checkForNAs

is an optional start point (or set of start points), specified as a matrix. One row for each point, and one column for each optimized parameter.

is a vector that defines the lower boundary of search space. This determines also the dimensionality of the problem.

lower

is a vector that defines the upper boundary of search space.

upper

Creates an error message if there are any NAs in x lower or upper

internal

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

checkForNAs: Check for NAs in x lower and upper

Description

Usage

Arguments