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https://github.com/cloudscaleml/seer
https://github.com/cloudscaleml/seer
Last synced: 8 days ago
JSON representation
- Host: GitHub
- URL: https://github.com/cloudscaleml/seer
- Owner: cloudscaleml
- License: mit
- Created: 2019-07-19T19:21:39.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2021-03-13T01:12:43.000Z (almost 4 years ago)
- Last Synced: 2024-08-13T07:09:36.565Z (4 months ago)
- Language: Python
- Size: 188 KB
- Stars: 13
- Watchers: 2
- Forks: 15
- Open Issues: 1
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- jimsghstars - cloudscaleml/seer - (Python)
README
# MLOps
This exercise is designed to add a CI/CD process to an existing machine learning project!
## Uploading Some Data
To get this to work we need some data. This can be done by downloading a zip file and uploading it to the storage attached to the Azure Machine Learning workspace. Make sure to follow the [instructions](docs/datastore.md) in order to set this up.
## Build Pipeline
The goal behind the build pipeline is to create a process whereby every time code is changed in our repo, the machine learning pipeline is updated, run, and a model is created. The process is a bit involved but not impossible! The [instructions](docs/build.md) are fairly detailed and should set you up for success.
## Release Pipeline
The release pipeline is the delivery process of the CI/CD pipeline. It is often advantageous to seperate the two process in order to control how we deliver our machine learning model (i.e. one version might not work well so we want to avoid releasing it). The [instructions](docs/release.md) to set this up are a bit involved but not impossible!
## Tying it all together!
Now you should be able to make a change to the code and see all of the services work together to product a consumable endpoint which can be used in your software!