Technical requirements

We’ll focus on the PyTorch ecosystem in this chapter. Here’s the full list of libraries that will be used in this chapter:

• NumPy (1.26.2)
• pandas (2.1.3)
• scikit-learn (1.3.2)
• PyTorch Forecasting (1.0.0)
• PyTorch Lightning (2.1.2)
• torch (2.1.1)
• statsforecast (1.6.0)
• GluonTS (0.14.2)
• gpytorch (1.11)
• prophet (1.1.5)

You can install these libraries using pip, Python’s package manager. For example, to install scikit-learn, you can run the following command:

pip install -U scikit-learn

The code for this chapter can be found in this book’s GitHub repository: https://github.com/PacktPublishing/Deep-Learning-for-Time-Series-Data-Cookbook.