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