{"action":"closed","issue":{"url":"https://api.github.com/repos/ratschlab/SOM-VAE/issues/3","repository_url":"https://api.github.com/repos/ratschlab/SOM-VAE","labels_url":"https://api.github.com/repos/ratschlab/SOM-VAE/issues/3/labels{/name}","comments_url":"https://api.github.com/repos/ratschlab/SOM-VAE/issues/3/comments","events_url":"https://api.github.com/repos/ratschlab/SOM-VAE/issues/3/events","html_url":"https://github.com/ratschlab/SOM-VAE/issues/3","id":387356803,"node_id":"MDU6SXNzdWUzODczNTY4MDM=","number":3,"title":"Use temporal data with shape: [batch_size, seq_length, n_features]","user":{"login":"psanch21","id":16980895,"node_id":"MDQ6VXNlcjE2OTgwODk1","avatar_url":"https://avatars1.githubusercontent.com/u/16980895?v=4","gravatar_id":"","url":"https://api.github.com/users/psanch21","html_url":"https://github.com/psanch21","followers_url":"https://api.github.com/users/psanch21/followers","following_url":"https://api.github.com/users/psanch21/following{/other_user}","gists_url":"https://api.github.com/users/psanch21/gists{/gist_id}","starred_url":"https://api.github.com/users/psanch21/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/psanch21/subscriptions","organizations_url":"https://api.github.com/users/psanch21/orgs","repos_url":"https://api.github.com/users/psanch21/repos","events_url":"https://api.github.com/users/psanch21/events{/privacy}","received_events_url":"https://api.github.com/users/psanch21/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":2,"created_at":"2018-12-04T15:59:49Z","updated_at":"2018-12-10T15:54:33Z","closed_at":"2018-12-10T15:54:33Z","author_association":"NONE","body":"Hi! I have some data I would like to test on your model but I cant manage to train it. The dataset contains N sequences with length 100 and 10 features in each time step. How should I set the parameters / network architecture? Thank you in advance."}}
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