Finally, the Classifier

class Classifier:

def __init__(self, *nbclasses):

self.nbclasses = nbclasses

def prob(self, *d, best_only=True):

nbclasses = self.nbclasses

probability_list = []

for nbclass in nbclasses:

ftrs = nbclass.features

prob = 1

for i in range(len(ftrs)):

prob *= nbclass.probability_value_given_feature(d[i], ftrs[i])

probability_list.append( (prob, nbclass.name) )

prob_values = [f[0] for f in probability_list]