{"action":"created","issue":{"url":"https://api.github.com/repos/dmlc/mxnet/issues/3328","repository_url":"https://api.github.com/repos/dmlc/mxnet","labels_url":"https://api.github.com/repos/dmlc/mxnet/issues/3328/labels{/name}","comments_url":"https://api.github.com/repos/dmlc/mxnet/issues/3328/comments","events_url":"https://api.github.com/repos/dmlc/mxnet/issues/3328/events","html_url":"https://github.com/dmlc/mxnet/issues/3328","id":177818745,"number":3328,"title":"Adding training data with multiple features to mx.lstm in R?","user":{"login":"albert3858","id":8069408,"avatar_url":"https://avatars.githubusercontent.com/u/8069408?v=3","gravatar_id":"","url":"https://api.github.com/users/albert3858","html_url":"https://github.com/albert3858","followers_url":"https://api.github.com/users/albert3858/followers","following_url":"https://api.github.com/users/albert3858/following{/other_user}","gists_url":"https://api.github.com/users/albert3858/gists{/gist_id}","starred_url":"https://api.github.com/users/albert3858/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/albert3858/subscriptions","organizations_url":"https://api.github.com/users/albert3858/orgs","repos_url":"https://api.github.com/users/albert3858/repos","events_url":"https://api.github.com/users/albert3858/events{/privacy}","received_events_url":"https://api.github.com/users/albert3858/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2016-09-19T15:35:57Z","updated_at":"2016-09-19T22:01:18Z","closed_at":null,"body":"The Shakespeare text example for mx.lstm appears to have only one feature, which consists of the target labels lagged by one step arranged into a list of input.size column lengths. However, I can't quite see from the docs how to add multiple features. Should it be a 3d array? Or something else? Thx "},"comment":{"url":"https://api.github.com/repos/dmlc/mxnet/issues/comments/248141011","html_url":"https://github.com/dmlc/mxnet/issues/3328#issuecomment-248141011","issue_url":"https://api.github.com/repos/dmlc/mxnet/issues/3328","id":248141011,"user":{"login":"albert3858","id":8069408,"avatar_url":"https://avatars.githubusercontent.com/u/8069408?v=3","gravatar_id":"","url":"https://api.github.com/users/albert3858","html_url":"https://github.com/albert3858","followers_url":"https://api.github.com/users/albert3858/followers","following_url":"https://api.github.com/users/albert3858/following{/other_user}","gists_url":"https://api.github.com/users/albert3858/gists{/gist_id}","starred_url":"https://api.github.com/users/albert3858/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/albert3858/subscriptions","organizations_url":"https://api.github.com/users/albert3858/orgs","repos_url":"https://api.github.com/users/albert3858/repos","events_url":"https://api.github.com/users/albert3858/events{/privacy}","received_events_url":"https://api.github.com/users/albert3858/received_events","type":"User","site_admin":false},"created_at":"2016-09-19T22:01:18Z","updated_at":"2016-09-19T22:01:18Z","body":"It appears possible to create valid MXDataIter compatible iterators (is.mx.dataiter  returns true) using multiple feature inputs, but attempting to use these with mx.lstm results in the following error:\r\nCheck failed: from.shape() == to->shape() operands shape mismatch\r\n\r\nAny suggestions very gratefully received, Thx"}}
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