coral_asset_discussion_score

gistfile1.txt

def asset_discussion_score(threads, k=1, theta=2):
    X = np.array([max_thread_width(t) * max_thread_depth(t) for t in threads])
    n = len(X)

    k = np.sum(X) + k
    t = theta/(theta*n + 1)

    return {'discussion_score': gamma_poission_model(X, n, k, theta, 0.05)}