Java. It utilizes a Distributed Key/Value store for efficient data and model referencing across nodes and machines. The algorithms within H2O are built on its distributed Map/Reduce framework, utilizing the Java Fork/Join framework for effective multi-threading.
In summary, H2O simplifies and expedites the process of creating, training, and deploying machine learning models. It’s optimized for handling large-scale data, emphasizing efficient parallel processing, and offers a comprehensive range of algorithms and features tailored for data scientists and analysts.
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