[DOC]: Can you provide the code that used Python faker to make the Azure DFP datasets?

[nyck33]

How would you describe the priority of this documentation request

Low (would be nice)

Describe the future/missing documentation

It says in dfp-feature-selection-demo.ipynb "This notebook includes an introduction to DFP, the suggested steps for DFP feature selection, and the code segments demonstrating how each step can be done in practice.

Note. This notebook uses Azure AD logs as an example but the same process can be applied to any data sources.

Disclaimer. The data was generated using the python faker package. If there is any resemblance to real individuals, it is purely coincidental." and I want to make more data to train on before I deploy to my own Azure cloud with a web app connected to Azure OpenAI services and Snowflake.

Where have you looked?

I did shfit-ctrl-f in VS Code for "faker" and only see it thee and cuda11.8_dev.yml

Code of Conduct

• I agree to follow this project's Code of Conduct
• I have searched the open documentation issues and have found no duplicates for this bug report

[jarmak-nv]

Hi @nyck33!

Thanks for submitting this issue - our team has been notified and we'll get back to you as soon as we can!
In the mean time, feel free to add any relevant information to this issue.

[efajardo-nv]

Sorry @nyck33. The code is not available but should not be too difficult to reproduce using faker.

Here's more info about the dataset:
https://github.com/nv-morpheus/Morpheus/blob/branch-24.10/models/datasets/README.md#dfp-azure-logs

Steps to download it from S3:
https://github.com/nv-morpheus/Morpheus/blob/branch-24.10/examples/digital_fingerprinting/production/README.md#steps-to-run-example-pipeline