added link to the WSL install guide and changed script editors to script runners 
and changed how supported pipelines are represented
This commit is contained in:
Tim Schaeps 2023-02-01 13:00:23 +01:00 коммит произвёл GitHub
Родитель 3821c7109b
Коммит a963d1f390
Не найден ключ, соответствующий данной подписи
Идентификатор ключа GPG: 4AEE18F83AFDEB23
1 изменённых файлов: 6 добавлений и 3 удалений

Просмотреть файл

@ -8,7 +8,7 @@
- [Azure CLI ](https://learn.microsoft.com/en-us/cli/azure/install-azure-cli)
- The [Terraform extension for Azure DevOps](https://marketplace.visualstudio.com/items?itemName=ms-devlabs.custom-terraform-tasks) if you are using Azure DevOps + Terraform to spin up infrastructure
- Azure service principals to access / create Azure resources from Azure DevOps or Github Actions (or the ability to create them)
- Git bash, WSL or another shell script editor on your local machine
- Git bash, [WSL](https://learn.microsoft.com/en-us/windows/wsl/install) or another shell script runner on your local machine
>**Note:**
>
@ -73,7 +73,10 @@
#options: github-actions / azure-devops
orchestration=github-actions
```
Currently, classical, cv (computer-vision), and nlp (natural language processing) pipelines are supported.
Currently, the following pipelines are supported:
- classical
- cv (computer-vision)
- nlp (natural language processing)
4. **Run sparse checkout**
The `sparse_checkout.sh` script will use ssh to authenticate to your GitHub organization. If this is not yet configured in your environment, follow the steps below or refer to the documentation at [GitHub Key Setup](https://docs.github.com/en/authentication/connecting-to-github-with-ssh/generating-a-new-ssh-key-and-adding-it-to-the-ssh-agent).
@ -293,4 +296,4 @@ As elements of Azure Machine Learning are still in development, the following co
Interim it is recommended to schedule the deployment pipeline for development for complete model retraining on a timed trigger.
For questions, please [submit an issue](https://github.com/Azure/mlops-v2/issues) or reach out to the development team at Microsoft.
For questions, please [submit an issue](https://github.com/Azure/mlops-v2/issues) or reach out to the development team at Microsoft.