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Co-authored-by: Zhiqiang Tang <zhiqiang.tang@rutgers.edu> Co-authored-by: Oleksandr Shchur <oleks.shchur@gmail.com>
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# Version 0.8.1 | ||
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v0.8.1 is a bug fix release. | ||
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As always, only load previously trained models using the same version of AutoGluon that they were originally trained on. | ||
Loading models trained in different versions of AutoGluon is not supported. | ||
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See the full commit change-log here: https://github.com/autogluon/autogluon/compare/v0.8.0...v0.8.1 | ||
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This version supports Python versions 3.8, 3.9, and 3.10. | ||
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# Changes | ||
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## Documentation improvements | ||
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* Update google analytics property @gidler (#3330) | ||
* Add Discord Link @Innixma (#3332) | ||
* Add community section to website front page @Innixma (#3333) | ||
* Update Windows Conda install instructions @gidler (#3346) | ||
* Add some missing Colab buttons in tutorials @gidler (#3359) | ||
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## Bug Fixes / General Improvements | ||
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* Move PyMuPDF to optional @Innixma @zhiqiangdon (#3331) | ||
* Remove TIMM in core setup @Innixma (#3334) | ||
* Update persist_models max_memory 0.1 -> 0.4 @Innixma (#3338) | ||
* Lint modules @yinweisu (#3337, #3339, #3344, #3347) | ||
* Remove fairscale @zhiqiangdon (#3342) | ||
* Fix refit crash @Innixma (#3348) | ||
* Fix `DirectTabular` model failing for some metrics; hide warnings produced by `AutoARIMA` @shchur (#3350) | ||
* Pin dependencies @yinweisu (#3358) | ||
* Reduce per gpu batch size for AutoMM high_quality_hpo to avoid out of memory error for some corner cases @zhiqiangdon (#3360) | ||
* Fix HPO crash by setting reuse_actor to False @yinweisu (#3361) |