utility.py 文件源码

python
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项目:DeepLearn 作者: GauravBh1010tt 项目源码 文件源码
def cal_sim(model,ind1,ind2=1999):
    view1 = np.load("test_v1.npy")[0:ind1]
    view2 = np.load("test_v2.npy")[0:ind2]
    label1 = np.load('test_l.npy')
    x1 = project(model,[view1,np.zeros_like(view1)])
    x2 = project(model,[np.zeros_like(view2),view2])
    label2 = []
    count = 0
    MAP=0
    for i,j in enumerate(x1):
        cor = []
        AP=0
        for y in x2:
            temp1 = j.tolist()
            temp2 = y.tolist()
            cor.append(pearsonr(temp1,temp2))
        #if i == np.argmax(cor):
        #    count+=1
        #val=[(q,(i*ind1+p))for p,q in enumerate(cor)]
        val=[(q,p)for p,q in enumerate(cor)]
        val.sort()
        val.reverse()
        label2.append(val[0:4])
        t = [w[1]for w in val[0:7]]
        #print t
        for x,y in enumerate(t):
            if y in range(i,i+5):
                AP+=1/(x+1)
        print(t)
        print(AP)
        MAP+=AP
    #print 'accuracy  :- ',float(count)*100/ind1,'%'
    print('MAP is : ',MAP/ind1)
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