Name | Modified | Size | Downloads / Week |
---|---|---|---|
Parent folder | |||
README.md | 2022-07-18 | 2.9 kB | |
Version 0.2.tar.gz | 2022-07-18 | 624.2 kB | |
Version 0.2.zip | 2022-07-18 | 954.1 kB | |
Totals: 3 Items | 1.6 MB | 0 |
What's Changed
- Fix 361 by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/367
- [ADD] Test evaluator by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/368
- [fix] Hotfix debug no training in simple intensifier by @nabenabe0928 in https://github.com/automl/Auto-PyTorch/pull/370
- [fix] Change int to np.int32 for the ndarray dtype specification by @nabenabe0928 in https://github.com/automl/Auto-PyTorch/pull/371
- [ADD] variance thresholding by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/373
- [ADD] scalers from autosklearn by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/372
- [FIX] Remove redundant categorical imputation by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/375
- [feat] Add coalescer by @nabenabe0928 in https://github.com/automl/Auto-PyTorch/pull/376
- Fix: keyword arguments to submit by @eddiebergman in https://github.com/automl/Auto-PyTorch/pull/384
- [FIX] Datamanager in memory by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/382
- [feat] Add new task inference for APT by @nabenabe0928 in https://github.com/automl/Auto-PyTorch/pull/386
- [fix] Update the SMAC version by @nabenabe0928 in https://github.com/automl/Auto-PyTorch/pull/388
- [ADD] dataset compression by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/387
- [refactor] Fix SparseMatrixType --> spmatrix and add ispandas by @nabenabe0928 in https://github.com/automl/Auto-PyTorch/pull/397
- [ADD] feature preprocessors from autosklearn by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/378
- [feat] Add str to autoPyTorchEnum by @nabenabe0928 in https://github.com/automl/Auto-PyTorch/pull/405
- [ADD] Subsampling Dataset by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/398
- fix dist twine check for github by @dengdifan in https://github.com/automl/Auto-PyTorch/pull/439
- Time series forecasting by @dengdifan in https://github.com/automl/Auto-PyTorch/pull/434
- fit updates in gluonts by @dengdifan in https://github.com/automl/Auto-PyTorch/pull/445
- docs for forecasting task by @dengdifan in https://github.com/automl/Auto-PyTorch/pull/443
- [ADD] Allow users to pass feat types to tabular validator by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/441
- [RELEASE] Changes for release v0.2 by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/446
- [FIX] Documentation and docker workflow file by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/449
- [ADD] change log for release by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/450
- [RELEASE] Release v0.2 by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/448
New Contributors
- @dengdifan made their first contribution in https://github.com/automl/Auto-PyTorch/pull/439
Full Changelog: https://github.com/automl/Auto-PyTorch/compare/v0.1.1...v0.2