chapter 45
feature pipelines, experiment tracking, and registries
features, runs, configs, artifacts, and registries are how ml work becomes repeatable instead of a lucky notebook.
feature pipelines, experiment tracking, and registries
Repeatable ML work needs named features, tracked runs, saved artifacts, and registry decisions. This chapter turns the notebook trail into a product-shaped handoff.
The exercises use small Python dictionaries and lists so every check can run in the browser. Real-world tools may be larger, but the review shape stays the same: input, decision, evidence, blocker, and next step.
By the end of the chapter, learners should be able to turn this topic into a concrete handoff instead of a vague model claim.
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lessons in this chapter
- feature pipeline contractsfeature pipeline contractsfeature pipeline contractsfeature pipeline contractsfeature pipeline contractsfeature pipeline contractsfeature pipeline contractsfeature pipeline contractsfeature pipeline contractsfeature pipeline contractsfeature pipeline contracts
- train/inference skewtrain/inference skewtrain/inference skewtrain/inference skewtrain/inference skewtrain/inference skewtrain/inference skewtrain/inference skewtrain/inference skewtrain/inference skewtrain/inference skew
- experiment tracker liteexperiment tracker liteexperiment tracker liteexperiment tracker liteexperiment tracker liteexperiment tracker liteexperiment tracker liteexperiment tracker liteexperiment tracker liteexperiment tracker liteexperiment tracker lite
- model registry shapemodel registry shapemodel registry shapemodel registry shapemodel registry shapemodel registry shapemodel registry shapemodel registry shapemodel registry shapemodel registry shapemodel registry shape
- mission: feature pipeline and trackermission: feature pipeline and trackermission: feature pipeline and trackermission: feature pipeline and trackermission: feature pipeline and trackermission: feature pipeline and trackermission: feature pipeline and trackermission: feature pipeline and trackermission: feature pipeline and trackermission: feature pipeline and trackermission: feature pipeline and tracker