{"action":"created","issue":{"url":"https://api.github.com/repos/mlpack/mlpack/issues/1455","repository_url":"https://api.github.com/repos/mlpack/mlpack","labels_url":"https://api.github.com/repos/mlpack/mlpack/issues/1455/labels{/name}","comments_url":"https://api.github.com/repos/mlpack/mlpack/issues/1455/comments","events_url":"https://api.github.com/repos/mlpack/mlpack/issues/1455/events","html_url":"https://github.com/mlpack/mlpack/issues/1455","id":337274661,"node_id":"MDU6SXNzdWUzMzcyNzQ2NjE=","number":1455,"title":"Is there a way to output loss value for every iteration","user":{"login":"scrcro","id":34777130,"node_id":"MDQ6VXNlcjM0Nzc3MTMw","avatar_url":"https://avatars1.githubusercontent.com/u/34777130?v=4","gravatar_id":"","url":"https://api.github.com/users/scrcro","html_url":"https://github.com/scrcro","followers_url":"https://api.github.com/users/scrcro/followers","following_url":"https://api.github.com/users/scrcro/following{/other_user}","gists_url":"https://api.github.com/users/scrcro/gists{/gist_id}","starred_url":"https://api.github.com/users/scrcro/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/scrcro/subscriptions","organizations_url":"https://api.github.com/users/scrcro/orgs","repos_url":"https://api.github.com/users/scrcro/repos","events_url":"https://api.github.com/users/scrcro/events{/privacy}","received_events_url":"https://api.github.com/users/scrcro/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":17,"created_at":"2018-07-01T08:43:00Z","updated_at":"2018-07-19T14:35:45Z","closed_at":null,"author_association":"CONTRIBUTOR","body":"If I need to understand how the loss value behaves with every iteration of the training, is there a way to output the loss value to a file? I know there is some output in the form of LOG::Info but I just need the raw values without the texts. Is there a good way to accomplish this?"},"comment":{"url":"https://api.github.com/repos/mlpack/mlpack/issues/comments/406298531","html_url":"https://github.com/mlpack/mlpack/issues/1455#issuecomment-406298531","issue_url":"https://api.github.com/repos/mlpack/mlpack/issues/1455","id":406298531,"node_id":"MDEyOklzc3VlQ29tbWVudDQwNjI5ODUzMQ==","user":{"login":"zoq","id":4209744,"node_id":"MDQ6VXNlcjQyMDk3NDQ=","avatar_url":"https://avatars3.githubusercontent.com/u/4209744?v=4","gravatar_id":"","url":"https://api.github.com/users/zoq","html_url":"https://github.com/zoq","followers_url":"https://api.github.com/users/zoq/followers","following_url":"https://api.github.com/users/zoq/following{/other_user}","gists_url":"https://api.github.com/users/zoq/gists{/gist_id}","starred_url":"https://api.github.com/users/zoq/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/zoq/subscriptions","organizations_url":"https://api.github.com/users/zoq/orgs","repos_url":"https://api.github.com/users/zoq/repos","events_url":"https://api.github.com/users/zoq/events{/privacy}","received_events_url":"https://api.github.com/users/zoq/received_events","type":"User","site_admin":false},"created_at":"2018-07-19T14:35:45Z","updated_at":"2018-07-19T14:35:45Z","author_association":"MEMBER","body":"> Is the result of f.EvaluateWithGradient the correct value of the loss?\r\nYes, EvaluateWithGradient works.\r\n\r\n> Will the cumulative loss cause the parameters to overadjust?\r\nIf the batch size is constant, the tolerance will be in the same range, so not sure I see the effect; perhaps I missed something?\r\n\r\nAlso, we should keep in mind that this has the effect the stepsize should be selected according to the batch size."}}
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