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Tactic: Retrain the Model If Needed
Tactic sort:
Awesome Tactic
Type: Architectural Tactic
Category: green-ml-enabled-systems
Title
Retrain the Model If Needed
Description
Retraining a model refers to the process of updating or modifying an existing machine learning model. In the long term, concept drift may affect the accuracy of existing machine learning models. Retraining the model by for example training it again with new data is better than building it again in terms of sustainability.
Participant
Data Scientist
Related software artifact
Machine Learning Model
Context
Machine Learning
Software feature
< unknown >
Tactic intent
Improve energy efficiency by retraining the existing machine learning model instead of building a new one when drift is detected
Target quality attribute
Accuracy
Other related quality attributes
Energy Efficiency
Measured impact
< unknown >
Source
Lorena Poenaru-Olaru, June Sallou, Luis Cruz, Jan S. Rellermeyer, and Arie van Deursen. 2023. Retrain AI Systems Responsibly! Use Sustainable Concept Drift Adaptation Techniques. In 2023 IEEE/ACM 7th International Workshop on Green and Sustainable Software (GREENS). 17–18. (DOI: https://doi.org/10.1109/GREENS59328.2023.00009)Graphical representation
