Azure-docs: Anomaly Detection with Single Parameter - "Train Model" vs "Train Anomaly Detection Model"

[JeffreyCA]

In Step 6 on here, it says If you set the Create trainer mode option to Single Parameter, use the Train Model module.

Why does it suggest Train Model instead of Train Anomaly Detection Model? What is the difference between the two?

Train Model is suggested on both One-Class Support Vector Machine and PCA-Based Anomaly Detection pages.

---

Document Details

⚠ Do not edit this section. It is required for docs.microsoft.com ➟ GitHub issue linking.

• ID: 08ef555f-c571-2dff-2ee2-4e2536c334b7
• Version Independent ID: c97c820d-4f16-4348-e6a8-637ad9d9fc2b
• Content: What is - Azure Machine Learning Studio
• Content Source: articles/machine-learning/studio/what-is-ml-studio.md
• Service: machine-learning
• GitHub Login: @garyericson
• Microsoft Alias: garye

[YutongTie-MSFT]

@JeffreyCA
Thanks for the feedback! We are currently investigating and will update you shortly.

[garyericson]

@YutongTie-MSFT - This is actually a request for clarity in the article PCA-Based Anomaly Detection. Please assign this issue to the author of that article, @ericlicoding.

[j-martens]

@xiaoharper - Harper, can you please provide clarity to the user here?

[xiaoharper]

@JeffreyCA Thanks for catching our bug. In this case, we should suggest to use Train Anomaly Detection Model since it's anomaly detection scenario. I will fix it.
Check this article for the difference of Train model and Train Anomaly Detection Model.

[j-martens]

Thanks for your post, Jeffrey. Hope this answers your question. #please-close