请帮帮我。我无法解决一个错误。我是Python机器学习的新手。对于任何建议我将不胜感激。
下面是我的代码，我编写它是为了预测一家公司的员工根据他们的性别、学历和驾照情况可能喜欢的交通方式：
Gender = preprocessing.LabelEncoder().fit_transform(df.loc[:,'Gender'])Engineer = preprocessing.LabelEncoder().fit_transform(df.loc[:,'Engineer'])MBA = preprocessing.LabelEncoder().fit_transform(df.loc[:,'MBA'])License = preprocessing.LabelEncoder().fit_transform(df.loc[:,'license'])Transport = preprocessing.LabelEncoder().fit_transform(df.loc[:,'Transport'])x,y = Gender.reshape(-1,1), Transportprint("\n\nGender:", Gender, "\n\nEngineer:", Engineer, "\n\nMBA:", MBA, "\n\nLicense:", license, "\n\nTransport:", Transport)model = GaussianNB().fit(x,y)a1 = input("\n\n Choose Gender : Male:1 or Female:0 = ")b1 = input("\n\n Are you an Engineer? : Yes:1 or No:0 = ")c1 = input("\n\n Have you done MBA? : Yes:1 or No:0 = ")d1 = input("\n\n Do you have license? : Yes:1 or No:0 = ")#store the output in y_predy_pred = model = model.predict([int(a1),int(b1),int(c1),int(d1)])#for loop to predict customizable outputif y_pred == [1]: print("\n\n You prefer Public Transport")else: print("\n\n You prefer Private Transport")这是我在最后阶段遇到的错误：
ValueError Traceback (most recent call last)<ipython-input-104-a14f86182731> in <module> 6 #store the output in y_pred 7 ----> 8 y_pred = model = model.predict([int(a1),int(b1),int(c1),int(d1)]) 9 10 #for loop to predict customizable output~\Anaconda3\lib\site-packages\sklearn\naive_bayes.py in predict(self, X) 63 Predicted target values for X 64 """---> 65 jll = self._joint_log_likelihood(X) 66 return self.classes_[np.argmax(jll, axis=1)] 67 ~\Anaconda3\lib\site-packages\sklearn\naive_bayes.py in _joint_log_likelihood(self, X) 428 check_is_fitted(self, "classes_") 429 --> 430 X = check_array(X) 431 joint_log_likelihood = [] 432 for i in range(np.size(self.classes_)):~\Anaconda3\lib\site-packages\sklearn\utils\validation.py in check_array(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, warn_on_dtype, estimator) 519 "Reshape your data either using array.reshape(-1, 1) if " 520 "your data has a single feature or array.reshape(1, -1) "--> 521 "if it contains a single sample.".format(array)) 522 523 # in the future np.flexible dtypes will be handled like object dtypesValueError: Expected 2D array, got 1D array instead:array=[1 1 0 1].Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample.下面是我的数据集结构：
<class 'pandas.core.frame.DataFrame'> Int64Index: 444 entries, 28 to 39 Data columns (total 8 columns): Gender 444 non-null object Engineer 444 non-null int64 MBA 444 non-null int64 Work Exp 444 non-null int64 Salary 444 non-null float64 Distance 444 non-null float64 license 444 non-null int64 Transport 444 non-null object dtypes: float64(2), int64(4), object(2) memory usage: 31.2+ KB回答：
