The KLDiv class.

Source: R/elementwise.R

The elementwise KL-divergence \(x\log(x/y) - x + y\).

KLDiv(x, y)

# S4 method for class 'KLDiv'
to_numeric(object, values)

# S4 method for class 'KLDiv'
sign_from_args(object)

# S4 method for class 'KLDiv'
is_atom_convex(object)

# S4 method for class 'KLDiv'
is_atom_concave(object)

# S4 method for class 'KLDiv'
is_incr(object, idx)

# S4 method for class 'KLDiv'
is_decr(object, idx)

# S4 method for class 'KLDiv'
.grad(object, values)

# S4 method for class 'KLDiv'
.domain(object)

Arguments

x

An Expression or numeric constant.

y

An Expression or numeric constant.

object

A KLDiv object.

values

A list of numeric values for the arguments

idx

An index into the atom.

Methods (by generic)

  • to_numeric(KLDiv): The KL-divergence evaluted elementwise on the input value.

  • sign_from_args(KLDiv): The atom is positive.

  • is_atom_convex(KLDiv): The atom is convex.

  • is_atom_concave(KLDiv): The atom is not concave.

  • is_incr(KLDiv): The atom is not monotonic in any argument.

  • is_decr(KLDiv): The atom is not monotonic in any argument.

  • .grad(KLDiv): Gives the (sub/super)gradient of the atom w.r.t. each variable

  • .domain(KLDiv): Returns constraints describng the domain of the node

Slots

x

An Expression or numeric constant.

y

An Expression or numeric constant.