muffled_utils.py 文件源码

def calc_specialist_weights(numsamps):
    """
    Calculates vector of specialist weights.
    Args:
        numsamps: A nonnegative vector of ints, specifying the number of samples on which each specialist predicts.
    Returns:
        A vector of floats specifying each specialist's weight (1/(fraction of data supported)). 
        If numsamps[i] == 0 for some specialist i, the corresponding weight will be 0. 

    Note that the return value is invariant to the scaling of numsamps by a positive constant. 
    Similarly, calculating numsamps using a uniform random subsample of a dataset 
    will result in approximately the same return value as using the full dataset.
    """
    weights = 1.0/numsamps
    weights[np.isinf(weights)] = 0.0
    return np.max(numsamps)*weights