Hi,
I have a defaultdict which I have initialized as follows:
def train(features):
model = collections.defaultdict(lambda: 1)
for f in features:
model[f] += 1
return model
def_dict = train(large_set_of_words)
where large_set_of_words is the list of possible strings.
I'd like to use such a default_dict as follows:
return max(list_of_strings, key=lambda w: dic[w])
that is, among the strings in list_of_strings, I'd like to return the
one with the highest score in def_dict.
The problem with such approach is that if the list_of_strings contains
a string that is not part of the def_dict, such a string gets added to
it while I'd like to keep the original def_dict unchanged/frozen.
Do you have any suggestion on how to do that?
Thanks and regards
Francesco
P.S. the code above is part from Norvig's spelling corrector
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