Dakota Reference Manual: soft_convergence_limit

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soft_convergence_limit

Maximum number of iterations without improvement in cross-validation

## Specification

Alias: none

Argument(s): INTEGER

Default: 0

## Description

The purpose of this control is to cease auto-refinement when improvement in the cross-validation score appears to have stalled or occurs too slowly.

A rolling average of improvement in the cross-validation score is computed over `soft_convergence_limit` iterations. Auto-refinement is halted if the average becomes smaller than the `convergence_tolerance`. The average is computed but ignored until the number of iterations has exceeded `soft_convergence_limit`.

The default setting of 0 disables soft convergence.