{"action":"created","issue":{"url":"https://api.github.com/repos/randyzwitch/H2O.jl/issues/3","labels_url":"https://api.github.com/repos/randyzwitch/H2O.jl/issues/3/labels{/name}","comments_url":"https://api.github.com/repos/randyzwitch/H2O.jl/issues/3/comments","events_url":"https://api.github.com/repos/randyzwitch/H2O.jl/issues/3/events","html_url":"https://github.com/randyzwitch/H2O.jl/issues/3","id":117411609,"number":3,"title":"The local H2O instance","user":{"login":"Evizero","id":10854026,"avatar_url":"https://avatars.githubusercontent.com/u/10854026?v=3","gravatar_id":"","url":"https://api.github.com/users/Evizero","html_url":"https://github.com/Evizero","followers_url":"https://api.github.com/users/Evizero/followers","following_url":"https://api.github.com/users/Evizero/following{/other_user}","gists_url":"https://api.github.com/users/Evizero/gists{/gist_id}","starred_url":"https://api.github.com/users/Evizero/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Evizero/subscriptions","organizations_url":"https://api.github.com/users/Evizero/orgs","repos_url":"https://api.github.com/users/Evizero/repos","events_url":"https://api.github.com/users/Evizero/events{/privacy}","received_events_url":"https://api.github.com/users/Evizero/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":1,"created_at":"2015-11-17T17:52:21Z","updated_at":"2015-11-17T17:55:18Z","closed_at":null,"body":"One obstacle I see in a native Julia implementation is firing up a local instance, which is something the R package can do.\r\n\r\nIs this something we want to do, or do we assume the user has to fire up the H2O jar file separately?"},"comment":{"url":"https://api.github.com/repos/randyzwitch/H2O.jl/issues/comments/157452443","html_url":"https://github.com/randyzwitch/H2O.jl/issues/3#issuecomment-157452443","issue_url":"https://api.github.com/repos/randyzwitch/H2O.jl/issues/3","id":157452443,"user":{"login":"randyzwitch","id":2762787,"avatar_url":"https://avatars.githubusercontent.com/u/2762787?v=3","gravatar_id":"","url":"https://api.github.com/users/randyzwitch","html_url":"https://github.com/randyzwitch","followers_url":"https://api.github.com/users/randyzwitch/followers","following_url":"https://api.github.com/users/randyzwitch/following{/other_user}","gists_url":"https://api.github.com/users/randyzwitch/gists{/gist_id}","starred_url":"https://api.github.com/users/randyzwitch/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/randyzwitch/subscriptions","organizations_url":"https://api.github.com/users/randyzwitch/orgs","repos_url":"https://api.github.com/users/randyzwitch/repos","events_url":"https://api.github.com/users/randyzwitch/events{/privacy}","received_events_url":"https://api.github.com/users/randyzwitch/received_events","type":"User","site_admin":false},"created_at":"2015-11-17T17:55:18Z","updated_at":"2015-11-17T17:55:18Z","body":"That's the reason why I used PyCall, so that I didn't have to worry about that right now. Conceptually, it's not that difficult, we just need to check if `localhost:54321` responds, and if not, shell out to start the .jar.\r\n\r\nRight now, the `H2O.init()` function will start a local instance, and connect to a remote Hadoop instance."}}