parameters: (self, fileName)
docstring: save the trained classifier to a file.
          assumes the classifier is an SVM
docstring_summary: save the trained classifier to a file.
          assumes the classifier is an SVM
docstring_tokens: save the trained classifier to a file . assumes the classifier is an SVM
function: def save(self, fileName) :
          """save the trained classifier to a file.
          assumes the classifier is an SVM"""
          file_handle = open(fileName, 'w')
          for classifier in self.classifiers :
              classifier.save(file_handle)
function_tokens: def save ( self , fileName ) : file_handle = open ( fileName , 'w' ) for classifier in self . classifiers : classifier . save ( file_handle )