CVXR: Logistic-class – R documentation

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Logistic-class

The Logistic class.

Description

This class represents the elementwise operation \log(1 + e^x). This is a special case of log(sum(exp)) that evaluates to a vector rather than to a scalar, which is useful for logistic regression.

Usage

Logistic(x)

## S4 method for signature 'Logistic'
to_numeric(object, values)

## S4 method for signature 'Logistic'
sign_from_args(object)

## S4 method for signature 'Logistic'
is_atom_convex(object)

## S4 method for signature 'Logistic'
is_atom_concave(object)

## S4 method for signature 'Logistic'
is_incr(object, idx)

## S4 method for signature 'Logistic'
is_decr(object, idx)

## S4 method for signature 'Logistic'
.grad(object, values)

Arguments

`x`	An Expression or numeric constant.
`object`	A Logistic object.
`values`	A list of numeric values for the arguments
`idx`	An index into the atom.

Methods (by generic)

to_numeric: Evaluates e^x elementwise, adds one, and takes the natural logarithm.
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 weakly increasing.
is_decr: The atom is not weakly decreasing.
.grad: Gives the (sub/super)gradient of the atom w.r.t. each variable

Slots

x: An Expression or numeric constant.

CVXR

Disciplined Convex Optimization

v1.0-10

Apache License 2.0 | file LICENSE

Authors

Anqi Fu [aut, cre], Balasubramanian Narasimhan [aut], David W Kang [aut], Steven Diamond [aut], John Miller [aut], Stephen Boyd [ctb], Paul Kunsberg Rosenfield [ctb]

Initial release