Automate model retraining with Amazon SageMaker Pipelines when drift is detected
Favorite Training your machine learning (ML) model and serving predictions is usually not the end of the ML project. The accuracy of ML models can deteriorate over time, a phenomenon known as model drift. Many factors can cause model drift, such as changes in model features. The accuracy of ML
Read More
Shared by AWS Machine Learning November 3, 2021