1. LabelEncoder()
# 简单来说 LabelEncoder 是对不连续的数字或者文本进行编号 from sklearn.preprocessing import LabelEncoder le = LabelEncoder() le.fit([1,5,67,100]) le.transform([1,1,100,67,5]) array([0,0,3,2,1])
2. OneHotEncoder()
# OneHotEncoder 用于将表示分类的数据扩维: from sklearn.preprocessing import OneHotEncoder ohe = OneHotEncoder() ohe.fit([[1],[2],[3],[4]]) ohe.transform([2],[3],[1],[4]).toarray() [[0,1,0,0], [0,0,1,0], [1,0,0,0], [0,0,0,1]]