本文整理汇总了Python中classifier.Classifier.update_joint_apriori方法的典型用法代码示例。如果您正苦于以下问题：Python Classifier.update_joint_apriori方法的具体用法？Python Classifier.update_joint_apriori怎么用？Python Classifier.update_joint_apriori使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类classifier.Classifier的用法示例。
在下文中一共展示了Classifier.update_joint_apriori方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: TestParser
# 需要导入模块: from classifier import Classifier [as 别名]
# 或者: from classifier.Classifier import update_joint_apriori [as 别名]
class TestParser(unittest.TestCase):
def setUp(self):
#Sentence is : 3 times, This sentence: 2 times - case insensitive
self.text = "Line1: Sentence is! This sentence isn't no3.\n" \
"Line2 starts here. This sentence is 4, ok?\r\n" \
"There are two bigrams repeating above"
self.sentencesWithoutStemming = \
[ "line1 sentence is", "this sentence isnt no3",
"line2 starts here", "this sentence is 4 ok",
"there are two bigrams repeating above"]
self.num_bigrams = 14 #the unique ones
self.num_sentences = 5
#Classifier class, encapsulates the 'update_bigrams' method, so:
self.classifier = Classifier(verbose=True)
def test_split_sentences(self):
sentences = split_sentences(self.text)
self.assertEqual(type(sentences).__name__, 'list')
self.assertEqual(len(sentences), self.num_sentences)
def test_remove_stemming(self):
sentences = split_sentences(self.text)
sentencesWithoutStemming = remove_stemming (sentences)
#print sentencesWithoutStemming
self.assertItemsEqual (sentencesWithoutStemming,
self.sentencesWithoutStemming)
def test_make_bigrams(self):
sentences = split_sentences(self.text)
sentencesWithoutStemming = remove_stemming (sentences)
allBigrams = defaultdict(int)
for s in sentencesWithoutStemming:
self.assertIsInstance(s, str)
newBigrams = make_bigrams(s)
#print '\n\n'
#for k,v in newBigrams.items():
#print k,v
self.assertIsInstance(newBigrams, defaultdict)
merge_and_sum_bigrams(allBigrams, newBigrams)
self.classifier.update_joint_apriori(allBigrams)
#for k,v in self.classifier.apriori.items():
#print k,v
self.assertEqual (len(allBigrams), self.num_bigrams)
def assertDictEqual(self, d1, d2, msg=None): # assertEqual uses for dicts
for k,v1 in d1.iteritems():
self.assertIn(k, d2, msg)
v2 = d2[k]
if(isinstance(v1, collections.Iterable) and
not isinstance(v1, basestring)):
self.assertItemsEqual(v1, v2, msg)
else:
self.assertEqual(v1, v2, msg)
return True
def test_save_load(self):
sentences = split_sentences(self.text)
sentencesWithoutStemming = remove_stemming (sentences)
allBigrams = defaultdict(int)
for s in sentencesWithoutStemming:
newBigrams = make_bigrams(s)
merge_and_sum_bigrams(allBigrams, newBigrams)
self.classifier.update_joint_apriori(allBigrams)
for k,v in self.classifier.apriori.items():
print k,v
self.classifier.save('testC')
newClassifier = Classifier()
newClassifier.load('testC')
#self.assertDictEqual(self.classifier.apriori, newClassifier.apriori)
print '\nCOMPARE\n'
for k,v in self.classifier.apriori.items():
print k,v
for k,v in newClassifier.apriori.items():
print k,v
print '\nEND OF COMPARE\n'
'''