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  1. Documenting models
  2. Document models

Document models

Published

February 10, 2025

Generate model documentation starting with your model or model predictions, load your model or predictions into the library, then finally view the results and refine your documentation in the platform to make it ready for approval.

Prerequisites

1 Manage permissions

End-to-end workflow

In your modeling environment

  1. Build your model or your model predictions.2

  2. Export the datasets and model or predictions.

2 No available model?
You can still run tests and log documentation with ValidMind as long as you’re able to load the model predictions.

With the ValidMind Library

  1. From your modeling environment, load the trained datasets and models or predictions.

  2. Install and initialize the ValidMind Library.

  3. Select the relevant tests.

  4. Review if all tests are covered by ValidMind or your external test provider:

    • If all tests are NOT covered — Create and register additional tests.
    • If all tests are covered —
      1. Run the selected tests.
      2. Review your test results.

In the ValidMind Platform

  1. After installing and initalizing the ValidMind Library,3 add content blocks4 to your model documentation:

    Select the block type:

    • For test-driven blocks — Select from available test provider results5

    • For text blocks —

      1. For new block:
        1. Add new editable text content block
        2. Review and collaborate on the content block
      2. For existing blocks: Select from available texts from content provider
  2. Submit your model documentation for review.

3 Install and initialize the ValidMind Library

4 Work with content blocks

5 Work with test results

What’s next

  • Store model credentials in .env files
  • Work with test results
Documenting models
Install and initialize ValidMind Library

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