Glossary term
Glossary term
Infrastructure and Serving
The infrastructure surrounding a machine learning algorithm. A pipeline includes gathering the data, putting the data into training data files, training one or more models, and exporting the models to production.
See ML pipelines in the Managing ML Projects course for more information.
Created for this library
An ML platform team treats every production model as a pipeline with versioned data, code, and configurations.
A retail demand team uses an ML pipeline that retrains, evaluates, and promotes its forecasting model weekly.
An NLP team builds a pipeline that handles text preprocessing, model inference, and post-processing as composable, testable stages.
Definition source: Google for Developers Machine Learning Glossary | Creative Commons Attribution 4.0 License