Example #1
0
def computeDistanceVectors(mepsStats, mep1, mep2):
    similarity, nb_votes = similarity_vector_measure(mepsStats, mep1, mep2,
                                                     'COS')
    if nb_votes > 0:
        #similarity/=nb_votes if nb_votes>0 else 0.
        similarity /= nb_votes
    else:
        similarity = float('nan')
    distance = 1 - similarity
    return distance
def pairwiseComparaisonVectors(mepsStatistics, measure='COS'):

    for key1 in mepsStatistics.keys():
        for key2 in mepsStatistics[key1].keys():
            agree_prop, nb_votes = similarity_vector_measure(
                mepsStatistics, key1, key2, measure)
            if nb_votes > 0:
                similarity = agree_prop / nb_votes
            else:
                similarity = float('nan')
            distance = 1 - similarity
            mepsStatistics[key1][key2]['SIMILARITY'] = similarity
            mepsStatistics[key1][key2]['DISTANCE'] = distance

    return mepsStatistics
def get_sim_vectors(stats,user1,user2,comparaison_measure='COS'):
    agreementProp,nb_votes=similarity_vector_measure(stats, user1, user2, comparaison_measure)   
    return agreementProp,nb_votes