Gensim: KeyedVectors.train()

Question

I downloaded Wikipedia word vectors from here. I loaded the vectors with:

model_160 = KeyedVectors.load_word2vec_format(wiki_160_path, binary=False)

and then want to train them with:

model_160.train()

I get the error back:

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-11-22a9f6312119> in <module>()
----> 1 model.train()

AttributeError: 'KeyedVectors' object has no attribute 'train'

My question is now: It seems like KeyedVectors has no train function, but I want to continue training the vectors on my personal sentences, instead of just using the Wikipedia vectors. How is this possible?

Thanks in advance, Jan

Answer 1

You can't use KeyedVectors for that. From the documentation:

Word vector storage and similarity look-ups.
The word vectors are considered read-only in this class.

And also:

The word vectors can also be instantiated from an existing file on disk in the word2vec C format as a KeyedVectors instance.
[...]
NOTE: It is impossible to continue training the vectors loaded from the C format because hidden weights, vocabulary frequency and the binary tree is missing.