entropy_estimators.py 文件源码

def avgdigamma(points, dvec):
    # This part finds number of neighbors in some radius in the marginal space
    # returns expectation value of <psi(nx)>
    N = len(points)
    tree = ss.cKDTree(points)
    avg = 0.
    for i in range(N):
        dist = dvec[i]
        # subtlety, we don't include the boundary point,
        # but we are implicitly adding 1 to kraskov def bc center point is included
        num_points = len(tree.query_ball_point(points[i], dist - 1e-15, p=float('inf')))
        avg += digamma(num_points) / N
    return avg