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# ExplainableAI.jl
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+ ## Version ` v0.10.0 `
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+ - ![ BREAKING] [ badge-breaking ] Fix default noise level for ` NoiseAugmentation ` ([ #179 ] )
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+ - ![ Enhancement] [ badge-enhancement ] Constant memory input augmentations ([ #180 ] )
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## Version ` v0.9.0 `
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- ![ Feature] [ badge-feature ] Support selection of AD backends via DifferentiationInterface.jl. ([ #167 ] )
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- ![ BREAKING] [ badge-breaking ] For gradient-based XAI methods, an AD backend must now be manually loaded.
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This adds a field to the ` Explanation ` return type and removes the ` add_batch_dim ` keyword argument.
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Refer to the [ XAIBase.jl changelog] ( https://github.com/Julia-XAI/XAIBase.jl/blob/main/CHANGELOG.md#version-v400 ) for more information. ([ #174 ] )
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## Version ` v0.8.0 `
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This release removes the automatic reexport of heatmapping functionality.
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Users are now required to manually load
@@ -221,6 +224,8 @@ Performance improvements:
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[ VisionHeatmaps ] : https://julia-xai.github.io/XAIDocs/VisionHeatmaps/stable/
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[ TextHeatmaps ] : https://julia-xai.github.io/XAIDocs/TextHeatmaps/stable/
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+ [ #180 ] : https://github.com/Julia-XAI/ExplainableAI.jl/pull/180
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+ [ #179 ] : https://github.com/Julia-XAI/ExplainableAI.jl/pull/179
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[ #177 ] : https://github.com/Julia-XAI/ExplainableAI.jl/pull/177
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[ #174 ] : https://github.com/Julia-XAI/ExplainableAI.jl/pull/174
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[ #167 ] : https://github.com/Julia-XAI/ExplainableAI.jl/pull/167
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name = " ExplainableAI"
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uuid = " 4f1bc3e1-d60d-4ed0-9367-9bdff9846d3b"
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authors = [
" Adrian Hill <[email protected] >" ]
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- version = " 0.10.0-DEV "
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+ version = " 0.10.0"
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[deps ]
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ADTypes = " 47edcb42-4c32-4615-8424-f2b9edc5f35b"
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