作者查詢 / Wush978
作者 Wush978 在 PTT [ R_Language ] 看板的留言(推文), 共1255則
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1F推: 檢查r的版本與.libPaths()是否一致06/30 14:08
6F→: XD 我其實漏看了他的機率設定。但是如果照他的機率設定06/26 17:34
7F→: 再加上失敗重抽,可能就可以了(?)06/26 17:34
8F→: 這種思維,其實來自於當年學的importance sampling06/26 17:35
1F→: 最近我用xml2編輯html文件,結果會爆炸06/08 00:22
2F→: 所以最後重回XML的懷抱...06/08 00:22
1F→: Try two package: text2vec or FeatureHashing06/05 11:18
4F→: 我不知道耶,要看你HMM的實做了06/06 00:06
5F→: 不然就用strsplit硬幹,或是寫Rcpp在C++裡面處理06/06 00:06
6F→: 那是文章代碼,你可以參考 https://goo.gl/MqbTPE06/04 11:15
1F推: 這不是真正的error message, 只是說ld出錯而已05/17 11:08
15F→: 直接被close了05/23 15:56
2F→: R CMD javareconf 之後重裝看看05/08 02:23
21F推: 變數這麼多,應該會有perfect split, 也就是在某些類別型04/27 16:52
22F→: 變數的狀態下有y全0或1的狀況。這時候training會因為機率04/27 16:52
23F→: 值是0 or 1, 導致你的logistic regression在linear part04/27 16:53
24F→: 必須要是-Inf / Inf ,進而導致數值收斂的困難04/27 16:53
25F→: 實務上除了去找方法修剪feature外,也可以把lambda打開用04/27 16:54
26F→: regularization解決收歛性的問題。你可以利用cross04/27 16:54
27F→: validation來挑適當的lamda值,對你的預測也有幫助04/27 16:54
28F→: 最後,小心若資料的label的0/1比率差很大,那準確率沒有04/27 16:55
29F→: 參考性。04/27 16:55
3F→: 可以用 Box-Cox Transform 來找最好的transformation04/24 20:44
4F→: R裡面有實做04/24 20:45