loss_sharp: Sharp Loss Function Exact loss function without gradients

In edahelsinki/slise: Sparse Linear Subset Explanations

Sharp Loss Function Exact loss function without gradients

Description

Sharp Loss Function Exact loss function without gradients

Usage

loss_sharp(alpha, X, Y, epsilon, lambda1 = 0, lambda2 = 0, weight = NULL)

Arguments

alpha	The vector to calculate loss for
X	The data matrix
Y	The response vector
epsilon	The acceptable error
lambda1	The L1 regulariser (default: 0)
lambda2	The L2 regulariser (default: 0)
weight	weight vector (default: NULL)

Value

The loss value

edahelsinki/slise documentation built on Aug. 24, 2023, 11:03 p.m.