nnleastsquare.py 文件源码

def proposal(X, W, Centroids, bandwidth):
    d = np.zeros_like(X)
    for c in xrange(Centroids.shape[0]):
        d += norm(Centroids[c], bandwidth).pdf(X) * W[c]
    d /= np.sum(W)
    return d