Fehler beim Ausführen Pearson Korrelationen Score in Python

Question

Ich bin neu in Python (PYTHON 2.7) und ich versuche, ein Programm ausführen, das Pearson Korrelationen berechnet. Der Code ist von der „kollektiven Intelligenz“ Wenn ich die Funktionen importieren und die Korrelation Pearson laufen

ich diesen Fehler erhalten:

>>> sim_pearson(critics, 
... 'Lisa Rose','Gene Seymour') 
Traceback (most recent call last): 
    File "<stdin>", line 2, in <module> 
    File "recommendations.py", line 49, in sim_pearson 
    sum1=sum([prefs[p1][it]] for it in si) 
TypeError: unsupported operand type(s) for +: 'int' and 'list' 
>>> 

der Code ist hier

#a dictionary of movie critics and their ratings of a small set of movies 
critics={'Lisa Rose': {'Lady in the Water': 2.5, 'Snakes on the Plane':3.5, 'Just My Luck': 1.5, 
         'superman returns': 5.0, 'You, Me and Dupree': 3.5}, 'Gene Seymour':{ 
         'Lady in the water':1.0,'Snakes on the Plane':3.5, 
         'superman returns':5.0, 'You, Me and Dupree':3.5}, 'Michale Philllips':{ 
         'Lady in the Water': 2.5, 'Snakes on the Plane':3.0, 'superman returns': 3.5, 
         'The Night Listenr': 4.0}, 'Cludia Puig':{'Snakes on the Plane':3.5, 'Just My Luck': 3.0, 
         'The Night Listenr': 4.5, 'superman returns': 4.0, 'You, Me and Dupree': 2.5}, 
         'Mick LaSalle':{'Lady in the Water': 3.0, 'Snakes on the Plane':4.0, 'Just My Luck': 2.0, 
         'The Night Listenr': 3.0, 'superman returns': 3.0, 'You, Me and Dupree': 2.0}, 
         'Jack Matthews': {'Lady in the Water': 3.0, 'Snakes on the Plane':4.0, 
         'The Night Listenr': 3.0, 'superman returns': 5.0, 'You, Me and Dupree': 3.5}, 
         'Toby':{'Snakes on a Plane': 4.5, 'You, Me Dupree':1.0,'superman returns':4.0}} 
#Returns a distance-based similarity score for person1 and p 
def sim_distance(prefs,person1,person2): 
#get the list of shared_items 
    si={} 
    for item in prefs[person1]: 
     if item in prefs[person2]: 
      si[item]=1 

    #if they have no rating in common returns zero 
    if len(si)==0: 
     return 0 
    #Add up the squares of all the differences 

    sum_of_squares=sum(pow(prefs[person1][item]-prefs[person2][item],2) 
    for item in prefs[person1] if item in prefs[person2]) 
    return 1/(1+sum_of_squares) 

#returns the pearson correlation coefficient for p1 and p2 
def sim_pearson(prefs,p1,p2): 
    #get list of mutually rated items 
    si={} 
    for item in prefs[p1]: 
     if item in prefs[p2]: si[item]=1 
     #find the number of elements 
    n=len(si) 
#if they are no ratings in common, return 0 
    if n==0: return 0 
#add up all the preferences 
    sum1=sum([prefs[p1][it]] for it in si)#reported line 49 
      #^ 
    sum2=sum(prefs[p2][it] for it in si) 
    #sum up the squares 
    sum1sq=sum([pow(prefs[p1][it] for it in si)]) 
    sum2sq=sum([pow(prefs[p2][it] for it in si)]) 
    #sum up the products 
    pSum=sum([prefs[p1][it]*prefs[p2][it] for it in si]) 
    #calculate peason score 
    num=pSum-(sum1*sum2/n) 
    den=sqrt((sum1Sq-pow(sum1,2)/n)*(sum2Sq-pow(sum2,2)/n)) 
    r=num/den 
    return r 

Answer 1

ich Sie denken, wollte schreiben

sum1=sum([prefs[p1][it] for it in si]) 

anstelle von

sum1=sum([prefs[p1][it]] for it in si) 

(siehe Klammern). Der Fehler bedeutet, dass Sie versuchen, sum ganze Zahlen mit Listen.