{"action":"opened","issue":{"url":"https://api.github.com/repos/mlr-org/mlr/issues/1025","repository_url":"https://api.github.com/repos/mlr-org/mlr","labels_url":"https://api.github.com/repos/mlr-org/mlr/issues/1025/labels{/name}","comments_url":"https://api.github.com/repos/mlr-org/mlr/issues/1025/comments","events_url":"https://api.github.com/repos/mlr-org/mlr/issues/1025/events","html_url":"https://github.com/mlr-org/mlr/issues/1025","id":166102469,"number":1025,"title":"pvalue is not a parameter of cforest","user":{"login":"MariaErdmann","id":18098454,"avatar_url":"https://avatars.githubusercontent.com/u/18098454?v=3","gravatar_id":"","url":"https://api.github.com/users/MariaErdmann","html_url":"https://github.com/MariaErdmann","followers_url":"https://api.github.com/users/MariaErdmann/followers","following_url":"https://api.github.com/users/MariaErdmann/following{/other_user}","gists_url":"https://api.github.com/users/MariaErdmann/gists{/gist_id}","starred_url":"https://api.github.com/users/MariaErdmann/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/MariaErdmann/subscriptions","organizations_url":"https://api.github.com/users/MariaErdmann/orgs","repos_url":"https://api.github.com/users/MariaErdmann/repos","events_url":"https://api.github.com/users/MariaErdmann/events{/privacy}","received_events_url":"https://api.github.com/users/MariaErdmann/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2016-07-18T14:10:20Z","updated_at":"2016-07-18T14:10:20Z","closed_at":null,"body":"Hi,\r\n\r\nimplementing a multilabel.cforest I stumbled over the parameter pvalue in the paramset of our classification, regression and survival learners. I searched for this parameter in conjunction with cforest on the net but did not find it. Indeed, it does not work (creating the learner does work, but training not):\r\n\r\n````\r\nclrn = makeLearner(\"classif.cforest\", par.vals = list(pvalue = TRUE))\r\nmod = train(clrn, binaryclass.task)\r\n\r\nrlrn = makeLearner(\"regr.cforest\", par.vals = list(pvalue = FALSE))\r\nmod2 = train(rlrn, regr.task)\r\n\r\nslrn = makeLearner(\"surv.cforest\", par.vals = list(pvalue = TRUE))\r\nmod3 = train(slrn, surv.task)\r\n````\r\nDo I miss something or can I remove the parameter from the learners?\r\n\r\nCheers, Maria"}}
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