https://github.com/artefactory/mlflow-serving-example
Code examples to demonstrate the use of mlflow tracking and serving instances
https://github.com/artefactory/mlflow-serving-example
Last synced: 10 months ago
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Code examples to demonstrate the use of mlflow tracking and serving instances
- Host: GitHub
- URL: https://github.com/artefactory/mlflow-serving-example
- Owner: artefactory
- License: mit
- Created: 2021-10-08T09:02:03.000Z (almost 5 years ago)
- Default Branch: main
- Last Pushed: 2023-07-25T16:22:43.000Z (almost 3 years ago)
- Last Synced: 2025-04-22T12:37:13.882Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 96.7 KB
- Stars: 13
- Watchers: 1
- Forks: 9
- Open Issues: 5
-
Metadata Files:
- Readme: README.MD
- License: LICENSE
Awesome Lists containing this project
README
### Mlflow serving example
This repository contains code used in [this series of articles](https://medium.com/artefact-engineering-and-data-science/serving-ml-models-at-scale-using-mlflow-on-kubernetes-bf27258775e7)
in which we go through the deployment of a machine learning model on mlflow.
The code is organized in the following way:
```
├── deployments <- Kubernets config yaml files for mlflow and locust
├── locust-tasks <- Functions executed as part of the load test tasks
├── notebooks <- Example code snippets to interact with mlflow
├── scripts <- Scripts executed by the deployed docker containers
├── dockerfile_* <- docker files to deploy mlflow and locust on Kubernetes
```
### How to contribute ?
All contributions, ideas and bug reports are welcome! We encourage you to open an issue for any change you would like to make on this project.