{"action":"created","issue":{"url":"https://api.github.com/repos/wepe/tgboost/issues/2","repository_url":"https://api.github.com/repos/wepe/tgboost","labels_url":"https://api.github.com/repos/wepe/tgboost/issues/2/labels{/name}","comments_url":"https://api.github.com/repos/wepe/tgboost/issues/2/comments","events_url":"https://api.github.com/repos/wepe/tgboost/issues/2/events","html_url":"https://github.com/wepe/tgboost/issues/2","id":257045017,"number":2,"title":"离散变量该如何split？","user":{"login":"liudragonfly","id":763743,"avatar_url":"https://avatars3.githubusercontent.com/u/763743?v=4","gravatar_id":"","url":"https://api.github.com/users/liudragonfly","html_url":"https://github.com/liudragonfly","followers_url":"https://api.github.com/users/liudragonfly/followers","following_url":"https://api.github.com/users/liudragonfly/following{/other_user}","gists_url":"https://api.github.com/users/liudragonfly/gists{/gist_id}","starred_url":"https://api.github.com/users/liudragonfly/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/liudragonfly/subscriptions","organizations_url":"https://api.github.com/users/liudragonfly/orgs","repos_url":"https://api.github.com/users/liudragonfly/repos","events_url":"https://api.github.com/users/liudragonfly/events{/privacy}","received_events_url":"https://api.github.com/users/liudragonfly/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":2,"created_at":"2017-09-12T13:34:23Z","updated_at":"2018-02-28T10:24:16Z","closed_at":null,"author_association":"NONE","body":"代码里this_threshold = (cur_value + nxt_value) / 2.0 如果当前列是离散值 tgboost是不是还不支持？\r\n另外Y.hess.sum() < self.min_child_weight为何用二阶导数的sum作为判定标准没有想明白。谢谢你。"},"comment":{"url":"https://api.github.com/repos/wepe/tgboost/issues/comments/369194954","html_url":"https://github.com/wepe/tgboost/issues/2#issuecomment-369194954","issue_url":"https://api.github.com/repos/wepe/tgboost/issues/2","id":369194954,"user":{"login":"liudragonfly","id":763743,"avatar_url":"https://avatars3.githubusercontent.com/u/763743?v=4","gravatar_id":"","url":"https://api.github.com/users/liudragonfly","html_url":"https://github.com/liudragonfly","followers_url":"https://api.github.com/users/liudragonfly/followers","following_url":"https://api.github.com/users/liudragonfly/following{/other_user}","gists_url":"https://api.github.com/users/liudragonfly/gists{/gist_id}","starred_url":"https://api.github.com/users/liudragonfly/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/liudragonfly/subscriptions","organizations_url":"https://api.github.com/users/liudragonfly/orgs","repos_url":"https://api.github.com/users/liudragonfly/repos","events_url":"https://api.github.com/users/liudragonfly/events{/privacy}","received_events_url":"https://api.github.com/users/liudragonfly/received_events","type":"User","site_admin":false},"created_at":"2018-02-28T10:24:16Z","updated_at":"2018-02-28T10:24:16Z","author_association":"NONE","body":"@gutouyu 我又看了下楼主最原始的python实现 应该是不支持category"}}
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