MLOps: модели, которые выживают в продакшене · 4. Воспроизводимые тренировочные пайплайны
DEV · 13.11.2026 · 23:24
В этой главе обсуждается, как превратить ноутбук в решение, которое может работать без присмотра.
Оригинал
MLOps: models that survive production · 4. Reproducible training pipelines
MLOps: models that survive production · Chapter 4 of 12 · AI Engineering · new chapter every Thursday night By the end of this chapter: Turn a notebook into something that runs unattended. The problem Say you are a machine learning engineer who has spent weeks perfecting a model in a Jupyter notebook. You have tuned the hyperparameters, selected the best features, and achieved impressive accuracy on your training data. However, when you try to deploy the model to a production envir