![]() ![]() ![]() This interface is similar to IPython notebooks, and allows you to create a visual workflow to share with others. Getting Started with Flow: This document describes our new intuitive web interface, Flow. Tutorials: To see a step-by-step example of our algorithms in action, select a model type from the following list: The following video provides step-by-step instructions on how to install and run H2O: Make sure to install Java if it is not already installed. įor first-time users, we recommend downloading the latest alpha release and the default standalone option (the first tab) as the installation method. Spark v 1.3 or later (Spark is not required unless you want to run Sparkling Water)ĭownloads page: First things first - download a copy of H2O here by selecting a build under “Download H2O” (the “Bleeding Edge” build contains the latest changes, while the latest alpha release represents a more stable build), then use the installation instruction tabs to install H2O on your client of choice ( standalone, R, Python, Hadoop, or Maven).Hadoop: Cloudera CDH 4 or later (5.3 is recommended) MapR v.3.0 or later Hortonworks HDP 2.1 or later (Hadoop is not required to run H2O unless you want to deploy H2O on a Hadoop cluster).Browsers: Latest version of Chrome, Firefox, Safari, or Internet Explorer (An internet browser is required to use H2O’s web UI, Flow).Languages: Java 7 or later Scala v 2.10 or later R v.3 or later Python 2.7.x or later (Scala, R, and Python are not required to use H2O unless you want to use H2O in those environments, but Java is always required).Operating Systems: Windows 7 or later OS X 10.9 or later, Ubuntu 12.04, or RHEL/CentOS 6 or later.Recommended Systems: This one-page PDF provides a basic overview of the operating systems, languages and APIs, Hadoop resource manager versions, cloud computing environments, browsers, and other resources recommended to run H2O.Īt a minimum, we recommend the following for compatibility with H2O: If you’re just getting started with H2O, here are some links to help you learn more: We welcome your feedback! Please let us know if you have any questions or comments about this site by emailing us at Users You don’t need to request or leave a message to join - you should be added to the group automatically. On the h2ostream page, click the Join group button, then click the New Topic button to post a new message. Note: To join our Google group on h2ostream, you need a Google account (such as Gmail or Google+). We’re glad you’re interested in learning more about H2O - if you have any questions, please email them to or post them on our Google groups website, h2ostream. Welcome to the H2O documentation site! Depending on your area of interest, select a learning path from the links above. - Python Parity: This document is is a list of Python capabilities that were previously available only through the H2O R interface but are now available in H2O using the Python interface.init paper.js and add mandatory canvasĬanvas = document.createElement('canvas') ĬtAttribute('style', 'display:none') Let pathTmp = document.createElementNS("", 'path') Let className = el.getAttribute('class') Let els = svg.querySelectorAll('rect, circle, polygon') "path, polygon, rect, circle, line, text, g" Var svg = document.querySelector("#svgSubtract") ![]()
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