Claire의 Daily Life

1. XML Library 설치
2. XML 파일 작성
3. XML 파일 저장

>>> import recommendations
>>> recommendations.topMatches(recommendations.critics,'Toby',n=3)

Traceback (most recent call last):
  File "<pyshell#1>", line 1, in <module>
    recommendations.topMatches(recommendations.critics,'Toby',n=3)
  File "C:\Python26\recommendations.py", line 71, in topMatches
    for other in prefs if other!=person]
  File "C:\Python26\recommendations.py", line 61, in sim_pearson
    den=sqrt((sum1Sq-pow(sum1,2)/n)*sum2Sq-pow(sum2,2)/n)
ValueError: math domain error



아ㅏㅏㅏㅏㅏㅏㅏㅏㅏㅏㅏㅏㅏㅏㅏㅏㅏㅏㅏㅏㅏㅏㅏㅏㅏㅏㅏㅏㅏㅏㅏㅏㅏㅏㅏ
궁금해 ㅠ.ㅠ


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헐...

강의실 컴에서는 안됐는데 내 랩탑에서는 실행되는 소스...

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recommendations.py

critics={'Lisa Rose': {'Lady in the Water': 2.5, 'Snakes on a Plane': 3.5,
'Just My Luck': 3.0, 'Superman Returns': 3.5, 'You, Me and Dupree': 2.5,
'The Night Listener': 3.0},
'Gene Seymour': {'Lady in the Water': 3.0, 'Snakes on a Plane': 3.5,
'Just My Luck': 1.5, 'Superman Returns': 5.0, 'The Night Listener': 3.0,
'You, Me and Dupree': 3.5},
'Michael Phillips': {'Lady in the Water': 2.5, 'Snakes on a Plane': 3.0,
'Superman Returns': 3.5, 'The Night Listener': 4.0},
'Claudia Puig': {'Snakes on a Plane': 3.5, 'Just My Luck': 3.0,
'The Night Listener': 4.5, 'Superman Returns': 4.0,
'You, Me and Dupree': 2.5},
'Mick LaSalle': {'Lady in the Water': 3.0, 'Snakes on a Plane': 4.0,
'Just My Luck': 2.0, 'Superman Returns': 3.0, 'The Night Listener': 3.0,
'You, Me and Dupree': 2.0},
'Jack Matthews': {'Lady in the Water': 3.0, 'Snakes on a Plane': 4.0,
'The Night Listener': 3.0, 'Superman Returns': 5.0, 'You, Me and Dupree': 3.5},
'Toby': {'Snakes on a Plane':4.5,'You, Me and Dupree':1.0,'Superman Returns':4.0}}

#from recommendations import *
#import recommendations

from math import sqrt

def sim_distance(prefs, person1, person2):
    si={}
    #condition : pick a movie as same
    for item in prefs[person1]:
        if item in prefs[person2]: si[item]=1

    if len(si)==0: return 0

    #if satisfied item under condition exist, excute this function
    #number = > figure to sum
    sum_of_squares=sum([pow(prefs[person1][item]-prefs[person2][item],2)
                        for item in prefs[person1] if item in prefs[person2]])
    #normalization
    return 1/(1+sqrt(sum_of_squares))

def sim_pearson(prefs, p1, p2):
    si={}
    for item in prefs[p1]:
        if item in prefs[p2]: si[item]=1

    if len(si)==0: return 0

    n=len(si)

    sum1=sum([prefs[p1][it] for it in si])
    sum2=sum([prefs[p2][it] for it in si])

    sum1Sq=sum([pow(prefs[p1][it],2) for it in si])
    sum2Sq=sum([pow(prefs[p2][it],2) for it in si])

    pSum=sum([prefs[p1][it]*prefs[p2][it] for it in si])

    num=pSum-(sum1*sum2/n)
    den=sqrt((sum1Sq-pow(sum1,2)/n)*sum2Sq-pow(sum2,2)/n)
    if den==0: return 0

    r=num/den

    return r
          

파이썬은 사용하기는 쉬운데... 오류 찾기가 까다롭다...

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