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eustin/letor-part-1-one-hot.py

Last active May 25, 2020 22:21
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letor-part-1-one-hot.py
num_classes = len(index_word)
index_one_hot = {i: tf.one_hot(x, depth=num_classes) \
for i, x in enumerate(index_word.keys())}
for k, v in index_one_hot.items():
word = index_word[k]
one_hot_vector = v.numpy()
print(f"{word:<6}: {one_hot_vector}")
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