__init__ (vocab, vectors[, clusters]) |
Initialize a WordVectors class based on vocabulary and vectors |
analogy (pos, neg[, n]) |
Analogy similarity. |
cosine (word[, n]) |
Cosine similarity. |
from_binary (fname[, vocabUnicodeSize, ...]) |
Create a WordVectors class based on a word2vec binary file |
from_mmap (fname) |
Create a WordVectors class from a memory map |
from_text (fname[, vocabUnicodeSize, ...]) |
Create a WordVectors class based on a word2vec text file |
generate_response (indexes, metrics[, clusters]) |
Generates a pure python (no numpy) response based on numpy arrays |
get_vector (word) |
Returns the (vectors) vector for word in the vocabulary |
ix (word) |
Returns the index on self.vocab and self.vectors for word |
to_mmap (fname) |
|