distributions.py 文件源码

def __init__(self, mean, covariance, randomstate=None):
        self.__mean = npu.immutablecopyof(npu.tondim1(mean))
        self.__covariance = npu.immutablecopyof(npp.checkshapeissquare(npu.tondim2(covariance)))
        self.__randomstate = npu.getrandomstate() if randomstate is None else randomstate
        self.__impl = stats.multivariate_normal(self.__mean, self.__covariance)