MasashiSode/mcs_kfold
mcs_kfold stands for "monte carlo stratified k fold". This library attempts to achieve equal distribution of discrete/categorical variables in all folds. The greatest advantage of this method is that it can be applied to multi-dimensional targets.
PythonMIT
Stargazers
- a-mp
- akiFQCJapan, Tokyo
- analokmausAillis Inc.
- Ant3ng
- authmanIrving, TX
- chizuchizuNational Institute of Technology, Kisarazu College
- ck1000songs
- currypurinTokyo
- fukumame@AillisInc
- hnishiACCESS CO.,LTD.
- ikeshita2o2
- imbibekkSeoul
- IMOKURI@HewlettPackard
- Kevinrobot34@Finatext
- khirotakaTokyo, Japan
- kiccho1101The University of Tokyo
- koukyo1994Tokyo, Japan
- kuto5046
- MasashiSodeUNC-Chapel Hill
- matsukostd
- MitsuruFujiwaraInvestment Bank
- mucunwuxian
- natsuookeTokyo
- pyst1g
- RWParsonsBrisbane, AU
- sho-okiyama
- takashioya
- tattaka
- Tdys13
- tokusumiJapan
- upuraTokyo, Japan
- wakame1367[Rist Inc.](https://www.rist.co.jp/)
- ykt345
- yujiariyasu
- yuko-iTokyo
- yutakasawaiTokyo