Auto PyTorch Versions Save

Automatic architecture search and hyperparameter optimization for PyTorch

v0.2.1

1 year ago

[FIX] ADD forecasting init design to pip data files by @dengdifan in https://github.com/automl/Auto-PyTorch/pull/459
checks for time series dataset split by @dengdifan in https://github.com/automl/Auto-PyTorch/pull/464
[FIX] Numerical stability scaling for timeseries forecasting tasks by @dengdifan in https://github.com/automl/Auto-PyTorch/pull/467
[FIX] pipeline options in fit_pipeline by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/466
[FIX] results management and visualisation with missing test data by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/465
[ADD] Robustly refit models in final ensemble in parallel by @ravinkohli in https://github.com/automl/Auto-PyTorch/pull/471

Full Changelog: https://github.com/automl/Auto-PyTorch/compare/v0.2...0.2.1

v0.2

1 year ago

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

v0.1.1

2 years ago

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 typing and 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

v0.0.2

4 years ago

The first pre-alpha of Auto-PyTorch supporting image data