regularization.py 文件源码

def regularize(features):

    #regularize per column
    for i in range(0,len(features[0])):
    try:
            #take evary column
            feat=features[:,i]

            #mean and variance of every column  
            mean=np.mean(feat)
            var=np.var(feat)

            if(var!=0):
                features[:,i]=(features[:,i]-mean)/float(3*var)
            else :
                features[:,i]=0
    except:
        pass

    features[features>1]=1
    features[features<-1]=-1

    return features

#reguralize features to [-1,1] horizontally, yi=yi/norm(yi,2)