Project Summary
Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, GBM, GLM...)
H2O scales statistics, machine learning, and math over Big Data.
H2O uses familiar interfaces like R, Python, Scala, the Flow notebook graphical interface, Excel, & JSON so that Big Data enthusiasts & experts can explore, munge, model, and score datasets using a range of algorithms including advanced ones like Deep Learning. H2O is extensible so that developers can add data transformations and model algorithms of their choice and access them through all of those clients.
Data collection is easy. Decision making is hard. H2O makes it fast and easy to derive insights from your data through faster and better predictive modeling. H2O allows online scoring and modeling in a single platform.
In a Nutshell, h2o-ml...
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has a well established, mature codebase
maintained by a very large development team
with decreasing Y-O-Y commits -
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took an estimated 166 years of effort (COCOMO model)
starting with its first commit in March, 2014
ending with its most recent commit 2 days ago
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Did You Know...
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nearly 1 in 3 companies have no process for identifying, tracking, or remediating known open source vulnerabilities
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data presented on the Open Hub is available through our API
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65% of companies leverage OSS to speed application development in 2016
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