Technical requirements
In this chapter, we will use the following Python libraries and versions to create model deployments and endpoints:
azureml-core 1.34.0
azureml-sdk 1.34.0
scikit-learn 0.24.2
joblib 1.0.1
numpy 1.19.5
tensorflow 2.6.0
pandas 1.3.3
requests 2.25.1
nvidia-smi 0.1.3
Similar to previous chapters, you can run this code using either a local Python interpreter or a notebook environment hosted in Azure Machine Learning. However, all scripts need to be scheduled to execute in Azure.
All code examples in this chapter can be found in the GitHub repository for this book: https://github.com/PacktPublishing/Mastering-Azure-Machine-Learning-Second-Edition/tree/main/chapter14.