{"action":"created","issue":{"url":"https://api.github.com/repos/berndbischl/mlr/issues/288","labels_url":"https://api.github.com/repos/berndbischl/mlr/issues/288/labels{/name}","comments_url":"https://api.github.com/repos/berndbischl/mlr/issues/288/comments","events_url":"https://api.github.com/repos/berndbischl/mlr/issues/288/events","html_url":"https://github.com/berndbischl/mlr/issues/288","id":71961166,"number":288,"title":"ensemble SVM project","user":{"login":"aydindemircioglu","id":4368505,"avatar_url":"https://avatars.githubusercontent.com/u/4368505?v=3","gravatar_id":"","url":"https://api.github.com/users/aydindemircioglu","html_url":"https://github.com/aydindemircioglu","followers_url":"https://api.github.com/users/aydindemircioglu/followers","following_url":"https://api.github.com/users/aydindemircioglu/following{/other_user}","gists_url":"https://api.github.com/users/aydindemircioglu/gists{/gist_id}","starred_url":"https://api.github.com/users/aydindemircioglu/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/aydindemircioglu/subscriptions","organizations_url":"https://api.github.com/users/aydindemircioglu/orgs","repos_url":"https://api.github.com/users/aydindemircioglu/repos","events_url":"https://api.github.com/users/aydindemircioglu/events{/privacy}","received_events_url":"https://api.github.com/users/aydindemircioglu/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":1,"created_at":"2015-04-29T19:09:43Z","updated_at":"2015-05-04T23:37:51Z","closed_at":null,"body":""},"comment":{"url":"https://api.github.com/repos/berndbischl/mlr/issues/comments/98885044","html_url":"https://github.com/berndbischl/mlr/issues/288#issuecomment-98885044","issue_url":"https://api.github.com/repos/berndbischl/mlr/issues/288","id":98885044,"user":{"login":"hetong007","id":1289856,"avatar_url":"https://avatars.githubusercontent.com/u/1289856?v=3","gravatar_id":"","url":"https://api.github.com/users/hetong007","html_url":"https://github.com/hetong007","followers_url":"https://api.github.com/users/hetong007/followers","following_url":"https://api.github.com/users/hetong007/following{/other_user}","gists_url":"https://api.github.com/users/hetong007/gists{/gist_id}","starred_url":"https://api.github.com/users/hetong007/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/hetong007/subscriptions","organizations_url":"https://api.github.com/users/hetong007/orgs","repos_url":"https://api.github.com/users/hetong007/repos","events_url":"https://api.github.com/users/hetong007/events{/privacy}","received_events_url":"https://api.github.com/users/hetong007/received_events","type":"User","site_admin":false},"created_at":"2015-05-04T23:37:51Z","updated_at":"2015-05-04T23:37:51Z","body":"In this week (May 3th - May 9th), I am going to study the details of the first and third paper. In the next week, I will study the details of the second paper and correspoding matlab codes. \r\n\r\nThis time I will figure out the answer for the following questions through the study:\r\n\r\n- Is there any existing packages which contain the models I am going to use? For example, the k-means and SVM are already implemented in R.\r\n- Is there any difficult math details that is important to the implementation but i don't understand? If so, I would probably turn to mentors for help.\r\n- What are the benchmark models in the paper? Are they available in R?\r\n\r\nFollowing are some general questions:\r\n\r\n- For now I'd like to keep them in the same structure for all 3 models. So what is the ideal structure of my code for each model?  Here is my vague design:\r\n    - The source code for the model. Ideally there's one learner file for a task with each model.\r\n    - The unitest code. Using data mentioned in the original paper is good.\r\n- How do I keep track of the performance(efficiency and accuracy) of my implementation?\r\n    - A good idea is to use simulated and real data set used in the paper. We can choose representative ones if there are too many. It is also testing the correctness of my code.\r\n    - After the experiments, we can use another Rmd file to record the result. However I don't know the general rules for `mlr`."}}