code: def UpdateSet(self, dataset):
          
          for data in dataset:
              for hypo in self.Values():
                  like = self.Likelihood(data, hypo)
                  self.Mult(hypo, like)
          return self.Normalize()
docs: Updates each hypothesis based on the dataset.
  
          This is more efficient than calling Update repeatedly because
          it waits until the end to Normalize.
  
          Modifies the suite directly; if you want to keep the original, make
          a copy.
  
          dataset: a sequence of data
  
          returns: the normalizing constant