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This pull request updates the Databricks integration documentation and quickstart notebook. The main changes include:
Updating the URL in the integrations example (synchronize-with-databricks.qmd) to point to the new location of the Databricks quickstart notebook on GitHub instead of the old HTML documentation link.
Minor formatting and content adjustment in the guide page to separate text blocks for better readability.
Changing the grid layout in the managing integrations guide from three columns to two columns to likely improve the visual presentation on the site.
Addition of a comprehensive Jupyter Notebook (validmind_databricks_quickstart.ipynb) that provides an end-to-end quickstart for users. This notebook includes steps to install and initialize the ValidMind Library, verify installation, load data from a Databricks Unity Catalog table (with a synthetic fallback), perform a train/test split, train a simple gradient boosting classifier, register datasets and models with ValidMind, assign predictions, and then run both individual tests and a full test suite. The notebook also provides troubleshooting tips for common issues encountered during integration and testing.
Test Suggestions
Verify that the new URL in the integrations example correctly points to the updated GitHub notebook location and the link renders as expected.
Run the notebook in a Databricks environment to ensure that installation (using %pip), Python restart, and subsequent code cells execute without errors.
Test the synthetic fallback functionality by setting USE_SYNTHETIC_FALLBACK to True to ensure the notebook runs even without a proper Databricks table binding.
Validate that the integration tests (e.g., dataset description, class imbalance, ROC Curve) execute and log results correctly to the ValidMind Platform.
Check the grid layout change on the managing integrations page to confirm that reducing grid columns improves visual display.
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internalNot to be externalized in the release notes
2 participants
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Pull Request Description
What and why?
This PR runs
make get-sourceto refresh our notebooks, notably for Databricks, and makes some minor fixes to the docs.How to test
What needs special review?
Dependencies, breaking changes, and deployment notes
Release notes
Checklist