[9-HI™ Dictionary] Machine Learning (ML) Pipeline

The full on process of ingesting data, processing data, loading the data into the model, sending/receiving requests to the models, etc. Moves data from phase to phase. Gateway to the back-end. Deployed functionality of all the ML sub processes.

A Machine Learning (ML) Pipeline is a way to codify and automate the workflow it takes to produce a machine learning model. Machine Learning Pipelines consist of multiple sequential steps that do everything from data extraction and preprocessing to model training and deployment. This pipeline moves data from phase to phase and serves as the gateway to the back-end of 9-HI™.