Technical requirements

This chapter requires the following Python libraries:

• numpy (1.23.5)
• pandas (1.5.3)
• scikit-learn (1.2.1)
• sktime (0.24.0)
• torch (2.0.1)
• pytorch-forecasting (1.0.0)
• pytorch-lightning (2.1.0)
• gluonts (0.13.5)
• neuralforecast (1.6.0)

You can install these libraries in one go using pip:

pip install -U pandas numpy scikit-learn sktime torch pytorch-forecasting pytorch-lightning gluonts neuralforecast

The code for this chapter can be found at the following GitHub URL: https://github.com/PacktPublishing/Deep-Learning-for-Time-Series-Data-Cookbook.