H2O (software)
 |
|
| Original author(s) | H2O.ai |
|---|---|
| Developer(s) | H2O.ai |
| Initial release | 2011 |
| Stable release |
Tutte (3.10.2.2) / January 12, 2017
|
| Repository | github |
| Development status | Active |
| Written in | H2O (written in Java, Python, and R) |
| Operating system | Linux, macOS, and Microsoft Windows |
| Platform | Apache Hadoop Distributed File System; Amazon EC2, Google Compute Engine, and Microsoft Azure. |
| Standard(s) | Databricks certified on Spark. |
| Available in | English |
| Type | big data analytics, machine learning, statistical learning theory |
| License | Apache license 2.0 |
| Website | www |
| As of | 1 June 2015 |
H2O is open-source software for big-data analysis. It is produced by the company H2O.ai (formerly 0xdata), which launched in 2011 in Silicon Valley. H2O allows users to fit thousands of potential models as part of discovering patterns in data.
H2O's mathematical core is developed with the leadership of Arno Candel, part of Fortune's 2014 "Big Data All Stars". The firm's scientific advisors are experts on statistical learning theory and mathematical optimization.
The H2O software runs can be called from the statistical package R, Python, and other environments. It is used for exploring and analyzing datasets held in cloud computing systems and in the Apache Hadoop Distributed File System as well as in the conventional operating-systems Linux, macOS, and Microsoft Windows. The H2O software is written in Java, Python, and R. Its graphical-user interface is compatible with four browsers: Chrome, Safari, Firefox, and Internet Explorer.
The H2O project aims to develop an analytical interface for cloud computing, providing users with tools for data analysis.
...
Wikipedia