    allows us to normalize this natural variance away. 
    '''
    baseline = tree.kl_div_dirichlet_baseline(
        prior_weight,
        observation_weight,
        window_size,  
        sequence_count,
        sample_rate)
    goko_divs = {}

    """
    This is the actual object that computes the KL Divergence statistics between the samples we feed in and the new samples. 

    Internally, it is an evidence hashmap containing categorical distributions, and a queue of paths. 