def prepare(self, train):
all_words = list(util.wordsFromQuestionList(train, self.ngram_cap))
self.wordIndices = {}
for idx, word in enumerate(all_words):
for syn in util.getSyns(word):
self.wordIndices[syn] = idx
self.vecDim = len(all_words)
def prepare(self, train):
all_words = list(util.wordsFromQuestionList(train))
self.wordIndices = {}
for idx, word in enumerate(all_words):
self.wordIndices[word] = idx
self.vecDim = len(all_words)
