Continuous training and deployment enabling (CTCD-e) pipeline components

Continuous training (CT) enables automatic model retraining, and continuous deployment (CD) automatically deploys retrained models to production. They enable ML systems to respond to changes in production by keeping models fresh. Retraining can be triggered periodically or by model monitoring results or repository updates. In addition, CTCD-e conducts A/B testing before promoting a better model to serve all requests.

CTCD-e (continuous-training-and-continuous-deployment-enabling) pipeline works on top of the OSS MLOps Platform of the IML4E project so that it can autonomously adapt ML systems to changing data by providing flexible CT and CD support for models. It can automatically start to retrain a model when its performance degrades, and automatically A/B test the retrained model against its predecessor in production.

CTCD-e is built on top of the OSS MLOps Platform.

ML engineers, MLOps and DevOps engineers

Open source MIT license.