Merlin is a platform for deploying and serving machine learning models. The project was born of the belief that model deployment should be:
- Easy and self-serve: Human should not become the bottleneck for deploying model into production.
- Scalable: The model deployed should be able to handle Gojek scale and beyond.
- Fast: The framework should be able to let user iterate quickly.
- Cost efficient: It should provide all benefit above in a cost efficient manner.
Merlin attempts to do so by:
- Abstracting infrastructure: Merlin uses familiar concept such as Project, Model, Version, and Endpoint as its core component and abstract away complexity of deploying and serving ML service from user.
- Autoscaling: Merlin is built on top Knative and KFServing to provide a production ready serverless solution.
Requirements:
- Golang 1.13
- NPM LTS
- Python 3
- Docker
- Swagger Codegen 2.X
Go to the docs folder for the full documentation and guides.
Click here to getting started on using the Python SDK.
To explore the API documentation, run:
make swagger-ui
We use Swagger Codegen to automatically generate Golang and Python clients for Merlin API. To genarate the client libraries, run:
make generate-client
Merlin is a community project and is still under active development. Your feedback and contributions are important to us. Please have a look at our contributing guide for details.