Python ClassifiedStream.drop_collection Examples

Example #1

File: test_classifierWorker.py Project: BastinRobin/streamcrab

 def setUp(self):
     super(TestClassifierWorker, self).setUp()
     self.cls = nltk.NaiveBayesClassifier.train([({'a': 'a', 'b': 'b'}, 'positive')])
     self.data = []
     for i in range(5):
         d = RawStreamQueue()
         d.source = 'test'
         d.original = {}
         d.text = "this is a test"
         self.data.append(d)
     ClassifiedStream.drop_collection()

Example #2

 def setUp(self):
     super(TestClassifierWorker, self).setUp()
     self.cls = nltk.NaiveBayesClassifier.train([({
         'a': 'a',
         'b': 'b'
     }, 'positive')])
     self.data = []
     for i in range(5):
         d = RawStreamQueue()
         d.source = 'test'
         d.original = {}
         d.text = "this is a test"
         self.data.append(d)
     ClassifiedStream.drop_collection()

Example #3

 def tearDown(self):
     ClassifiedStream.drop_collection()

Example #4

File: test_classifierWorker.py Project: BastinRobin/streamcrab

 def tearDown(self):
     ClassifiedStream.drop_collection()
     RawStreamQueue.drop_collection()