为什么会发生“TypeError: 'numpy.ndarray' object is not callable”以及如何解决？

我目前正在从 tensorflow 系列学习机器学习。在这种情况下是关于文本分类的。正如您在代码中看到的，我已经训练了模型并将其保存为文件以进行测试。

加载保存的文件

modelFile = keras.models.load_model('model_text_classification.h5')

编码功能：

def review_encode(string):
  '''look up the mapping of all the words and return to us an encoded list'''

  encoded = [1] # start with 1 as a starting tag as the system with word_index['<START>'] = 1

  for word in string:
    if word in word_index:
      encoded.append(word_index[word.lower()])
    else:
      encoded.append(2) # as the END tag

  return encoded

预处理：

1. 该文件是一个大字符串，但我需要将其转换为编码的数字列表
2. 文本的大小最多只有 256 个字，因为这是我在训练数据时使用的方式

with open('lion_king.txt', encoding = 'utf-8') as f:
  for line in f.readlines():
    nline = line.replace(',', '').replace('.', '').replace('(', '').replace(')', '').replace('\"', '').replace(':', '')
    nline = nline.split(' ')

    # encode and trim the data down to 256 words
    encode = review_encode(nline)
    encode = keras.preprocessing.sequence.pad_sequences([encode], value = word_index['<PAD>'], padding = 'post', maxlen = 256) # [encode], because is expecting a list of lists

    # using the model to make a prediction
    predict = model.predict_classes(encode)

    print(line)
    print(encode)
    print(predict(encode[0])) #HERE IS ERROR

预期输出：将预测打印为 96% 正。
示例： [0.9655667]

完整的追溯：

TypeError                                 Traceback (most recent call last)
<ipython-input-58-790c338a89ce> in <module>()
     13     print(line)
     14     print(encode)
---> 15     print(predict(encode[0]))

TypeError: 'numpy.ndarray' object is not callable