forked from sarathjoseph/Neural-Network
/
trainer.py
36 lines (22 loc) · 957 Bytes
/
trainer.py
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from os import listdir as ls
class Network_Trainer(object):
def __init__(self, feat, folder, codes):
self.codes = codes
self.book = {}
self.train_set = []
self.features=feat
for item in ls(folder):
self.book[item] = ls(folder + "/" + item)
self.doc_count = len(self.book[self.codes.keys()[0]])
for i in range(self.doc_count):
for item in self.book:
f = open(folder + "/" + item + "/" + self.book[item][i])
text = f.read()
vector = []
for feature in feat.feature_list:
vector.append(feat.vectorize(feature, text))
vector.append(self.codes[item])
self.train_set.append(vector)
f.close()
def get_data(self):
return self.train_set