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completed images for infrastructure and setup
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drcrook1 committed Apr 2, 2019
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Expand Up @@ -166,33 +166,33 @@ This section covers creating a project in Azure Dev Ops for the workshop.
1. Navigate to https://dev.azure.com
2. Select the organization you intend to use OR create a new organization.
3. Create a new project. Pick a name, description. Select “Git” for version control and “Agile” for the work item process.
a.
![alt text](./readme_images/create_ado_project.png)
4. Invite Additional Users
a.
b.
![alt text](./readme_images/add_ado_user_1.png)
![alt text](./readme_images/add_ado_user_2.png)
5. Click on Repos, Files.
6. At the very bottom, select “Initialize Repo”.
##### Scientists – Initial Setup
Configure Azure Dev Ops Integrations
Azure Databricks, set your Git provider to Azure DevOps Services on the User Settings page:
1. Click the User icon at the top right of your screen and select User Settings.
![alt text](./readme_images/adb_user_settings.png)
2. Click the Git Integration tab.
3. Change your provider to Azure DevOps Services.
![alt text](./readme_images/ado_git_provider_adb.png)
##### Create & Link Project File w/ Repo
1. From inside the Data Bricks cluster interface, select workspace, shared, then the drop down, then create and create a “Folder”
a.
![alt text](./readme_images/adb_create_folder.png)
2. Name the folder “Project_One”
3. Create a new file inside the project called “train_model”.
a.
![alt text](./readme_images/adb_create_notebook.png)
4. Link “train_model.py” file to your Azure Dev Ops repository.
a. Copy the git link from your azure dev ops portal:
i.
![alt text](./readme_images/copy_ado_git_link.png)
b. Paste into the “link” location in the popup for “Git Preferences”
c. Create a new branch. Name it your unique user ID
d. Use “Project_One/notebooks/train_model.py” as the path in git repo.
![alt text](./readme_images/adb_git_link_settings_form.png)
# Dev Loop Experience
The dev loop experience encompasses mounting the dev data, exploring that data, training a model; writing the inference code, compiling a dev container; running tests inside the dev container.
## Train the world’s worst regression & Stage for inference coding.
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