我試圖從類似于此的數(shù)據(jù)框中提取一些特征：feature1:float feature2:float feature3:string succeeded:boolean我遠(yuǎn)不是該主題的專家，但我嘗試了以下操作：from sklearn.feature_extraction.text import CountVectorizerimport scipy as spvectorizer = CountVectorizer()vectorizer.fit(small_df.feature3)X = sp.sparse.hstack( (vectorizer.transform(small_df.feature3),                 small_df[['feature1', 'feature2']),                 format='csr')X_columns = vectorizer.get_feature_names() + df[cols].columns.tolist()但是，我最終遇到以下錯(cuò)誤： TypeError: no supported conversion for types: (dtype('int64'), dtype('O'))任何幫助，將不勝感激！