Gradient descent optimizer

This class defines gradient descent

Super classes

vistool::Optimizer -> vistool::OptimizerMomentum -> OptimizerGD

Active bindings

momentum

(`numeric(1)`) Momentum of the algorithm.

Methods

Public methods

• OptimizerGD$new()

• OptimizerGD$clone()

Inherited methods

• vistool::Optimizer$prepareUpdateForArchive()
• vistool::Optimizer$setX()
• vistool::Optimizer$updateArchive()
• vistool::OptimizerMomentum$optimize()
• vistool::OptimizerMomentum$update()

---

Method new()

Creates a new instance of this [R6][R6::R6Class] class.

Usage

OptimizerGD$new(
  objective,
  x_start,
  lr = 0.01,
  id = "Gradient Descent",
  print_trace = TRUE
)

Arguments

objective

(`Objective`)
The objective to optimize.

x_start

(`numeric()`)
Start value of the optimization. Note, after the first call of `$optimize()` the last value is used to continue optimization. Get this value with `$x`.

lr

(`numeric(1)`)
Step size with which the update is multiplied.

id

(`character(1)`)
Id of the object.

print_trace

(`logical(1)`)
Indicator whether to print the status of `$optimize()`.

---

Method clone()

The objects of this class are cloneable with this method.

Usage

OptimizerGD$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.