logit-per-default-for-tabpfn

[mmschlk]

Motivation and Context

Closes #426

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Public API Changes

• No Public API changes
• Yes, Public API changes (Details below)

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How Has This Been Tested?

New test case and locally testing.

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Checklist

• The changes have been tested locally.
• Documentation has been updated (if the public API or usage changes).
• An entry has been added to CHANGELOG.md (if relevant for users).
• The code follows the project's style guidelines.
• I have considered the impact of these changes on the public API.

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[Copilot]

Pull Request Overview

This PR upgrades TabPFN support and implements a new prediction method priority system. The key changes include updating TabPFN from version 2.0.7 to 2.2.1 (via minimum version 2.1.3), introducing a new predict_logits method that is now prioritized over predict_proba for sklearn-like classifiers, and adding tests to verify the correct prediction function is used for TabPFN models.

• Updated TabPFN dependency from >=2.0.7 to >=2.1.3 to support models with predict_logits method
• Introduced predict_logits function and prioritized it over predict_proba in prediction function selection
• Added new test fixtures and test cases to verify TabPFN models use logits-based predictions

Reviewed Changes

Copilot reviewed 5 out of 6 changed files in this pull request and generated 2 comments.

Show a summary per file

File	Description
uv.lock	Updates dependency versions including TabPFN (2.0.7 → 2.2.1), filelock, platformdirs, and adds new dependencies for TabPFN (pydantic, posthog, etc.)
pyproject.toml	Updates minimum TabPFN version requirement from 2.0.7 to 2.1.3 and clarifies a comment about lightgbm
src/shapiq/explainer/utils.py	Adds predict_logits function and prioritizes it over predict_proba in the prediction function selection logic
tests/shapiq/fixtures/models.py	Adds two new fixtures (tabpfn_reg_model and tabpfn_clf_model) for testing TabPFN models
tests/shapiq/tests_unit/tests_explainer/test_prediction_function.py	Adds new test file to verify that TabPFN classifiers use the predict_logits method
CHANGELOG.md	Documents the new feature and clarifies the comment about lightgbm installation issues

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[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.

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