它说它已被弃用，将来会被删除。另一行说“请使用 tensorflow/transform 或 tf.data”。我搜索了互联网，但找不到答案。这是给我警告的行:
# Change texts into numeric vectors
vocab_processor = tf.contrib.learn.preprocessing.VocabularyProcessor(max_sequence_length,min_frequency=min_word_frequency)
最佳答案
我也没有解决。 一组解释在这里:
tf.contrib.learn.preprocessing:Deprecated. The python-only preprocessing functions are not a good fit for TensorFlow. Please use tf.data, and consider tensorflow/transform for more complex use cases.
https://github.com/tensorflow/tensorflow/blob/r1.8/tensorflow/contrib/learn/README.md
这个例子应该有所帮助......但它并没有解释太多 https://github.com/tensorflow/transform/blob/master/examples/sentiment_example.py
review_indices = tft.compute_and_apply_vocabulary(
review_tokens, top_k=VOCAB_SIZE)
关于python - TensorFlow VocabularyProcessor 的替代方案是什么？，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/49830843/