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Timestamp:
08/19/07 10:34:17 (15 months ago)
Author:
Tarek Ziad?? <tarek@…>
Message:

refactoring in progress

Files:
1 modified

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  • classifier/classifier.py

    r157 r159  
    4242        wich means: store words in categories 
    4343        """ 
    44         self.backend.addCategory(name=category, title=category) 
     44        self.backend.add_category(name=category) 
    4545        data = self.tokenizer.transform(data, self.options) 
    4646        for element in data: 
    47             self.backend.addWord(element, self.language, category) 
     47            self.backend.add_word(element, self.language, category) 
    4848 
    4949    def unlearn(self, data, category): 
     
    116116 
    117117    def corpusSize(self, language=None): 
    118         return self.backend.wordCount(language=language) 
     118 
     119        return self.backend.word_count(language=language) 
    119120 
    120121    def categorySize(self, category, language=None): 
    121         return self.backend.wordCount(category=category, language=language) 
     122        return self.backend.word_count(category=category, language=language) 
    122123 
    123124    def _buildWordProbabilities(self, language=None): 
    124125        probs = {} 
    125         for cat in self.backend.listCategories(): 
     126        for cat in self.backend.list_categories(): 
    126127            probs[cat] = self._buildCategoryWordProbabilities(cat, language) 
    127128        return probs 
     
    138139        them_count = float(max(corpus_size - category_size, 1)) 
    139140        probabilities = {} 
    140         words = self.backend.listWords(language, complete=True) 
     141        words = self.backend.list_words(language, complete=True) 
    141142 
    142143        for word in words: