gradient: Evaluate gradient of target functional depending on model.

In umbridge: Integration for the UM-Bridge Protocol

Evaluate gradient of target functional depending on model.

Description

Evaluate gradient of target functional depending on model.

Usage

gradient(
  url,
  name,
  out_wrt,
  in_wrt,
  parameters,
  sens,
  config = jsonlite::fromJSON("{}")
)

Arguments

url	URL the model is running at.
name	Name of the desired model.
out_wrt	Output variable to take gradient with respect to.
in_wrt	Input variable to take gradient with respect to.
parameters	Model input parameter (a list of vectors).
sens	Sensitivity of target functional with respect to model output.
config	Model-specific configuration options.

Value

Gradient of target functional.

umbridge documentation built on Sept. 23, 2022, 9:05 a.m.