{"action":"created","issue":{"url":"https://api.github.com/repos/rstudio/keras/issues/55","repository_url":"https://api.github.com/repos/rstudio/keras","labels_url":"https://api.github.com/repos/rstudio/keras/issues/55/labels{/name}","comments_url":"https://api.github.com/repos/rstudio/keras/issues/55/comments","events_url":"https://api.github.com/repos/rstudio/keras/issues/55/events","html_url":"https://github.com/rstudio/keras/issues/55","id":239179287,"number":55,"title":"How do we shape data for multivariate RNN and LSTM?","user":{"login":"deanmckee007","id":11655747,"avatar_url":"https://avatars0.githubusercontent.com/u/11655747?v=3","gravatar_id":"","url":"https://api.github.com/users/deanmckee007","html_url":"https://github.com/deanmckee007","followers_url":"https://api.github.com/users/deanmckee007/followers","following_url":"https://api.github.com/users/deanmckee007/following{/other_user}","gists_url":"https://api.github.com/users/deanmckee007/gists{/gist_id}","starred_url":"https://api.github.com/users/deanmckee007/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/deanmckee007/subscriptions","organizations_url":"https://api.github.com/users/deanmckee007/orgs","repos_url":"https://api.github.com/users/deanmckee007/repos","events_url":"https://api.github.com/users/deanmckee007/events{/privacy}","received_events_url":"https://api.github.com/users/deanmckee007/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":2,"created_at":"2017-06-28T14:17:59Z","updated_at":"2017-06-28T15:02:55Z","closed_at":null,"body":"I can't find any examples beyond uni-variate sequential problems.\r\n\r\nI have 110 input features across two sequential time periods (t0, t1) and I'm predicting a binary outcome in t2.\r\n\r\nTwo things are unclear for me:  \r\nHow do I shape the data fed to Keras?\r\nHow do I set the parameters in the layers to accept these data?\r\n\r\nAre we to use a 3 dimensional array with time as the third dimension?\r\nAre we to simply use a matrix where the first 110 columns correspond to t0, the next 110 correspond to t1 and the last column is the t2 binary outcome?"},"comment":{"url":"https://api.github.com/repos/rstudio/keras/issues/comments/311687767","html_url":"https://github.com/rstudio/keras/issues/55#issuecomment-311687767","issue_url":"https://api.github.com/repos/rstudio/keras/issues/55","id":311687767,"user":{"login":"deanmckee007","id":11655747,"avatar_url":"https://avatars0.githubusercontent.com/u/11655747?v=3","gravatar_id":"","url":"https://api.github.com/users/deanmckee007","html_url":"https://github.com/deanmckee007","followers_url":"https://api.github.com/users/deanmckee007/followers","following_url":"https://api.github.com/users/deanmckee007/following{/other_user}","gists_url":"https://api.github.com/users/deanmckee007/gists{/gist_id}","starred_url":"https://api.github.com/users/deanmckee007/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/deanmckee007/subscriptions","organizations_url":"https://api.github.com/users/deanmckee007/orgs","repos_url":"https://api.github.com/users/deanmckee007/repos","events_url":"https://api.github.com/users/deanmckee007/events{/privacy}","received_events_url":"https://api.github.com/users/deanmckee007/received_events","type":"User","site_admin":false},"created_at":"2017-06-28T15:02:55Z","updated_at":"2017-06-28T15:02:55Z","body":"@dfalbel @Ax3man \r\n\r\nTrying to make a run at your suggestions today.  Thanks for the feedback - very helpful."}}
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