Model Lifecycle - Teradata Vantage

ClearScape Analytics ModelOps User Guide

Deployment
VantageCloud
VantageCore
Edition
Enterprise
IntelliFlex
VMware
Product
Teradata Vantage
Release Number
7.0
Published
April 2023
Language
English (United States)
Last Update
2023-04-19
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B700-1175

Building a machine learning model is an iterative process. Many of the steps needed to build a machine learning model are reiterated and modified until data scientists are satisfied with the model performance. This process requires a great deal of data exploration, visualization and experimentation as each step must be explored, modified and audited independently.

ModelOps covers an end-to-end methodology from business understanding to model consumption in production with several components used in the different stages of the model lifecycle.