def query_to_vector(self, q_terms, frequency=False,):
''' Converts query to a list alligned with our self.terms.
Terms not seen before will be ignored.
q_terms: list of query terms
frequency: return a multinomial or multivariate list?
'''
my_query_vector = SuperList()
my_query_vector.expand(new_len=len(self.terms))
for term in q_terms:
try:
term_idx = self.terms.index(term)
except:
# Term not seen before, skip
continue
#print term, self.terms.index(term)
if frequency:
my_query_vector.increment_after_padding(term_idx,1)
else:
my_query_vector.insert_after_padding(term_idx,1)
return my_query_vector
def query_to_vector(self, q_terms, frequency=False,):
''' Converts query to a list alligned with our self.terms.
Terms not seen before will be ignored.
q_terms: list of query terms
frequency: return a multinomial or multivariate list?
'''
my_query_vector = SuperList()
my_query_vector.expand(new_len=len(self.terms))
for term in q_terms:
try:
term_idx = self.terms.index(term)
except:
# Term not seen before, skip
continue
#print term, self.terms.index(term)
if frequency:
my_query_vector.increment_after_padding(term_idx,1)
else:
my_query_vector.insert_after_padding(term_idx,1)
return my_query_vector
