Releases

Version 0.2.1

[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

Contributors v0.2

  • Difan Deng

  • Ravin Kohli

  • Shuhei Watanabe

  • Theodoros Athanasiadis

Version 0.2

[FIX] Documentation and docker workflow file (#449)
[RELEASE] Changes for release v0.2 (#446)
[ADD] Allow users to pass feat types to tabular validator (#441)
[ADD] docs for forecasting task (#443)
[FIX] fit updates in gluonts (#445)
[ADD] Time series forecasting (#434)
[FIX] fix dist twine check for github (#439)
[ADD] Subsampling Dataset (#398)
[feat] Add __str__ to autoPyTorchEnum (#405)
[ADD] feature preprocessors from autosklearn (#378)
[refactor] Fix SparseMatrixType –> spmatrix and add ispandas (#397)
[ADD] dataset compression (#387)
[fix] Update the SMAC version (#388)
[feat] Add new task inference for APT (#386)
[FIX] Datamanager in memory (#382)
[FIX] Fix: keyword arguments to submit (#384)
[feat] Add coalescer (#376)
[FIX] Remove redundant categorical imputation (#375)
[ADD] scalers from autosklearn (#372)
[ADD] variance thresholding (#373)
[fix] Change int to np.int32 for the ndarray dtype specification (#371)
[fix] Hotfix debug no training in simple intensifier (#370)
[ADD] Test evaluator (#368)
[FIX] Fix 361 (#367)
[FIX] fix error after merge
[ADD] Docker publish workflow (#357)
[ADD] fit pipeline honoring API constraints with tests (#348)
[FIX] Update workflow files (#363)
[feat] Add the option to save a figure in plot setting params (#351)
[FIX] Cleanup of simple_imputer (#346)
[feat] Add an object that realizes the perf over time viz (#331)

Contributors v0.2

  • Ravin Kohli

  • Shuhei Watanabe

  • Eddie Bergman

  • Difan Deng

Version 0.1.1

[refactor] Completely refactored version with a new scikit-learn compatible API.

Contributors v0.1.1

  • Ravin Kohli

  • Shuhei Watanabe

  • Francisco Rivera