Write a Custom Predictor
Plug your own preprocessing and model code in.
When Built-ins Fall Short
The built-in runtimes cover sklearn, PyTorch, and friends. But when your model needs special logic, you write your own. A custom predictor gives you full control. 🛠️
It Is Just a Container
A custom predictor is your own container image that speaks the KServe protocol. You package your code, model, and dependencies into one image and hand it to KServe.
All lessons in this course
- The InferenceService Resource
- Scale to Zero and Back Up
- Write a Custom Predictor
- KServe vs Seldon Core