Skip to content

Corrected errata #73

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
ngvgi wants to merge 1 commit into
base: master
Choose a base branch
from
Open

Corrected errata #73

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
23 changes: 11 additions & 12 deletions examples/MLOps_GitHubActions/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,24 +1,23 @@
# MLOps with GitHub Actions and Event Grid
# MLOps with GitHub Actions and Event Grid

This example shows you how to use Azure Machine Learning, GitHub Actions and Event Grid to create a CI/CD flow. The intent of this project is to provide references on how you can implement this withyour own projects.
This example shows you how to use Azure Machine Learning, GitHub Actions and Event Grid to create a CI/CD flow. The intent of this project is to provide references on how you can implement this with your own projects.

# Preqrequisites
# Prerequisites

It's reccomended that you have a basic understanding of Azure Machine Learning, Event Grid and GitHub Actions. Make sure you have at least contributor access to an Azure Machine Learning workspace. Here are some features and concepts the repo will be using:

* [MLOps on Azure Machine Learning](https://docs.microsoft.com/en-us/azure/machine-learning/concept-model-management-and-deployment)
* [Azure Machine Learning Pipelines](https://docs.microsoft.com/en-us/azure/machine-learning/concept-ml-pipelines)
* [Azure Event Grid integration with Azure Machine Learning](https://docs.microsoft.com/en-us/azure/machine-learning/how-to-use-event-grid)
It's recommended that you have a basic understanding of Azure Machine Learning, Event Grid and GitHub Actions. Make sure you have at least contributor access to an Azure Machine Learning workspace. Here are some features and concepts the repo will be using:

- [MLOps on Azure Machine Learning](https://docs.microsoft.com/en-us/azure/machine-learning/concept-model-management-and-deployment)
- [Azure Machine Learning Pipelines](https://docs.microsoft.com/en-us/azure/machine-learning/concept-ml-pipelines)
- [Azure Event Grid integration with Azure Machine Learning](https://docs.microsoft.com/en-us/azure/machine-learning/how-to-use-event-grid)

# Content

You can start with either folder. In order to run this project end to end complete the set up from both folders.
You can start with either folder. In order to run this project end to end, complete the set up from both folders.

## Code

This folder contains example code to build an image classifaction model to distinguish betweens tacos and burritos. You can replace any of the training code with your own. Additionally this folder also porvides a build and deploy yaml in the subfolder **workflows** that you will trigger as actions.
This folder contains example code to build an image classifaction model to distinguish betweens tacos and burritos. You can replace any of the training code with your own. Additionally this folder also provides a build and deploy yaml in the subfolder **workflows** that you will trigger as actions.

## Azure Function
## Azure Function

This folder contains code for a simple Azure function that gets trigger by a model registration event (via event grid). This is important when automating continuous model deployment.
This folder contains code for a simple Azure function that gets triggered by a model registration event (via event grid). This is important when automating continuous model deployment.