def getDocsTermsByClass(items):
a = []
# items = readDocsByClass(v)
for item in items:
word_array = utils.extractWords(item[5] + ' ' + item[6])
a.extend(utils.arrayToLowerAndUnique(word_array))
return a
def getTestFileToArray():
str = ''
fp = utils.openFile('test.txt')
for line in fp:
str += line
str = utils.toLower(str)
return utils.extractWords(str)
def getVocabulary():
a = []
items = readTrainingDataToArray()
for item in items:
word_array = utils.extractWords(item[5] + ' ' + item[6])
a.extend(utils.arrayToLowerAndUnique(word_array))
return a
def test():
fp = utils.openFile('test.txt')
str = utils.readFileToString(fp)
n = utils.extractWords(str)
array = ['Hello', 'hello', 'heLLO', 'Minh']
# print utils.arrayToLowerAndUnique(array)
# print n
# print helpers.getExamples()[1]
# print helpers.getDocsByClass(2)
# helpers.saveTerms("hello world", 1, 4.0)
# print len(helpers.getVocabulary())
return
