loss_smooth_res: Smooth Loss A loss function for when you want gradients and...
In edahelsinki/slise: Sparse Linear Subset Explanations

loss_smooth_res

R Documentation

Smooth Loss A loss function for when you want gradients and the residuals are already calculated

Smooth Loss A loss function for when you want gradients and the residuals are already calculated

loss_smooth_res(
  alpha,
  residuals2,
  epsilon2,
  beta,
  lambda1 = 0,
  lambda2 = 0,
  weight = NULL
)

`alpha`	The vector to calculate loss for
`residuals2`	Vector of squared residuals
`epsilon2`	The squared acceptable error
`beta`	The steepness of the sigmoid
`lambda1`	The L1 regulariser (default: 0)
`lambda2`	The L2 regulariser (default: 0)
`weight`	weight vector (default: NULL)