optimRSfun

objective function to be evaluated via random search.

bound on the independent variables (search space).

lower

upper

control

This function is used to emulate uniform random search with SPOT.
It is used as the optimizer that searches for new candidates.
It returns a single uniform random sample within
the given lower and upper bounds of the search space.

A set of tools for model-based optimization and tuning of
algorithms (hyperparameter tuning respectively hyperparameter optimization). It includes surrogate models, optimizers, and design of experiment
approaches. The main interface is spot, which uses sequentially updated
surrogate models for the purpose of efficient optimization. The main goal is
to ease the burden of objective function evaluations, when a single evaluation
requires a significant amount of resources.

Thomas Bartz-Beielstein

SPOT

optimRSfun: Random search surrogate-optimizer

Description

Usage

Arguments

Value