parameters: (fileName, data)
return_statement: return s
docstring: returns a trained SVM object constructed from a saved SVM model.
      You also need to provide the data on which the SVM was originally trained.
docstring_summary: returns a trained SVM object constructed from a saved SVM model.
      You also need to provide the data on which the SVM was originally trained.
docstring_tokens: returns a trained SVM object constructed from a saved SVM model . You also need to provide the data on which the SVM was originally trained .
function: def loadSVM(fileName, data) :
      """
      returns a trained SVM object constructed from a saved SVM model.
      You also need to provide the data on which the SVM was originally trained.
      """
  
      s = SVM()
      s.load(fileName, data)
      return s
function_tokens: def loadSVM ( fileName , data ) : s = SVM ( ) s . load ( fileName , data ) return s