dPReLU: Derivatives Parametric ReLU Activation Function

In nlmixr2/rxode2: Facilities for Simulating from ODE-Based Models

Derivatives Parametric ReLU Activation Function

Description

Derivatives Parametric ReLU Activation Function

Usage

dPReLU(x, alpha = 1)

dPReLUa(x, alpha = 1)

dPReLUa1(x, alpha = 1)

Arguments

x	A numeric vector. All elements must be finite and non-missing.
alpha	A numeric scalar. All elements must be finite and non-missing.

Value

A numeric vector where the derivative(s) of the ELU function has been applied to each element of x.

Author(s)

Matthew L. Fidler

See Also

Other Activation Functions: ELU(), GELU(), PReLU(), ReLU(), SELU(), Swish(), dELU(), dGELU(), dReLU(), dSELU(), dSwish(), dlReLU(), dsoftplus(), lReLU(), softplus()

Examples

dPReLU(c(-1, 0, 1, 2), 2)
dPReLUa(c(-1, 0, 1, 2), 2)
dPReLUa1(c(-1, 0, 1, 2), 2)


# Can also be used in rxode2:
r <- rxode2({
  r1=dPReLU(time, 2)
  r2a=dPReLUa(time, 2)
  ra=dPReLUa1(time, 2)
})

e <- et(c(-1, 0, 1, 2))
rxSolve(r, e)

nlmixr2/rxode2 documentation built on Jan. 11, 2025, 8:48 a.m.