{"action":"created","issue":{"url":"https://api.github.com/repos/markovmodel/PyEMMA/issues/1352","repository_url":"https://api.github.com/repos/markovmodel/PyEMMA","labels_url":"https://api.github.com/repos/markovmodel/PyEMMA/issues/1352/labels{/name}","comments_url":"https://api.github.com/repos/markovmodel/PyEMMA/issues/1352/comments","events_url":"https://api.github.com/repos/markovmodel/PyEMMA/issues/1352/events","html_url":"https://github.com/markovmodel/PyEMMA/issues/1352","id":355411390,"node_id":"MDU6SXNzdWUzNTU0MTEzOTA=","number":1352,"title":"how to load my file to calculate dihedral and heavy atom positions","user":{"login":"naveenmeena584","id":41367747,"node_id":"MDQ6VXNlcjQxMzY3NzQ3","avatar_url":"https://avatars3.githubusercontent.com/u/41367747?v=4","gravatar_id":"","url":"https://api.github.com/users/naveenmeena584","html_url":"https://github.com/naveenmeena584","followers_url":"https://api.github.com/users/naveenmeena584/followers","following_url":"https://api.github.com/users/naveenmeena584/following{/other_user}","gists_url":"https://api.github.com/users/naveenmeena584/gists{/gist_id}","starred_url":"https://api.github.com/users/naveenmeena584/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/naveenmeena584/subscriptions","organizations_url":"https://api.github.com/users/naveenmeena584/orgs","repos_url":"https://api.github.com/users/naveenmeena584/repos","events_url":"https://api.github.com/users/naveenmeena584/events{/privacy}","received_events_url":"https://api.github.com/users/naveenmeena584/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":13,"created_at":"2018-08-30T03:35:06Z","updated_at":"2018-08-30T15:03:53Z","closed_at":null,"author_association":"NONE","body":"i want  to use this code for my files https://github.com/markovmodel/pyemma_tutorials/blob/master/notebooks/01-data-io-and-featurization.ipynb,  can you please help how to load files from local system other than ftp means files other than you use in eexample.\r\n\r\nThanks"},"comment":{"url":"https://api.github.com/repos/markovmodel/PyEMMA/issues/comments/417352474","html_url":"https://github.com/markovmodel/PyEMMA/issues/1352#issuecomment-417352474","issue_url":"https://api.github.com/repos/markovmodel/PyEMMA/issues/1352","id":417352474,"node_id":"MDEyOklzc3VlQ29tbWVudDQxNzM1MjQ3NA==","user":{"login":"cwehmeyer","id":5278589,"node_id":"MDQ6VXNlcjUyNzg1ODk=","avatar_url":"https://avatars3.githubusercontent.com/u/5278589?v=4","gravatar_id":"","url":"https://api.github.com/users/cwehmeyer","html_url":"https://github.com/cwehmeyer","followers_url":"https://api.github.com/users/cwehmeyer/followers","following_url":"https://api.github.com/users/cwehmeyer/following{/other_user}","gists_url":"https://api.github.com/users/cwehmeyer/gists{/gist_id}","starred_url":"https://api.github.com/users/cwehmeyer/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/cwehmeyer/subscriptions","organizations_url":"https://api.github.com/users/cwehmeyer/orgs","repos_url":"https://api.github.com/users/cwehmeyer/repos","events_url":"https://api.github.com/users/cwehmeyer/events{/privacy}","received_events_url":"https://api.github.com/users/cwehmeyer/received_events","type":"User","site_admin":false},"created_at":"2018-08-30T15:03:53Z","updated_at":"2018-08-30T15:03:53Z","author_association":"MEMBER","body":"Let us assume your single trajectory is loaded into the variable `data`. Then, running\r\n\r\n```Python\r\nn = len(data) // 2\r\ndata_train = data[:n]\r\ndata_validation = data[n:]\r\n```\r\n\r\nwould split your trajectory into roughly equal sized parts which are not overlapping. This is a crude but simple example.\r\n\r\nIf you want a more elaborate example, please consider working through this block subsampling function from deeptime's time-lagged autoencoder project: https://github.com/markovmodel/deeptime/blob/f2b97328baa1c38c92616f058195fa5803ff05d9/time-lagged-autoencoder/tae/utils.py#L190-L211"}}
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