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��蝣� # 3嚗��刻悌蝏�桅�銝悌蝏� NB 璅∪�

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�冽�隞砍�憪��� Naive Bayes �� Python 隞��銋�嚗��挽雿歇蝏���

  1. Python �”

  2. Numpy 隞亙�銝��孵���隞��

  3. 摮

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霈拇�隞砌��葵�典��� Naive Bayes �園�閬�撖澆撘�憪�

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摰 NaiveBayes 蝐領���銋悌蝏�瘚��賣

���典�嚗�隞砍�銝� NB �掩�函���銝芸��券��誨���捏霈剔��唳�葉��撠掩嚗誑��摰�銋��祆�桅����隞�賢�霈剔�銝�銝芸��冽���璅∪� �� �� ��

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1\. def addToBow(self,example,dict_index)
2\. def train(self,dataset,labels)
3\. def getExampleProb(self,test_example)
4\. def test(self,test_set)

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1\. Training function that trains NB Model :
   def train(self,dataset,labels)
2\. Testing function that is used to predict class labels 
   for the given test examples :
   def test(self,test_set)

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1\. BoW function that supplements training function 
   It is called by the train function.
   It simply splits the given example using space as a tokenizer 
   and adds every tokenized word to its corresponding BoW : 
   def addToBow(self,example,dict_index)
2\. Probability function that supplements test function. 
   It is called by the test function.
   It estimates probability of the given test example so that 
   it can be classified for a class label :
   def getExampleProb(self,test_example)

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