The elementwise KL-divergence \(x\log(x/y) - x + y\).
KLDiv(x, y)# S4 method for KLDiv
to_numeric(object, values)
# S4 method for KLDiv
sign_from_args(object)
# S4 method for KLDiv
is_atom_convex(object)
# S4 method for KLDiv
is_atom_concave(object)
# S4 method for KLDiv
is_incr(object, idx)
# S4 method for KLDiv
is_decr(object, idx)
# S4 method for KLDiv
graph_implementation(object, arg_objs, size,
data = NA_real_)
A list of arguments to the atom.
An index into the atom.
A list of linear expressions for each argument.
A vector with two elements representing the size of the resulting expression.
A list of additional data required by the atom.
to_numeric
: The KL-divergence evaluted elementwise on the input value.
sign_from_args
: The atom is positive.
is_atom_convex
: The atom is convex.
is_atom_concave
: The atom is not concave.
is_incr
: The atom is not monotonic in any argument.
is_decr
: The atom is not monotonic in any argument.
graph_implementation
: The graph implementation of the atom.