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base repository: automl/tabpfn_common_utils
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head repository: automl/tabpfn_common_utils
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compare: cb4469425eba995b4cefad1357c020878e1a6d02
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  • 8 commits
  • 10 files changed
  • 4 contributors

Commits on Dec 15, 2023

  1. add_max_ds_size (#4)

    @SamuelGabriel
    SamuelGabriel authored Dec 15, 2023

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Commits on Jan 12, 2024

  1. Feat: Load Testing Version of All APIs

    Anshul Gupta authored and Anshul Gupta committed Jan 12, 2024
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Commits on Jan 14, 2024

  1. Create pull_request_template.md

    @SamuelGabriel
    SamuelGabriel authored Jan 14, 2024

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  2. Merge pull request #6 from automl/SamuelGabriel-patch-1 

    Create pull_request_template.md
    @SamuelGabriel
    SamuelGabriel authored Jan 14, 2024

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  3. Load Testing PR after resolved comments

    Anshul Gupta authored and Anshul Gupta committed Jan 14, 2024
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Commits on Jan 25, 2024

  1. Merge pull request #5 from automl/feat_load_testing 

    Feat: Load Testing Version of All APIs
    @anshulg954
    anshulg954 authored Jan 25, 2024

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Commits on Mar 6, 2024

  1. Update from tabpfn server (#7) 

    * Minor update

* Clean up according to PEP 8

* Replace flake8 with ruff
    @liam-sbhoo
    liam-sbhoo authored Mar 6, 2024

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Commits on May 2, 2024

  1. Add assert_y_pred_proba_is_valid (#8) 

    * Add assert_y_pred_proba_is_valid

* Update formatting
    @liam-sbhoo
    liam-sbhoo authored May 2, 2024

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Showing with 3,323 additions and 17 deletions.
  1. +25 −0 .github/pull_request_template.md
  2. +1,001 −0 datasets/X_test.csv
  3. +6 −0 datasets/X_test_small.csv
  4. +1,001 −0 datasets/X_train.csv
  5. +6 −0 datasets/X_train_small.csv
  6. +1,001 −0 datasets/y_train.csv
  7. +6 −0 datasets/y_train_small.csv
  8. +224 −0 load_test.py
  9. +21 −4 tests/test_utils.py
  10. +32 −13 utils.py
25 changes: 25 additions & 0 deletions .github/pull_request_template.md
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### Change Description

**Brief** (a few bullet points describing your changes, use full sentences and try to link lines in the code whenever needed)



**Details** (add details if your pull request is more complicated and harder to understand from the code alone)



### Standard Qs (leave questions that do not apply blank)
**If you broke behavior: Please describe what behavior you broke and how you inform people to not get stuck trying to use the old behavior.**



**If you used new dependencies: Did you add them to `requirements.txt`?**



**Who did you ping on Mattermost to review your PR? Please ping that person again whenever you are ready for another review.**



---
*Please do not mark comments/conversations as resolved unless you are the assigned reviewer. This helps maintain clarity during the review process.*
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