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Add example with quantitive evaluation of XAI algorithms #95

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@adamwawrzynski adamwawrzynski commented Jul 18, 2023

Description

This PR introduces a notebook with an example of quantitative evaluation of XAI algorithms. This way we could create a utility to automatically select the best explainable algorithm for a given model and dataset.

Estimate: 3 MD.

How Has This Been Tested?

Please describe the tests that you ran to verify your changes.

  • run notebook

Checklist:

  • I have updated all related pyproject.toml files.
  • I have updated lock files.
  • I have set an Assignee and Reviewers.
  • I have labeled the PR correctly.
  • I have performed a self-review of my own code.
  • I have covered my code and changes with unit tests.
  • I have annotated types as extensively as possible.
  • I have commented my code, particularly in hard-to-understand areas.
  • I have made corresponding changes to the documentation.
  • My changes generate no new warnings.
  • All code references and dependencies will work.

Signed-off-by: Adam Wawrzyński <adam.wawrzynski@reasonfieldlab.com>
@adamwawrzynski adamwawrzynski added the enhancement New feature or request label Jul 18, 2023
@adamwawrzynski adamwawrzynski self-assigned this Jul 18, 2023
Adam Wawrzyński added 2 commits September 5, 2023 16:06
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