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<p>我正在尝试使用<strong>Google Colab</strong>中的IMDb数据集实现二进制分类示例。我以前实现过这个模型。但当我几天后再次尝试执行此操作时,它返回了一个值错误:“当load_data()函数的allow_pickle=False时,无法加载对象数组。”。</p>
<p>我已经尝试过解决这个问题,引用了一个类似问题的现有答案:<a href="https://stackoverflow.com/questions/55824625/how-to-fix-object-arrays-cannot-be-loaded-when-allow-pickle-false-in-the-sketc?answertab=votes#tab-top">How to fix 'Object arrays cannot be loaded when allow_pickle=False' in the sketch_rnn algorithm</a>
但事实证明,仅仅添加allow_pickle参数是不够的。</p>
<p>我的代码:</p>
<pre><code>from keras.<a href="https://www.cnpython.com/pypi/dataset" class="inner-link">dataset</a>s import imdb
(train_data, train_labels), (test_data, test_labels) = imdb.load_data(num_words=10000)
</code></pre>
<p>错误:</p>
<pre><code>ValueError Traceback (most recent call last)
<ipython-input-1-2ab3902db485> in <module>()
1 from keras.datasets import imdb
----> 2 (train_data, train_labels), (test_data, test_labels) = imdb.load_data(num_words=10000)
2 frames
/usr/local/lib/python3.6/dist-packages/keras/datasets/imdb.py in load_data(path, num_words, skip_top, maxlen, seed, start_char, oov_char, index_from, **kwargs)
57 file_hash='599dadb1135973df5b59232a0e9a887c')
58 with np.load(path) as f:
---> 59 x_train, labels_train = f['x_train'], f['y_train']
60 x_test, labels_test = f['x_test'], f['y_test']
61
/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py in __getitem__(self, key)
260 return format.read_array(bytes,
261 allow_pickle=self.allow_pickle,
--> 262 pickle_kwargs=self.pickle_kwargs)
263 else:
264 return self.zip.read(key)
/usr/local/lib/python3.6/dist-packages/numpy/lib/format.py in read_array(fp, allow_pickle, pickle_kwargs)
690 # The array contained Python objects. We need to unpickle the data.
691 if not allow_pickle:
--> 692 raise ValueError("Object arrays cannot be loaded when "
693 "allow_pickle=False")
694 if pickle_kwargs is None:
ValueError: Object arrays cannot be loaded when allow_pickle=False
</code></pre>