The code examples in this chapter will be simpler to follow if you have the following installed and running on your machine:
- Postman or another API development tool
- A local Kubernetes cluster manager like minikube or kind
- The Kubernetes CLI tool,
There are several different
.yml files contained in the
Chapter08 folder in the book’s GitHub repo for the technical examples, as there are a few different sub-components. These are:
mlewp-chapter08-train: This specifies the environment for running the training scripts.
mlewp-chapter08-serve: This specifies the environment for the local FastAPI web service build.
mlewp-chapter08-register: This gives the environment specification for running the MLflow tracking server.
In each case, create the Conda environment, as usual, with:
conda env create –f <ENVIRONMENT_NAME>.yml
The Kubernetes examples in this...