cg_default_library

<p>This is the default function library used by a computational graph. It implements all graph operators by base R functions.</p>

datasets

Allows to create, evaluate, and differentiate computational graphs in R. A computational graph is a graph representation of a multivariate function decomposed by its (elementary) operations. Nodes in the graph represent arrays while edges represent dependencies among the arrays. An advantage of expressing a function as a computational graph is that this enables to differentiate the function by automatic differentiation. The 'cgraph' package supports various operations including basic arithmetic, trigonometry operations, and linear algebra operations. It differentiates computational graphs by reverse automatic differentiation. The flexible architecture of the package makes it applicable to solve a variety of problems including local sensitivity analysis, gradient-based optimization, and machine learning.

Ron Triepels

cgraph

Computational Graphs

cg_default_library function

<p>An object of class <code>environment</code> of length 126.</p>

cg_default_library: Default Function Library

Description

Usage

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Format