Check disparity in an Addresszen model feature
Ask DataRobot to calculate disparity insights for a specified feature in a model trained on Addresszen data.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
Create Data Disparity Insights
Start an asynchronous calculation of data disparities between two classes for a feature.
Why this helps
Fairness checks can be skipped when validated address data moves quickly into modeling.
- Starts a defined disparity calculation
- Keeps comparison classes and feature explicit
- Returns an asynchronous analysis status
Setup
Build it in a few focused steps.
- 1Connect Addresszen and DataRobot once.
- 2Create an automation for disparity analysis on an Addresszen-backed model.
- 3Tell Notis the webhook contains the real Addresszen dataset reference, DataRobot model ID, feature name, and both comparison classes; ask it to start the insight calculation.
- 4Select the Notis webhook trigger and report destination.
- 5Test with one model and a reviewed comparison definition.
Questions about this workflow
Will Notis select the comparison groups?
No. Supply the exact classes and feature to compare.
Does this alter the model?
No. It starts an analysis job and does not change the model.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Addresszen to Datarobot. A trigger fires from one place; an action lands in another.
Addresszen triggers
Datarobot actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
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Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
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Check Project Status
Check a project’s status and progress.
Connect any two apps with Notis in the middle.
Addresszen and Datarobot, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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