{"action":"opened","issue":{"url":"https://api.github.com/repos/thomasp85/lime/issues/135","repository_url":"https://api.github.com/repos/thomasp85/lime","labels_url":"https://api.github.com/repos/thomasp85/lime/issues/135/labels{/name}","comments_url":"https://api.github.com/repos/thomasp85/lime/issues/135/comments","events_url":"https://api.github.com/repos/thomasp85/lime/issues/135/events","html_url":"https://github.com/thomasp85/lime/issues/135","id":385648226,"node_id":"MDU6SXNzdWUzODU2NDgyMjY=","number":135,"title":"Want to drop the data and prediction columns in the explain dataframe output","user":{"login":"busintelanalytics","id":43945782,"node_id":"MDQ6VXNlcjQzOTQ1Nzgy","avatar_url":"https://avatars3.githubusercontent.com/u/43945782?v=4","gravatar_id":"","url":"https://api.github.com/users/busintelanalytics","html_url":"https://github.com/busintelanalytics","followers_url":"https://api.github.com/users/busintelanalytics/followers","following_url":"https://api.github.com/users/busintelanalytics/following{/other_user}","gists_url":"https://api.github.com/users/busintelanalytics/gists{/gist_id}","starred_url":"https://api.github.com/users/busintelanalytics/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/busintelanalytics/subscriptions","organizations_url":"https://api.github.com/users/busintelanalytics/orgs","repos_url":"https://api.github.com/users/busintelanalytics/repos","events_url":"https://api.github.com/users/busintelanalytics/events{/privacy}","received_events_url":"https://api.github.com/users/busintelanalytics/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-11-29T09:42:48Z","updated_at":"2018-11-29T09:42:48Z","closed_at":null,"author_association":"NONE","body":"Hi Thomas, great package.  \r\n\r\nAloha from Hawaii!\r\n\r\nI'm attempting to process 50K cases, 4 features per case.  I'm really only after the content below, minus the data and prediction columns, since these columns explode the dataframe size. How do I run the explain function without outputting the data and prediction columns? \r\n\r\nA data.frame encoding the explanations one row per explained observation. The columns are:\r\n• model_type: The type of the model used for prediction.\r\n• case: The case being explained (the rowname in cases).\r\n• model_r2: The quality of the model used for the explanation\r\n• model_intercept: The intercept of the model used for the explanation\r\n• model_prediction: The prediction of the observation based on the model used for the explanation.\r\n• feature: The feature used for the explanation\r\n• feature_value: The value of the feature used\r\n• feature_weight: The weight of the feature in the explanation\r\n• feature_desc: A human readable description of the feature importance.\r\n• data: Original data being explained\r\n• prediction: The original prediction from the model**\r\n"}}
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