Myelin is a Kubernetes native end to end machine learning framework. It enables data scientists and machine learning engineers to train, deploy and monitor machine learning models.
What is Myelin?
Myelin is designed from ground up to run on Kuberentes.
Self healing deployments
Machine learning deployments are monitored and restored if their performance deteriorate.
End to end
Myelin provides tools to train, deploy and monitor your algorithm.
Introducing declarative machine learning
Myelin was inspired by the philosophy of Kubenetes, where the user describes a desired state of a machine learning deploment and Myelin works out what is the best way to achieve that state.
In a simple case, the desired state might include a single model that is trained and deployed, serving accurate predictions. When the model performance drops, Myelin retrains the model and replaces the inaccurate one.
The tool is designed to manage machine learning deployments without human intervention.
Myelin covers a wide range of scenarios to allow users to express the desired state of complex deployments.
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