{"id":18414802,"url":"https://github.com/navdeep-g/jsm-2018","last_synced_at":"2025-04-13T00:58:49.090Z","repository":{"id":145427469,"uuid":"141631567","full_name":"navdeep-G/jsm-2018","owner":"navdeep-G","description":"Joint Statistical Meeting 2018","archived":false,"fork":false,"pushed_at":"2019-05-25T15:41:24.000Z","size":16943,"stargazers_count":3,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-04-13T00:58:41.404Z","etag":null,"topics":["cloud-computing","h2o","machine-learning","r","statistics"],"latest_commit_sha":null,"homepage":null,"language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/navdeep-G.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2018-07-19T21:15:08.000Z","updated_at":"2019-05-25T15:41:27.000Z","dependencies_parsed_at":"2023-06-03T18:00:35.652Z","dependency_job_id":null,"html_url":"https://github.com/navdeep-G/jsm-2018","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/navdeep-G%2Fjsm-2018","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/navdeep-G%2Fjsm-2018/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/navdeep-G%2Fjsm-2018/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/navdeep-G%2Fjsm-2018/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/navdeep-G","download_url":"https://codeload.github.com/navdeep-G/jsm-2018/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248650435,"owners_count":21139672,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["cloud-computing","h2o","machine-learning","r","statistics"],"created_at":"2024-11-06T03:52:23.219Z","updated_at":"2025-04-13T00:58:49.049Z","avatar_url":"https://github.com/navdeep-G.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Joint Statistical Meeting 2018\n\n## Distributed Machine Learning with H2O\n\n### Prerequisites for H2O\n\n[H2O-3 Requirements](http://h2o-release.s3.amazonaws.com/h2o/rel-wolpert/9/docs-website/h2o-docs/welcome.html#requirements)\n\n### Install H2O in R\n```\n# The following two commands remove any previously installed H2O packages for R.\nif (\"package:h2o\" %in% search()) { detach(\"package:h2o\", unload=TRUE) }\nif (\"h2o\" %in% rownames(installed.packages())) { remove.packages(\"h2o\") }\n\n# Next, we download packages that H2O depends on.\npkgs \u003c- c(\"RCurl\",\"jsonlite\")\nfor (pkg in pkgs) {\nif (! (pkg %in% rownames(installed.packages()))) { install.packages(pkg) }\n}\n\n# Now we download, install and initialize the H2O package for R.\ninstall.packages(\"h2o\", type=\"source\", repos=\"http://h2o-release.s3.amazonaws.com/h2o/rel-wright/3/R\")\n\n# Finally, let's load H2O and start up an H2O cluster\nlibrary(h2o)\nh2o.init()\n```\n\n### Running R script\n\n* The [R](https://github.com/navdeep-G/jsm-2018/blob/master/h2o_airlines.R) script is meant to be run in a multi-node (EC2 or cluster of CPU's) setup as the data used is quite large (airlines dataset)\n* [Here](https://github.com/navdeep-G/h2o-ec2) is a guide to setup your own EC2 instance with the latest [H2O-3](http://h2o-release.s3.amazonaws.com/h2o/rel-wright/3/index.html)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnavdeep-g%2Fjsm-2018","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnavdeep-g%2Fjsm-2018","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnavdeep-g%2Fjsm-2018/lists"}