linearAdaptedSE

numeric vector, old uncertainty values

sOld

matrix, new data points for which the uncertainty is estimated

newdata

matrix, already evaluated data points

Linearly adapt the uncertainty estimation of a CV model regarding its distance to known neighbours

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

linearAdaptedSE: linearAdaptedSE

Description

Usage

Arguments

Value