Python 预处理=pickle.load（例如预处理）属性错误：Can'；t获取属性'；示例测试'；on<；模块'__主&'&燃气轮机；

下面是我正在尝试运行的python脚本。 这是我试图腌制的文件

'''

类示例\u测试：

def example_preprocess(self, example):
    self.example = example
    EX_DATA_FILE = 'E:/Users/Rushant Narula/Minor Project/Using Basic Approach/02_Training/example-data.txt'
    data = [[example]]
    example_df = pd.DataFrame(data, columns = ['Message'])
    ex_y = [0]
    example_df['Category'] = ex_y
    ex_nested_list = example_df.Message.apply(clean_message)
    ex_stemmed_nested_list = example_df.Message.apply(clean_message)
    ex_flat_stemmed_list = [item for sublist in ex_stemmed_nested_list for item in sublist]
    ex_word_column_df = pd.DataFrame.from_records(ex_stemmed_nested_list.tolist())
    ex_sparse_df = make_sparse_matrix(ex_word_column_df, word_index, example_df['Category'])
    ex_grouped = ex_sparse_df.groupby(['DOC_ID', 'WORD_ID', 'LABEL']).sum().reset_index()

    np.savetxt(EX_DATA_FILE, ex_grouped, fmt= '%d')
    preprocessing = Example_test()
    outfile = open("processing.pkl", "wb")
    pickle.dump(preprocessing, outfile)
    outfile.close()

'''

这是我正在取消勾选文件的文件。 '''

'''

def ValuePredictor(to_predict):
    example_preprocess = open('processing.pkl','rb') 
    preprocess = pickle.load(example_preprocess)

    example_train = open('train.pkl', 'rb')
    train = pickle.load(example_train)
    
    example_test = open('test.pkl', 'rb')
    test = pickle.load(example_test)
    
    ex_preprocess = preprocess.example_preprocess(to_predict)
    ex_train = train.example_train()
    ex_test = test.example_test()
    
    return ex_test