add finetuned models to search space

[anuragg1209]

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Summary of Changes

Hello @anuragg1209, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This PR updates the hyperparameter optimization search space by incorporating paths to newly finetuned tabpfn-v2-classifier models. This change specifically affects the multiclass task type, allowing the HPO process to consider these enhanced models.

Highlights

• Hyperparameter Optimization Configuration: Modified src/tabpfn_extensions/hpo/search_space.py to update the model_paths list within the get_param_grid_hyperopt function. This change specifically adds paths to finetuned tabpfn-v2-classifier models for multiclass task types.

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[Copilot]

Pull Request Overview

This PR updates the search space configuration to use finetuned model checkpoints instead of the base model checkpoints for multiclass classification tasks. The change replaces 5 existing model paths with their corresponding finetuned versions, maintaining the same base model identifiers while adding finetuned-specific suffixes.

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[gemini-code-assist]

Code Review

This pull request updates the search space to include fine-tuned models for multiclass classification. The change is straightforward. I've added one suggestion to improve the maintainability of the model path list by reducing repetition and improving readability.

[noahho]

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