{"action":"created","issue":{"url":"https://api.github.com/repos/DistrictDataLabs/yellowbrick/issues/398","repository_url":"https://api.github.com/repos/DistrictDataLabs/yellowbrick","labels_url":"https://api.github.com/repos/DistrictDataLabs/yellowbrick/issues/398/labels{/name}","comments_url":"https://api.github.com/repos/DistrictDataLabs/yellowbrick/issues/398/comments","events_url":"https://api.github.com/repos/DistrictDataLabs/yellowbrick/issues/398/events","html_url":"https://github.com/DistrictDataLabs/yellowbrick/issues/398","id":322518663,"number":398,"title":"Manifold Feature 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Methods](http://scikit-learn.org/stable/_images/sphx_glr_plot_compare_methods_001.png) \r\n\r\nCurrently we have a t-SNE visualizer for text, but we can create a general manifold learning visualizer for projecting high dimensional data into 2 dimensions that respect non-linear effects (unlike our current decomposition methods. \r\n\r\n### Proposal/Issue\r\n\r\nThe visualizer would take as hyperparameters:\r\n\r\n- The color space of the original data (either by class or more specifically for each point) \r\n- The manifold method (string or estimator) \r\n\r\nIt would be fit to training data. \r\n\r\nThe visualizer would display the representation in 2D space, as well as the training time and any other associated metrics. \r\n\r\n### Code Snippet\r\n\r\n- Code snippet found here: [Plot Compare Manifold Methods](http://scikit-learn.org/stable/auto_examples/manifold/plot_compare_methods.html)\r\n\r\n### Background\r\n\r\n- [Comparison of Manifold Algorithms (sklearn docs)](http://scikit-learn.org/stable/modules/manifold.html#manifold)\r\n\r\nThis investigation started with self-organizing maps (SOMS) visualization:\r\n\r\n- http://blog.yhat.com/posts/self-organizing-maps-2.html\r\n- https://stats.stackexchange.com/questions/210446/how-does-one-visualize-the-self-organizing-map-of-n-dimensional-data\r\n"},"comment":{"url":"https://api.github.com/repos/DistrictDataLabs/yellowbrick/issues/comments/390061988","html_url":"https://github.com/DistrictDataLabs/yellowbrick/issues/398#issuecomment-390061988","issue_url":"https://api.github.com/repos/DistrictDataLabs/yellowbrick/issues/398","id":390061988,"user":{"login":"bbengfort","id":745966,"avatar_url":"https://avatars0.githubusercontent.com/u/745966?v=4","gravatar_id":"","url":"https://api.github.com/users/bbengfort","html_url":"https://github.com/bbengfort","followers_url":"https://api.github.com/users/bbengfort/followers","following_url":"https://api.github.com/users/bbengfort/following{/other_user}","gists_url":"https://api.github.com/users/bbengfort/gists{/gist_id}","starred_url":"https://api.github.com/users/bbengfort/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/bbengfort/subscriptions","organizations_url":"https://api.github.com/users/bbengfort/orgs","repos_url":"https://api.github.com/users/bbengfort/repos","events_url":"https://api.github.com/users/bbengfort/events{/privacy}","received_events_url":"https://api.github.com/users/bbengfort/received_events","type":"User","site_admin":false},"created_at":"2018-05-18T01:04:03Z","updated_at":"2018-05-18T01:04:03Z","author_association":"MEMBER","body":"Closed in #399 "}}
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