Model registration

Published

October 24, 2024

How do models get registered in ValidMind?

Models get registered into ValidMind via the Model Inventory. To add a model into the Inventory, you need to fill out a customizable registration questionnaire capturing the required registration metadata, such as:

  • Model Name
  • Model Use
  • Model Owner
  • Model Dependencies
  • And more

Can the fields for model registration questionnaires be configured?

ValidMind enables you to configure model registration fields, including options for model risk tiers, model use cases, and documentation templates.

You can modify these fields as needed and on an ongoing basis: Manage model inventory fields

Can we leverage content from historical documentations? 

ValidMind is in the process of developing features that allow you to benefit from content in historical documentation by:

  • Allowing users to select definitions and specific documentation artifacts from previous model documentation for particular model use cases
  • Offering users AI-generated content suggestions for specific areas of the documentation (e.g., qualitative sections) based on high-quality historical documentation

These features are currently on the roadmap and under research, no release schedule is set yet.

Can we customize illustrations?

ValidMind utilizes open-source libraries (such as Seaborn and Matplotlib) to generate plots and illustrations. We are working on implementing the ability for model developers to customize styling parameters for these libraries directly within the developer framework.

This feature is currently scheduled for Q4 2023.

Additionally, ValidMind is developing a feature that enables developers to create custom visualization widgets by writing JavaScript-based rendering code.

Can ValidMind manage complex model hierarchies or use cases with multiple models?

ValidMind is enhancing support for complex or modular models in two ways:

  • By adding parent/sub-model relational attributes to the model inventory. This is a roadmap item currently scheduled for Q2’2023.
  • By enabling tests to run on multiple models simultaneously and aggregating the results. This is a roadmap item currently scheduled for Q3’2023.