findEvalBestPears.py 文件源码

def runScript(query_dist,dm_dict,pears_ids):
    best_pears=[]

    #############################################################
    #Calculate score for each pear in relation to the user query
    #############################################################

    if len(query_dist) > 0: 
        pears_scores={}
        for pear_name,v in pears_ids.items():
            scoreSIM = 0.0      #Initialise score for similarity
            score=cosine_similarity(np.array(v),query_dist)
            if not isnan(score):
                pears_scores[pear_name]=score
                print pear_name,score   
        best_pears=outputBestPears(pears_scores)
    return best_pears