Comments (4)
Technically, the indices
is bound by the vocabulary size and it falls into [0, vocab_size)
, it does not make sense for the appearance of 18864
.
from t2vec.
The vocab_size
of the preprocess ouputs is 18866
, I am wondering why you pass 18864
as the vocab_size
in parameter of the network?
When V
and D
matrixes are 18866 *k
demension, it is possible for some vocab_id
to select their k-nearest cell which id is 18864
& 18865
.
from t2vec.
The vocab_size
should be the output of your preprocessing step. That value might be slightly different depending on your Julia version, previously the code was written in Julia 0.6 which yields 18864.
from t2vec.
Ok I got it, thanks for your patient reply!
from t2vec.
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