在第二章學習決策樹時,在轉換titanic的特征時 碰到了這個問題,哪里出錯了
from sklearn.model_selection import train_test_split
X_train,X_test,y_train,y_test = train_test_split(X,y,test_size = 0.25,random_state = 33)
from sklearn.feature_extraction import DictVectorizer
vec = DictVectorizer(sparse = False)
X_train = vec.fit_transform(X_train.to_dict(orient = 'record'))
TypeError: float() argument must be a string or a number, not 'method'
轉載請註明出處,本文鏈接:https://www.uj5u.com/qita/103608.html
