{"action":"created","comment":{"url":"https://api.github.com/repos/nilearn/nilearn/pulls/comments/34766607","id":34766607,"diff_hunk":"@@ -112,10 +123,12 @@ in memory:\n Controlling how the mask is computed from the data\n -----------------------------------------------------\n \n-In the basic tutorial, we showed how the masker could compute a mask\n-automatically, and it has done a good job. But, on some datasets, the\n-default algorithm performs poorly. This is why it is very important to\n-**always look at how your data look like**.\n+In this tutorial, we show how the masker object can compute a mask\n+automatically for subsequent statistical analysis.\n+On some datasets, the default algorithm may however perform poorly.\n+This is why it is very important to\n+**always look at your data** before and after feature\n+engineering using masker objects.","path":"doc/manipulating_visualizing/data_preparation.rst","position":143,"original_position":143,"commit_id":"067ac7a7943d531c64f465e1b1b4026c51a68be9","original_commit_id":"067ac7a7943d531c64f465e1b1b4026c51a68be9","user":{"login":"banilo","id":3907396,"avatar_url":"https://avatars.githubusercontent.com/u/3907396?v=3","gravatar_id":"","url":"https://api.github.com/users/banilo","html_url":"https://github.com/banilo","followers_url":"https://api.github.com/users/banilo/followers","following_url":"https://api.github.com/users/banilo/following{/other_user}","gists_url":"https://api.github.com/users/banilo/gists{/gist_id}","starred_url":"https://api.github.com/users/banilo/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/banilo/subscriptions","organizations_url":"https://api.github.com/users/banilo/orgs","repos_url":"https://api.github.com/users/banilo/repos","events_url":"https://api.github.com/users/banilo/events{/privacy}","received_events_url":"https://api.github.com/users/banilo/received_events","type":"User","site_admin":false},"body":"yes. Feature Agglomeration woould be plain Masking, but Feature Engineering implies something smarter than just selecting.","created_at":"2015-07-16T08:44:34Z","updated_at":"2015-07-16T08:44:34Z","html_url":"https://github.com/nilearn/nilearn/pull/615#discussion_r34766607","pull_request_url":"https://api.github.com/repos/nilearn/nilearn/pulls/615","_links":{"self":{"href":"https://api.github.com/repos/nilearn/nilearn/pulls/comments/34766607"},"html":{"href":"https://github.com/nilearn/nilearn/pull/615#discussion_r34766607"},"pull_request":{"href":"https://api.github.com/repos/nilearn/nilearn/pulls/615"}}},"pull_request":{"url":"https://api.github.com/repos/nilearn/nilearn/pulls/615","id":38256811,"html_url":"https://github.com/nilearn/nilearn/pull/615","diff_url":"https://github.com/nilearn/nilearn/pull/615.diff","patch_url":"https://github.com/nilearn/nilearn/pull/615.patch","issue_url":"https://api.github.com/repos/nilearn/nilearn/issues/615","number":615,"state":"open","locked":false,"title":"[MRG] doccheck 2: 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