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Commit 5c0d03fa authored by Fize Jacques's avatar Fize Jacques
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Optimisation on ngram embedding

parent d21f632d
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......@@ -73,7 +73,7 @@ class NgramIndex():
self.index_ngram[self.cpt]=ngram
def encode(self,word):
def encode(self,word,complete=True):
"""
Return a ngram representation of a word
......@@ -93,6 +93,8 @@ class NgramIndex():
ngrams = [ng for ng in ngrams if ng.count(self.empty_char)<2]
if not self.loaded:
[self.add(ng) for ng in ngrams if not ng in self.ngram_index]
if not complete:
return [self.ngram_index[ng] for ng in ngrams if ng in self.ngram_index]
return self.complete([self.ngram_index[ng] for ng in ngrams if ng in self.ngram_index],self.max_len)
def complete(self,ngram_encoding,MAX_LEN,filling_item=0):
......@@ -136,7 +138,8 @@ class NgramIndex():
np.array
embedding matrix
"""
model = Word2Vec([[str(w) for w in t] for t in texts], size=dim,window=5, min_count=1, workers=4,**kwargs)
sentences = SentenceIterator(self,texts,True)
model = Word2Vec(sentences, size=dim,window=5, min_count=1, workers=4,**kwargs)
N = len(self.ngram_index)
embedding_matrix = np.zeros((N,dim))
for i in range(N):
......@@ -227,3 +230,29 @@ class NgramIndex():
new_obj.max_len = data["max_len_state"]
return new_obj
class SentenceIterator:
"""Iterator that counts upward forever."""
def __init__(self, ng_encoder, input_,cast_str = False):
self.ng_encoder = ng_encoder
self.input = input_
self.i = -1
self.cast_str = cast_str
def __iter__(self):
self.i = -1
return self
def __len__(self):
return len(self.input)
def __next__(self):
try:
self.i +=1
if not self.cast_str:
return self.ng_encoder.encode(self.input[self.i])
else:
return list(map(str,self.ng_encoder.encode(self.input[self.i])))
except:
raise StopIteration
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