{"action":"closed","issue":{"url":"https://api.github.com/repos/cornellius-gp/gpytorch/issues/261","repository_url":"https://api.github.com/repos/cornellius-gp/gpytorch","labels_url":"https://api.github.com/repos/cornellius-gp/gpytorch/issues/261/labels{/name}","comments_url":"https://api.github.com/repos/cornellius-gp/gpytorch/issues/261/comments","events_url":"https://api.github.com/repos/cornellius-gp/gpytorch/issues/261/events","html_url":"https://github.com/cornellius-gp/gpytorch/issues/261","id":359224495,"node_id":"MDU6SXNzdWUzNTkyMjQ0OTU=","number":261,"title":"Implement LCM Kernel","user":{"login":"Balandat","id":1605878,"node_id":"MDQ6VXNlcjE2MDU4Nzg=","avatar_url":"https://avatars2.githubusercontent.com/u/1605878?v=4","gravatar_id":"","url":"https://api.github.com/users/Balandat","html_url":"https://github.com/Balandat","followers_url":"https://api.github.com/users/Balandat/followers","following_url":"https://api.github.com/users/Balandat/following{/other_user}","gists_url":"https://api.github.com/users/Balandat/gists{/gist_id}","starred_url":"https://api.github.com/users/Balandat/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Balandat/subscriptions","organizations_url":"https://api.github.com/users/Balandat/orgs","repos_url":"https://api.github.com/users/Balandat/repos","events_url":"https://api.github.com/users/Balandat/events{/privacy}","received_events_url":"https://api.github.com/users/Balandat/received_events","type":"User","site_admin":false},"labels":[{"id":623304448,"node_id":"MDU6TGFiZWw2MjMzMDQ0NDg=","url":"https://api.github.com/repos/cornellius-gp/gpytorch/labels/enhancement","name":"enhancement","color":"84b6eb","default":true}],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2018-09-11T21:08:09Z","updated_at":"2018-10-01T23:34:26Z","closed_at":"2018-10-01T23:34:26Z","author_association":"COLLABORATOR","body":"We can provide a simple ICM constructor that just wraps this for convenience/clarity. I'll have to think a little bit how we deal with the priors on the different index kernels involved - it's probably fine to have the correlation prior over all index kernels and specify that once in the constructor. Though it's not quite clear how these would be evaluated then in the current setup. Maybe the easiest is just to clone the prior and attach it to each IndexKernel."}}
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