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Releases: wearepal/EthicML

v0.6.0

11 Mar 15:04
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Full Changelog: v0.5.1...v0.6.0

v0.5.0

22 Dec 17:31
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Slight change to the API with a new feature. Separate fit and predict methods for the models.

Full Changelog: v0.4.1...v0.5.0

v0.4.0

10 Dec 16:31
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New Dataset - Added ACS Income dataset from Retiring Adult using the excellent folktables by @olliethomas in #469

Also, updated the dependencies.

Full Changelog: v0.3.5...v0.4.0

Release 0.3.5

12 Nov 16:06
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Full Changelog: v0.3.4...v0.3.5

Release 0.3.4

13 Oct 08:42
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A couple of touch-ups. Updated dependencies; Made seed a parameter to all models; The docs now auto build on update.

Release 0.3.3

27 Sep 14:09
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We now have the option to just refer to the S variable in the produced reulsts as just S instead of this changing per dataset. This is useful if you're looking at runs across multiple datasets and want the produced .csv to be easier to navigate.

Release 0.3.2

24 Aug 09:35
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Minor update of dependencies and tabular datasets now also accepting enums.

Release 0.3.1

30 Jul 15:13
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Added the LSAC LAw Admissions Dataset form Counterfactual Fairness by Kusner et al.

Release 0.3.0

30 Jul 11:47
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it's about time we went to 0.3.
This is mostly just updates to dependencies and getting some parity across datasets (all datasets now have discrete feature groups in case you want more information about how a decoder should reconstruct them).

Also, this release was made with our lovely new release script - thanks @thomkeh 🙏 , so releasing smaller updates more often should be easier.

EthicML 0.2.7

05 Jul 16:15
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Changes

  • Add labels_as_featurse option to dataset.load()
  • Expose constants that determine where the celeba dataset is stored