def pdf_link(self, inv_link_f, y, Y_metadata=None):
        """
        Likelihood function given inverse link of f.

        .. math::
            p(y_{i}|\\lambda(f_{i})) = \\lambda(f_{i})^{y_{i}}(1-f_{i})^{1-y_{i}}

        :param inv_link_f: latent variables inverse link of f.
        :type inv_link_f: Nx1 array
        :param y: data
        :type y: Nx1 array
        :param Y_metadata: Y_metadata not used in bernoulli
        :returns: likelihood evaluated for this point
        :rtype: float

        .. Note:
            Each y_i must be in {0, 1}
        """
        #objective = (inv_link_f**y) * ((1.-inv_link_f)**(1.-y))
        return np.where(y==1, inv_link_f, 1.-inv_link_f)
dataset/ETHPy150Open SheffieldML/GPy/GPy/likelihoods/bernoulli.py/Bernoulli.pdf_link/original