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base repository: automl/Auto-PyTorch
base: v0.2
head repository: automl/Auto-PyTorch
compare: development
- 10 commits
- 37 files changed
- 2 contributors
Commits on Jul 18, 2022
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[FIX] Documentation and docker workflow file (#449)
* fixes to documentation and docker * fix to docker * Apply suggestions from code review
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* Release 0.2 * Release 0.2.0 * fix docs new line
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Commits on Aug 5, 2022
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[FIX] ADD forecasting init design to pip data files (#459)
* add forecasting_init.json to data files under setup * avoid undefined reference in scale_value
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Commits on Aug 9, 2022
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checks for time series dataset split (#464)
* checks for time series dataset split * maint * Update autoPyTorch/datasets/time_series_dataset.py Co-authored-by: Ravin Kohli <13005107+ravinkohli@users.noreply.github.com> Co-authored-by: Ravin Kohli <13005107+ravinkohli@users.noreply.github.com>
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Commits on Aug 12, 2022
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[FIX] pipeline options in
fit_pipeline
(#466)* fix update of pipeline config options in fit pipeline * fix flake and test * suggestions from review
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[FIX] results management and visualisation with missing test data (#465)
* add flexibility to avoid checking for test scores * fix flake and test * fix bug in tests * suggestions from review
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Commits on Aug 23, 2022
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[ADD] Robustly refit models in final ensemble in parallel (#471)
* add parallel model runner and update running traditional classifiers * update pipeline config to pipeline options * working refit function * fix mypy and flake * suggestions from review * fix mypy and flake * suggestions from review * finish documentation * fix tests * add test for parallel model runner * fix flake * fix tests * fix traditional prediction for refit * suggestions from review * add warning for failed processing of results * remove unnecessary change * update autopytorch version number * update autopytorch version number and the example file
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[DOCS] Release notes v0.2.1 (#476)
* Release 0.2.1 * add release docs * Update docs/releases.rst
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