diff --git a/docs/tutorials/preferential-optimization.rst b/docs/tutorials/preferential-optimization.rst index a192e883..ae662383 100644 --- a/docs/tutorials/preferential-optimization.rst +++ b/docs/tutorials/preferential-optimization.rst @@ -5,11 +5,11 @@ What is Preferential Optimization? ---------------------------------- Preferential optimization is a method for optimizing hyperparameters, focusing of human preferences, by determining which trial is superior when comparing a pair. -It differs from `human-in-the-loop optimization utilizing objective form widgets `_, +It differs from :ref:`human-in-the-loop optimization utilizing objective form widgets `, which relies on absolute evaluations, as it significantly reduces fluctuations in evaluators' criteria, thus ensuring more consistent results. In this tutorial, we'll interactively optimize RGB values to generate a color resembling a "sunset hue", -aligining with the problem setting in `this tutorial `_. +aligining with the problem setting in :ref:`this tutorial `. Familiarity with the tutorial ob objective form widgets may enhance your understanding. How to Run Preferential Optimization