kumulant/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. Members Functions curvature Link copied to clipboard open override fun curvature(eta: Double): DoubleSecond derivative of the per-observation negative log-likelihood at eta. invMean Link copied to clipboard open override fun invMean(eta: Double): DoubleInverse link: maps the linear predictor eta to the response mean. loss Link copied to clipboard open override fun loss(eta: Double, y: Double): Doublemu - y * eta = exp(eta) - y * eta; drops the log(y!) constant. 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.