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Update pydantic requirement from >=2.0.0 to >=2.13.4#10

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dependabot/pip/pydantic-gte-2.13.3
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Update pydantic requirement from >=2.0.0 to >=2.13.4#10
dependabot[bot] wants to merge 19 commits into
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dependabot/pip/pydantic-gte-2.13.3

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@dependabot dependabot Bot commented on behalf of github May 6, 2026

Updates the requirements on pydantic to permit the latest version.

Release notes

Sourced from pydantic's releases.

v2.13.4 2026-05-06

v2.13.4 (2026-05-06)

What's Changed

Packaging

Fixes

Full Changelog: pydantic/pydantic@v2.13.3...v2.13.4

Changelog

Sourced from pydantic's changelog.

v2.13.4 (2026-05-06)

GitHub release

What's Changed

Packaging

Fixes

v2.13.3 (2026-04-20)

GitHub release

What's Changed

Fixes

v2.13.2 (2026-04-17)

GitHub release

What's Changed

Fixes

  • Fix ValidationInfo.field_name missing with model_validate_json() by @​Viicos in #13084

v2.13.1 (2026-04-15)

GitHub release

What's Changed

Fixes

v2.13.0 (2026-04-13)

GitHub release

The highlights of the v2.13 release are available in the blog post.

... (truncated)

Commits
  • cf67d4b Fix linting
  • f0d8a21 Prepare release v2.13.4
  • 5e3fe1d Check for pydantic tag pattern in CI
  • 7f9edcc Document tagging conventions
  • b46a0c9 Adapt pydantic-core linker flags on macOS
  • 50629c8 Update to PyPy 7.3.22
  • 8522ebb Preserve RootModel core metadata
  • a37f3af Adapt MISSING sentinel test to work with unreleased typing_extensions ver...
  • 909259a Remove Logfire example in documentation
  • 2c4174c Bump libc from 0.2.155 to 0.2.185
  • Additional commits viewable in compare view

Eugen Goebel and others added 16 commits March 26, 2026 21:07
- Add GitHub Actions workflow for automated testing on Python 3.10-3.12
- Add shields.io badges for Python version, test count, tech stack, and license
Moved scaling from preprocessor to model trainer so the scaler is fitted
only on training data and then applied to test data, preventing data leakage.
Define parameter grids for all candidate models (classification and
regression). Add _tune_candidates() method that runs GridSearchCV on
each model before the cross-validation comparison. Best parameters are
stored in TrainingResult for reporting.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Pass tune parameter from CLI to orchestrator to model trainer. Shows
tuning status in pipeline output.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
7 new tests: tuned classification/regression, best_params returned,
four models compared after tuning, best score matches, param grids
exist, default not tuned.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add hyperparameter tuning with GridSearchCV
Data analysis pipeline, model comparison, and evaluation results
captured with the bundled Customer Churn sample dataset.
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dependabot Bot commented on behalf of github May 6, 2026

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eugen-goebel and others added 3 commits May 7, 2026 01:12
- Pin pandas<3 and numpy<3 to avoid breaking-API surprises on hosted
  resolves where pip pulls the latest major
- Add openpyxl so Excel uploads (xlsx) work out of the box without
  relying on a transitive dep
- Reserve a live-demo placeholder in the README
Updates the requirements on [pydantic](https://github.com/pydantic/pydantic) to permit the latest version.
- [Release notes](https://github.com/pydantic/pydantic/releases)
- [Changelog](https://github.com/pydantic/pydantic/blob/v2.13.4/HISTORY.md)
- [Commits](pydantic/pydantic@v2.0...v2.13.4)

---
updated-dependencies:
- dependency-name: pydantic
  dependency-version: 2.13.3
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot changed the title Update pydantic requirement from >=2.0.0 to >=2.13.3 Update pydantic requirement from >=2.0.0 to >=2.13.4 May 6, 2026
@dependabot dependabot Bot force-pushed the dependabot/pip/pydantic-gte-2.13.3 branch from 4939850 to dd3d365 Compare May 6, 2026 23:14
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