title | titleSuffix | description | services | author | ms.author | ms.reviewer | ms.service | ms.subservice | ms.topic | ms.date |
---|---|---|---|---|---|---|---|---|---|---|
Create and manage files in your workspace |
Azure Machine Learning |
Learn how create and manage files in your workspace in Azure Machine Learning studio. |
machine-learning |
abeomor |
osomorog |
sgilley |
machine-learning |
core |
how-to |
02/05/2021 |
Learn how to create and manage the files in your Azure Machine Learning workspace. These files are stored in the default workspace storage. Files and folders can be shared with anyone else withe read access to the workspace, and can be used from any compute instances in the workspace.
- An Azure subscription. If you don't have an Azure subscription, create a free account before you begin.
- A Machine Learning workspace. See Create an Azure Machine Learning workspace.
To create a new file in your default folder (Users > yourname
):
-
Open your workspace in Azure Machine Learning studio.
-
On the left side, select Notebooks.
-
Select the + image.
-
Select the Create new file image.
:::image type="content" source="media/how-to-run-jupyter-notebooks/create-new-file.png" alt-text="Create new file":::
-
Name the file.
-
Select a file type.
-
Select Create.
Notebooks and most text file types display in the preview section. Most other file types don't have a preview.
To create a new file in a different folder:
- Select the "..." at the end of the folder
- Select Create new file.
Important
Content in notebooks and scripts can potentially read data from your sessions and access data without your organization in Azure. Only load files from trusted sources. For more information, see Secure code best practices.
Use a compute instance terminal to clone and manage Git repositories.
Your workspace contains a Sample notebooks folder with notebooks designed to help you explore the SDK and serve as examples for your own machine learning projects. Clone these notebooks into your own folder to run and edit them.
For an example, see Tutorial: Create your first ML experiment.
Copy and paste the URL to share a file. Only other users of the workspace can access this URL. Learn more about granting access to your workspace.
You can't delete the Sample notebooks files. These files are part of the studio and are updated each time a new SDK is published.
You can delete files found in your Files section in any of these ways:
- In the studio, select the ... at the end of a folder or file. Make sure to use a supported browser (Microsoft Edge, Chrome, or Firefox).
- Use a terminal from any compute instance in your workspace. The folder ~/cloudfiles is mapped to storage on your workspace storage account.
- In either Jupyter or JupyterLab with their tools.