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Trying to compute cosine distance


This this code instead:

from math import sqrt
from collections import Counter

def forSearch():
    # Here it assumes that each key in search, is
also in words. 
    words =
{'bit':{1:3,2:4,3:19,4:0},'shoe':{1:0,2:0,3:0,4:0},'dog':{1:3,2:0,3:4,4:5},
'red':{1:0,2:0,3:15,4:0}}
    search = {'bit':1,'dog':3,'shoe':5}
    num_files = 4 # TODO: , figure this out
programatically



    # CALCULATE THE SIM(I,S), VALUES FOR I = 1 TO
NUM_FILES
    file_relevancy = Counter()
    c = sqrt(sum([x**2 for x in search.values()]))
    for i in range(1, num_files+1):
        words_ith_val = [words[x][i] for x in
search.keys() ]
        a = sum([search[key] * words[key][i] for
key in search.keys()])
        b = sqrt(sum([x**2 for x in
words_ith_val]))
        file_relevancy[i] = (a / (b * c))

    # RANK THE FILES AND RETURN
    return [x[0] for x in
file_relevancy.most_common(num_files)]


print forSearch()

Categories : Python

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