{"action":"created","issue":{"url":"https://api.github.com/repos/tensorflow/tensorflow/issues/342","labels_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/342/labels{/name}","comments_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/342/comments","events_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/342/events","html_url":"https://github.com/tensorflow/tensorflow/issues/342","id":118586549,"number":342,"title":"Feed sparse array for placeholder ?","user":{"login":"chenghuige","id":6323467,"avatar_url":"https://avatars.githubusercontent.com/u/6323467?v=3","gravatar_id":"","url":"https://api.github.com/users/chenghuige","html_url":"https://github.com/chenghuige","followers_url":"https://api.github.com/users/chenghuige/followers","following_url":"https://api.github.com/users/chenghuige/following{/other_user}","gists_url":"https://api.github.com/users/chenghuige/gists{/gist_id}","starred_url":"https://api.github.com/users/chenghuige/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/chenghuige/subscriptions","organizations_url":"https://api.github.com/users/chenghuige/orgs","repos_url":"https://api.github.com/users/chenghuige/repos","events_url":"https://api.github.com/users/chenghuige/events{/privacy}","received_events_url":"https://api.github.com/users/chenghuige/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":{"login":"ebrevdo","id":1794715,"avatar_url":"https://avatars.githubusercontent.com/u/1794715?v=3","gravatar_id":"","url":"https://api.github.com/users/ebrevdo","html_url":"https://github.com/ebrevdo","followers_url":"https://api.github.com/users/ebrevdo/followers","following_url":"https://api.github.com/users/ebrevdo/following{/other_user}","gists_url":"https://api.github.com/users/ebrevdo/gists{/gist_id}","starred_url":"https://api.github.com/users/ebrevdo/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ebrevdo/subscriptions","organizations_url":"https://api.github.com/users/ebrevdo/orgs","repos_url":"https://api.github.com/users/ebrevdo/repos","events_url":"https://api.github.com/users/ebrevdo/events{/privacy}","received_events_url":"https://api.github.com/users/ebrevdo/received_events","type":"User","site_admin":false},"milestone":null,"comments":20,"created_at":"2015-11-24T11:24:19Z","updated_at":"2015-11-30T05:38:35Z","closed_at":"2015-11-30T05:38:35Z","body":"X = tf.placeholder(\"float\", [None, num_features]) # create symbolic variables\r\nY = tf.placeholder(\"float\", [None, 1])\r\n\r\npredicts = sess.run(predict_op, feed_dict={X: teX, Y: teY})\r\n\r\nWhat if I'am facing text classification problem, where every instance is extremely sparse, \r\nlike using scipy.sparse.csr_matrix or somethint else, what's the best to do this ?"},"comment":{"url":"https://api.github.com/repos/tensorflow/tensorflow/issues/comments/160520494","html_url":"https://github.com/tensorflow/tensorflow/issues/342#issuecomment-160520494","issue_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/342","id":160520494,"user":{"login":"chenghuige","id":6323467,"avatar_url":"https://avatars.githubusercontent.com/u/6323467?v=3","gravatar_id":"","url":"https://api.github.com/users/chenghuige","html_url":"https://github.com/chenghuige","followers_url":"https://api.github.com/users/chenghuige/followers","following_url":"https://api.github.com/users/chenghuige/following{/other_user}","gists_url":"https://api.github.com/users/chenghuige/gists{/gist_id}","starred_url":"https://api.github.com/users/chenghuige/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/chenghuige/subscriptions","organizations_url":"https://api.github.com/users/chenghuige/orgs","repos_url":"https://api.github.com/users/chenghuige/repos","events_url":"https://api.github.com/users/chenghuige/events{/privacy}","received_events_url":"https://api.github.com/users/chenghuige/received_events","type":"User","site_admin":false},"created_at":"2015-11-30T05:38:35Z","updated_at":"2015-11-30T05:38:35Z","body":"@ebrevdo  Well should be combiner = \"sum\", then ok. Thanks very much, ebrevdo and georgedahl.\r\nSince problem solved, closing this bug."}}