Hyperparameter tuning can significantly improve the performance of machine learning models. In this tutorial, we'll use Optuna library to optimize the hyperparameters of a simple PyTorch neural network model.
For demonstration and simplicity, we'll use the Iris dataset for classification and optimize the model's hyperparameters. This tutorial will cover:
- Introduction to Optuna
- Preparing the data
- Defining the objective function
- Creating study object and running
- Conclusion
Let's get started.