com.eignex.kumulant/stat/regression/glm/Link/Log Log @Serializable@SerialName(value = "Log")data object Log : Link(source)mu = exp(eta). Poisson likelihood; expects y >= 0. Functions curvature open override fun curvature(eta: Double): Double(source)Second derivative of the per-observation negative log-likelihood at eta. invMean open override fun invMean(eta: Double): Double(source)Inverse link: maps the linear predictor eta to the response mean. loss open override fun loss(eta: Double, y: Double): Double(source)mu - y * eta = exp(eta) - y * eta; drops the log(y!) constant.