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| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| README.md | 2021-11-23 | 8.6 kB | |
| v0.1.1.tar.gz | 2021-11-23 | 419.1 kB | |
| v0.1.1.zip | 2021-11-23 | 636.5 kB | |
| Totals: 3 Items | 1.1 MB | 0 | |
What's Changed
- fixed README by @urbanmatthias in https://github.com/automl/Auto-PyTorch/pull/1
- Update develop branch to 0.0.2 release by @LMZimmer in https://github.com/automl/Auto-PyTorch/pull/17
- set fill value to max of full dataset + 1 by @jonathanburns in https://github.com/automl/Auto-PyTorch/pull/36
- Include missing files in sdist by @thatch in https://github.com/automl/Auto-PyTorch/pull/47
- sort value range sets before adding as hyperparameter by @ntnguyen-dev in https://github.com/automl/Auto-PyTorch/pull/43
- Image classification full cs by @dwoiwode in https://github.com/automl/Auto-PyTorch/pull/73
- Document formatting by @daikikatsuragawa in https://github.com/automl/Auto-PyTorch/pull/64
- Allow specifying the network type in include by @franchuterivera in https://github.com/automl/Auto-PyTorch/pull/78
- Search space update by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/80
- Network Cleanup by @bastiscode in https://github.com/automl/Auto-PyTorch/pull/81
- Make sure the performance of pipeline is at least 0.8 by @franchuterivera in https://github.com/automl/Auto-PyTorch/pull/82
- Refactor development docs by @franchuterivera in https://github.com/automl/Auto-PyTorch/pull/83
- Feature preprocessors, Loss strategies by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/86
- Handling Input to auto pytorch by @franchuterivera in https://github.com/automl/Auto-PyTorch/pull/89
- Adding tabular regression pipeline by @bastiscode in https://github.com/automl/Auto-PyTorch/pull/85
- FIX weighted loss issue by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/94
- Reduce Deadlock Probability by @franchuterivera in https://github.com/automl/Auto-PyTorch/pull/84
- handle nans in categorical columns by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/118
- Pre fetch openml data for pytest by @franchuterivera in https://github.com/automl/Auto-PyTorch/pull/112
- Embedding layer by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/91
- Fixes to address automlbenchmark problems by @franchuterivera in https://github.com/automl/Auto-PyTorch/pull/126
- Bug fix in Test API by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/129
- Refactoring base dataset by @nabenabe0928 in https://github.com/automl/Auto-PyTorch/pull/105
- move to a minimization problem by @franchuterivera in https://github.com/automl/Auto-PyTorch/pull/113
- FIX_123 by @franchuterivera in https://github.com/automl/Auto-PyTorch/pull/133
- Adds more examples to customise AutoPyTorch. by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/124
- [Feat] Better traditional pipeline cutoff time by @franchuterivera in https://github.com/automl/Auto-PyTorch/pull/141
- Hyperparameter Search Space updates now with constant and include ability by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/146
- [Bug] Fix random halt problems on traditional pipelines by @franchuterivera in https://github.com/automl/Auto-PyTorch/pull/147
- Run history traditional by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/121
- [FIX] Enables backend to track the num run by @franchuterivera in https://github.com/automl/Auto-PyTorch/pull/162
- [Doc] First push of the developer documentation by @franchuterivera in https://github.com/automl/Auto-PyTorch/pull/127
- Refactoring base dataset splitting functions by @nabenabe0928 in https://github.com/automl/Auto-PyTorch/pull/106
- [Fix] Refactor development reproducibility by @franchuterivera in https://github.com/automl/Auto-PyTorch/pull/172
- [ADD] Extra visualization example by @franchuterivera in https://github.com/automl/Auto-PyTorch/pull/189
- [Fix] docs links by @franchuterivera in https://github.com/automl/Auto-PyTorch/pull/201
- [Refactor] Use the backend implementation from automl common by @franchuterivera in https://github.com/automl/Auto-PyTorch/pull/185
- [DOC] Adds documentation to the abstract evaluator by @franchuterivera in https://github.com/automl/Auto-PyTorch/pull/160
- [FIX] Update Readme by @franchuterivera in https://github.com/automl/Auto-PyTorch/pull/208
- Reduce run time of the test by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/205
- [refactor] Getting dataset properties from the dataset object by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/164
- Change ubuntu version in docs workflow by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/237
- Add dist check worflow by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/238
- [feature] Greedy Portfolio by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/200
- [ADD] Forkserver as default multiprocessing strategy by @franchuterivera in https://github.com/automl/Auto-PyTorch/pull/223
- [ADD] Get incumbent config by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/175
- [ADD] Coverage calculation by @franchuterivera in https://github.com/automl/Auto-PyTorch/pull/224
- [ADD] Pytest schedule by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/234
- [fix] Dropout bug fix by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/247
- [FIX] Fixes for Tabular Regression by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/235
- [doc] Add the bug fix information for ipython user by @nabenabe0928 in https://github.com/automl/Auto-PyTorch/pull/254
- [ADD] Enable long running regression by @franchuterivera in https://github.com/automl/Auto-PyTorch/pull/251
- [MAINT] Drop 3.6 python support by @franchuterivera in https://github.com/automl/Auto-PyTorch/pull/258
- [ADD] Stricter checks mypy by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/240
- [feat] Add flexible step-wise LR scheduler with minimum changes by @nabenabe0928 in https://github.com/automl/Auto-PyTorch/pull/256
- Enable python 3.9 by @franchuterivera in https://github.com/automl/Auto-PyTorch/pull/264
- Fixes problems with weighted cross-entropy by @franchuterivera in https://github.com/automl/Auto-PyTorch/pull/263
- [Fix] long running regression by @franchuterivera in https://github.com/automl/Auto-PyTorch/pull/272
- [Fix] budget allocation to enable runtime/epoch as budget by @franchuterivera in https://github.com/automl/Auto-PyTorch/pull/271
- [fix] Be able to display error messages in additional info as it is by @nabenabe0928 in https://github.com/automl/Auto-PyTorch/pull/225
- [ADD] Add column transformer by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/305
- [FIX] Minor Fixes by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/306
- [Add] Dockerfile by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/314
- [style] Remove prefix
typingand adapt to google style doc by @nabenabe0928 in https://github.com/automl/Auto-PyTorch/pull/307 - [ADD] Missing Batchnorm by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/317
- [feat] Update automl_common and add setup.py for submodule by @nabenabe0928 in https://github.com/automl/Auto-PyTorch/pull/324
- [FIX] Additional metrics during training by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/316
- [ADD] Update developer documentation by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/320
- [FIX] remove .pth for early stopping by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/321
- [Add] documentation and example for parallel computation by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/322
- [ADD] Documentation for data validation and preprocessing by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/323
- [ADD] documentation for pipelines and steps by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/329
- Final changes for v0.1.0 by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/341
New Contributors
- @urbanmatthias made their first contribution in https://github.com/automl/Auto-PyTorch/pull/1
- @jonathanburns made their first contribution in https://github.com/automl/Auto-PyTorch/pull/36
- @thatch made their first contribution in https://github.com/automl/Auto-PyTorch/pull/47
- @ntnguyen-dev made their first contribution in https://github.com/automl/Auto-PyTorch/pull/43
- @dwoiwode made their first contribution in https://github.com/automl/Auto-PyTorch/pull/73
- @daikikatsuragawa made their first contribution in https://github.com/automl/Auto-PyTorch/pull/64
- @bastiscode made their first contribution in https://github.com/automl/Auto-PyTorch/pull/81
Full Changelog: https://github.com/automl/Auto-PyTorch/compare/v0.0.2...v0.1.1