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serengil / chefboost

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python
https://www.youtube.com/watch?v=Z93qE5eb6eg&list=PLsS_1RYmYQQHp_xZObt76dpacY543GrJD&index=3
MIT License
456 stars 101 forks source link

bug #56

Closed DmytroSvit closed 5 months ago

DmytroSvit commented 6 months ago

config = {'algorithm': 'C4.5'} #Set algorithm to ID3, C4.5, CART, CHAID or Regression model = chef.fit(df, config)

this code does not work with the newest pandas library. exception occurs. with pandas 1.5.3 everything good.

serengil commented 5 months ago

try with chefboost's new 18 version