tmadl/sklearn-expertsys
Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
Python
Stargazers
- adamhaney@invisible-tech
- ahurriyetogluWageningen Food Safety Research (WFSR)
- albahnsenRappi
- alvations
- alxndrkalininBroad Institute of MIT and Harvard
- cwharland@textioHQ
- ddofer@SparkBeyond @LinialLab @Comocomo
- dfd
- elasticjava@implisense
- esafakArchipelago AI
- floydwch@bebit-tech
- ike-okonkwoSan Francisco, CA
- jhermann@mam-dev
- jodaiberSan Francisco, United States
- kudkudakWarsaw
- lmh1020lmh
- mahijar
- marcharperGoogle
- marctollinLocalytics
- marquisthunderCreditX
- mdagostTegus
- mpearmainLondon
- niknoproblems
- pengyupatrikSFU
- peterroelantsAspect Analytics
- piskvorky@pii-tools
- realRandomWalk
- stephane-rollandParis
- swayson
- themiurgoSpotify
- thrillseeker
- timmyshenChicago
- tobigue
- vchollatiVA, USA
- vrtsigBerlin
- zygmuntz