I find something wrong in the classifiers for tabular data,(https://marcotcr.github.io/lime/tutorials/Tutorial%20-%20continuous%20and%20categorical%20features.html)
'sklearn.preprocess.OneHotEncoder(categorical_features = categorical_features)' this can not be runned. it shows"Pass categories=[1,3,5,6,7,8,9,13] as keyword args. From version 1.0 (renaming of 0.25) passing these as positional arguments will result in an error
I find something wrong in the classifiers for tabular data,(https://marcotcr.github.io/lime/tutorials/Tutorial%20-%20continuous%20and%20categorical%20features.html)
'sklearn.preprocess.OneHotEncoder(categorical_features = categorical_features)' this can not be runned. it shows"Pass categories=[1,3,5,6,7,8,9,13] as keyword args. From version 1.0 (renaming of 0.25) passing these as positional arguments will result in an error