PyTorch Frame 0.2.4

What's Changed

• fix multicategorical stype inference and add test case by @yiweny in #420
• coorectly infer boolean stypes by @yiweny in #421
• support xgboost early stopping by @yiweny in #424
• Update testing torch version by @zechengz in #428
• Update Excelformer benchmark results on small binary and regression tasks by @zechengz in #427
• update xgboost numbers by @yiweny in #425
• Update excelformer benchmark results by @zechengz in #431
• Remove CUDA synchronizations by slicing input tensor with int instead of CUDA tensors in nn.LinearEmbeddingEncoder by @akihironitta in #432
• Don't put assertions on N/A imputation correctness by @akihironitta in #433
• Don't create the same tensor every iteration in N/A handling by @akihironitta in #434
• chore: Update pre-commit by @akihironitta in #435
• Add benchmark results for large-scale multiclass classification task by @akihironitta in #436
• Fixed warning and added safe globals by @NeelKondapalli in #423
• fix error in xgboost by @puririshi98 in #443
• Add is_floating_point() to multi tensors by @akihironitta in #445
• Fix size mismatch error when CatToNumTransform sees only a subset of labels at test time by @akihironitta in #446
• add pytorch tabular benchmark by @yiweny in #398
• Compare more models across frame and tabular by @wsad1 in #444
• Add benchmark result from ExcelFormer on a large-scale multi-class classification task by @akihironitta in #447
• Fail torch.load(weights=True) gracefully by @akihironitta in #448
• Fix offset in LinearEmbeddingEncoder by @toenshoff in #455
• Fix docs build in CI by @akihironitta in #456
• Removing the deprecated categorical_feature parameter from lightgbm.train(...) function calls. by @drivanov in #454
• Tighten assert condition in graph break tests by @akihironitta in #458
• Update pytorch_tabular_benchmark.py by @wsad1 in #457
• Drop support for Python 3.8 by @akihironitta in #462
• [pre-commit.ci] pre-commit suggestions by @pre-commit-ci in #461
• Update benchmark numbers by @yiweny in #411
• Add support for PyTorch 2.5 by @akihironitta in #464
• Allow empty TensorFrame with non-zero number of rows by @rusty1s in #466
• Support index select for empty TensorFrame by @rusty1s in #467
• Consistent PyPI name pytorch-frame by @akihironitta in #468
• Raise a friendly message when a str is provided to TensorFrame(col_names_dict) instead of a list[str] by @akihironitta in #469
• Update README.md by @akihironitta in #471
• Materialize train test by @HoustonJ2013 in #472
• Add an example of training a tabular model on multiple GPUs by @akihironitta in #474
• Support pin_memory() in Multi{Embedding,Nested}Tensor and TensorFrame by @akihironitta in #437
• Run MultiNestedTensor tests on both CPU and GPU by @akihironitta in #476
• Optimize the Trompt example to reduce training time by ~30% by @akihironitta in #477
• Add dependabot and auto-merge PRs by dependabot once CI passes by @akihironitta in #478
• Bump tj-actions/changed-files from 41 to 45 by @dependabot in #479
• Bump codecov/codecov-action from 2 to 5 by @dependabot in #481
• Bump dangoslen/changelog-enforcer from 2 to 3 by @dependabot in #480
• Bump actions/labeler from 4 to 5 by @dependabot in #482
• [pre-commit.ci] pre-commit suggestions by @pre-commit-ci in #483
• Update .pre-commit-config.yaml weekly by @akihironitta in #484
• Fix documentation build by @akihironitta in #486
• Label bot PRs skip-changelog by @akihironitta in #487
• [pre-commit.ci] pre-commit suggestions by @pre-commit-ci in #485
• update version to 0.2.4 by @weihua916 in #488

New Contributors

• @NeelKondapalli made their first contribution in #423
• @puririshi98 made their first contribution in #443
• @wsad1 made their first contribution in #444
• @HoustonJ2013 made their first contribution in #472

Full Changelog: 0.2.3...0.2.4