{"id":610,"date":"2018-11-05T18:44:18","date_gmt":"2018-11-05T17:44:18","guid":{"rendered":"https:\/\/www.pschatzmann.ch\/home\/?p=610"},"modified":"2020-11-21T22:22:51","modified_gmt":"2020-11-21T21:22:51","slug":"h2o-sparkling-water-distributed-random-forrest","status":"publish","type":"post","link":"https:\/\/www.pschatzmann.ch\/home\/2018\/11\/05\/h2o-sparkling-water-distributed-random-forrest\/","title":{"rendered":"H2O Sparkling Water &#8211; Distributed Random Forrest"},"content":{"rendered":"<p><a href=\"https:\/\/www.h2o.ai\/\">H2O<\/a> is a machine learning framework which has been implemented in Java and provides an API for Scala, Python and R. This framework has the following unique features:<br \/>\n&#8211; It has a interactive web GUI (Flow) so that you can work w\/o any programming<br \/>\n&#8211; The generated trained models can be deployed easily in a production JVM environment with minimal dependencies.<\/p>\n<p>In this document we demonstrate how <a href=\"https:\/\/www.h2o.ai\/\">H2O<\/a> can be used with Scala &amp; Spark (Sparkling Water) to run a &#8216;Distributed Random Forrest&#8217; classification.<\/p>\n<p>H2O and the related documentation for Sparkling Water can be found <a href=\"http:\/\/h2o-release.s3.amazonaws.com\/h2o\/rel-xia\/1\/index.html\">here<\/a><\/p>\n<p>I am using Jupyter with the <a href=\"http:\/\/beakerx.com\/\">BeakerX<\/a> Scala kernel.<\/p>\n<p>The document can be fund at the following <a href=\"https:\/\/nbviewer.jupyter.org\/gist\/pschatzmann\/b3d2035a20e07d09ff21d92e6e468c4b\">gist<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>H2O is a machine learning framework which has been implemented in Java and provides an API for Scala, Python and R. This framework has the following unique features: &#8211; It has a interactive web GUI (Flow) so that you can work w\/o any programming &#8211; The generated trained models can [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":612,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_import_markdown_pro_load_document_selector":0,"_import_markdown_pro_submit_text_textarea":"","_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"categories":[14],"tags":[],"class_list":["post-610","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-machine-learning"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>H2O Sparkling Water - Distributed Random Forrest - Phil Schatzmann<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.pschatzmann.ch\/home\/2018\/11\/05\/h2o-sparkling-water-distributed-random-forrest\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"H2O Sparkling Water - Distributed Random Forrest - Phil Schatzmann\" \/>\n<meta property=\"og:description\" content=\"H2O is a machine learning framework which has been implemented in Java and provides an API for Scala, Python and R. 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