Technical requirements

In this chapter, we will learn how to track hyperparameter tuning experiments with various packages. To ensure that you can reproduce the code examples in this chapter, you will require the following:

• The Python 3 (version 3.7 or above)
• The pandas package (version 1.3.4 or above)
• The NumPy package (version 1.21.2 or above)
• The scikit-learn package (version 1.0.1 or above)
• The matplotlib package (version 3.5.0 or above)
• The Plotly package (version 4.0.0 or above)
• The Neptune-client package (version 0.16.3 or above)
• The Neptune-optuna package (version 0.9.14 or above)
• The Scikit-Optimize package (version 0.9.0 or above)
• The TensorFlow package (version 2.4.1 or above)
• The Optuna package (version 2.10.0 or above)
• The MLflow package (version 1.27.0 or above)

All the code examples for this chapter can be found on GitHub at https://github.com/PacktPublishing/Hyperparameter-Tuning-with-Python.