How to set the min_frequency while using tf.keras.preprocessing.text.tokenizer and ignore the words which are less then min_frequency?
The num_words actually helps in doing the same thing, here num_words will take the top num_words words with the highest frequency.
So, the functionality you got from min_frequency in tf.contrib.learn.preprocessing.VocabularyProcessor you can get the same but not in the same way though.
Is there any way to set the 'min_frequency' in tf.keras.preprocessing.text.tokenizer, just like the 'min_frequency' in tf.contrib.learn.preprocessing.VocabularyProcessor?