binomial.py 文件源码

def bino_da2p(y, da):
    """For a given vector label, get p-values of a decoding accuracy
    using the binomial law.

    Args:
        y : array
            The vector label

        da: int / float / list /array [0 <= da <= 100]
            The decoding accuracy array. Ex : da = [75, 33, 25, 17].

    Return:
        p: ndarray
            The p-value associate to each decoding accuracy
    """
    y = np.ravel(y)
    nbepoch = len(y)
    nbclass = len(np.unique(y))
    if not isinstance(da, np.ndarray):
        da = np.array(da)
    if (da.max() > 100) or (da.min() < 0):
        raise ValueError('Consider 0<=da<=100')
    return 1 - binom.cdf(nbepoch * da / 100, nbepoch, 1 / nbclass)