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MultiLayerPerceptron
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sort vocab building

This commit is contained in:
dadel 2018-01-20 22:22:10 +01:00
parent 551777b289
commit cb10ccbbc5
1 changed files with 4 additions and 2 deletions
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6
letters.py
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@ -67,7 +67,7 @@ class LettersData(object):
self.letters_classes = {}
"""dict of letters with vector representation of each letter"""
for letter, idx in self.letter_to_int.items():
for letter, idx in sorted(self.letter_to_int.items(), key=lambda x: x[0]):
cls = [0] * self.nb_vocab
cls[idx] = 1
self.letters_classes[letter] = cls
@ -89,7 +89,7 @@ class LettersData(object):
nb_vocab = len(subvocab)
self.letter_to_vector = {}
self.vector_to_letter = {}
for c in subvocab:
for c in sorted(subvocab):
vec = [0] * nb_vocab
vec[subvocab[c]['index']] = 1
subvocab[c]['vector'] = vec
@ -99,9 +99,11 @@ class LettersData(object):
def get_letter_of_vector(self, vector):
"""Get the letter corresponding to a given vector.
:param vector: a flatten list representing the vector representation of a letter
:return: the found letter else None
"""
ret = None
assert(type(vector) is list)
for letter, vec in self.letter_to_vector.items():
if vec == vector:
ret = letter