ExplainableAI.jl

ExplainableAI v0.9.0

Diff since v0.8.1

• Support selection of AD backends via DifferentiationInterface.jl. (#167)
• For gradient-based XAI methods, an AD backend must now be manually loaded. To keep using the default Zygote backend, this simply requires adding using Zygote to your code. (#177)
• Gradient, InputTimesGradient and GradCAM analyzers now have an additional backend field and type parameter. (#167)
• Update XAIBase interface to v4. This adds a field to the Explanation return type and removes the add_batch_dim keyword argument. Refer to the XAIBase.jl changelog for more information. (#174)

Merged pull requests:

• Update XAIBase dependency to v4.0.0 (#166) (@adrhill)
• Use DifferentiationInterface for gradient-based analyzers (#167) (@adrhill)
• Update CI workflows (#170) (@adrhill)
• Update CI: Give CompatHelper permission to write PRs (#172) (@adrhill)
• Update CompatHelper v2 (#173) (@adrhill)
• Drop compatibility with pre-LTS versions (#174) (@adrhill)
• Update benchmarks and test them with PkgJogger (#175) (@adrhill)
• Add full example to README (#176) (@adrhill)
• Remove Zygote from dependencies (#177) (@adrhill)

Closed issues:

• Use AbstractDifferentiation.jl (#7)
• Allow selection of AD backends via DifferentiationInterface (#165)
• Update benchmarks (#168)
• Incomplete starter code (#169)
• Update benchmarks and test them with PkgJogger (#171)