c35829c9a7624fe9722543fb874d0aa2a7b8fb61,pyglmnet/pyglmnet.py,,_gradhess_logloss_1d,#Any#Any#Any#Any#Any#Any#,303

Before Change

        grad_mu = _grad_mu(distr, z, eta)
        hess_mu = np.exp(-z)/expit(z)**2

        partial_beta_a =hess_mu * (1 + np.log(mu + r))
        partial_beta_b = grad_mu ** 2 / (mu + r)
        partial_beta_c =  y * (hess_mu / mu - (grad_mu) ** 2 / mu ** 2)

        gk = -np.sum(partial_beta_a+partial_beta_b+partial_beta_c)
        hk = -np.sum(np.dot(partial_beta_a.T, xk)+np.dot(partial_beta_b.T, xk)+np.dot(partial_beta_c.T, xk))

    elif distr == "gamma":
        raise NotImplementedError("cdfast is not implemented for Gamma "

After Change

        grad_mu = _grad_mu(distr, z, eta)
        hess_mu = np.exp(-z)*expit(z)**2

        partial_beta_0_1 = hess_mu*((r+y)/(r+mu)-(y/mu))
        partial_beta_0_2 = grad_mu**2 * (y/mu**2 - (r+y)/(r+mu)**2)
        partial_beta_0 = partial_beta_0_1+partial_beta_0_2
        gk = np.sum(partial_beta_0)
        hk = np.dot(partial_beta_0.T, xk**2)

    elif distr == "gamma":
        raise NotImplementedError("cdfast is not implemented for Gamma "

Instances