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Changelog

v0.1.2 (2024-11-21)

🛎️ Chores

  • update the package version (#142)

🩺 Bug Fixes

  • documentation version alias update fixed (#139)

📚 Documentation

  • tutorials fixes (#129)
  • fixed documentation versioning (#135)
  • Documentation template update (#134)
  • fix reference docs for visualizer modules (#133)
  • fix navbar for new tutorials (#132)
  • update changelog.md for v0.1.1 [skip ci] (#131)

🔨 Features

  • Added Hyperlinks to the PR in changelog (#136)

v0.1.1 (2024-11-18)

📚 Documentation

  • refine the tutorial for lime and add tutorial for attributions methods (#128)
  • refine the example for segmentation problem type (#124)

🩺 Bug Fixes

  • Moved the postprocessing to the ExplainableModel (#123)
  • Corrected visualisers (#118)
  • Corrected Attributes Functionalities (#117)
  • changelog.md and release notes do not contain all commits due to the commit processor not parsing multi-line commit messages. (#116)

🔨 Features

  • Updated release and docs GitHub actions to trigger when GitHub tag is pushed (#119)

v0.1.0 (2024-10-29)

🛎️ Chores

  • update the project version (#112)
  • reduced coverage threshold (#94)

🔨 Features

  • 96 feat segmentation support for attribution methods (#103)
  • refactored the package structure (#111)
  • Custom errors (#101)

🩺 Bug Fixes

  • corrected visualizations (#106)
  • Updated occlusion (#93)
  • 91 docs the lime illustration image is missing in the docs (#92)

📚 Documentation

  • update changelog.md for 0.0.4 [skip ci] (#90)

v0.0.4 (2024-09-25)

🩺 Bug Fixes

  • infinite loop in segmentation (#87)

🔨 Features

  • HyperNoiseTunnel and captum attribution methods (#51)

v0.0.3 (2024-09-23)

🩺 Bug Fixes

  • github action release workflow to pypi (#83)

meteors 0.0.2 (2024-08-11)

  • No release
  • Refined package structure - simple modules for models and visualisation, installation using toml file
  • Spectral attributions using LIME
  • CUDA compatibility of LIME

meteors 0.0.1 (2024-06-02)

  • No release
  • Prepared a simple draft of package along with some ideas and sample files for implementation of LIME for hyperspectral images.
  • Segmentation mask for LIME using slic
  • Spatial attributions using LIME