---
sidebar_position: 5
description: Reference for MCGrad hyperparameter tuning. Optimize MCGrad parameters for your dataset.
---

# Tuning

Hyperparameter tuning for calibration methods.

:::info Full API Reference
For complete API documentation with all parameters, return types, and detailed docstrings, see the [Sphinx API Reference](https://mcgrad.readthedocs.io/en/latest/api/tuning.html).
:::

## Overview

The tuning module provides tools for optimizing hyperparameters of calibration methods using techniques like Bayesian optimization.

See the [source code](https://github.com/facebookincubator/MCGrad/blob/main/src/mcgrad/tuning.py) for implementation details.
