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iNNvestigate v2.0.2
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VERSION.md

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<!--
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# Badges
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![BREAKING][badge-breaking]
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![Deprecation][badge-deprecation]
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![Feature][badge-feature]
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![Enhancement][badge-enhancement]
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![Bugfix][badge-bugfix]
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![Experimental][badge-experimental]
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![Maintenance][badge-maintenance]
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![Documentation][badge-docs]
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-->
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# iNNvestigate Changelog
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## Version 2.0.2
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- ![Bugfix][badge-bugfix] Fix `Perturbate` on RGB images ([#306](https://github.com/albermax/innvestigate/pull/306))
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- ![Bugfix][badge-bugfix] Fix documentation
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- ![Maintenance][badge-maintenance] Support TensorFlow 2.11 ([#300](https://github.com/albermax/innvestigate/pull/300))
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- ![Maintenance][badge-maintenance] Update CI workflows and dev-dependencies ([#301](https://github.com/albermax/innvestigate/pull/301))
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## Version 2.0.1
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- Remove dead `analyzer.fit` code left from PatternNet and PatternAttribution ([#289](https://github.com/albermax/innvestigate/pull/289))
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- Fixes to README and documentation
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- ![Maintenance][badge-maintenance] Remove dead `analyzer.fit` code left from PatternNet and PatternAttribution ([#289](https://github.com/albermax/innvestigate/pull/289))
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- ![Documentation][badge-docs] Fixes to README and documentation
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## Version 2.0.0
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iNNvestigate for TensorFlow 2. This is a [major version release](https://semver.org) and therefore breaking backward compatibility.
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- bug fixes ([#263](https://github.com/albermax/innvestigate/pull/263))
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## Version 1.0.9
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- BatchNormalization Layer compatible with LRP
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- EmbeddingLayer support
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- new Alpha-Beta-LRP-rules
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for details see [PR #222](https://github.com/albermax/innvestigate/pull/222)
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## Version 1.0.8
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Bugfixes, increased code coverage, CI.
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## Version 1.0.7
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Add Python 2 compatibility again.
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Bugfixes.
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## Version 1.0.6
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* Add beta version of DeepLIFT (as in Ancona et.al.) and wrapper for DeepLIFT package.
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* Updating readme and bugfixes.
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## Version 1.0.5
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Treat IntegratedGradients as attribution method and bugfixes.
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## Version 1.0.1-1.0.4
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Added the following functionality:
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* Additional notebooks.
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* Support for read-the-docs documentation.
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## Version 1.0.0
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Includes the following functionality:
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* Analyzers: Gradient, SmoothGrad, IntegratedGradients, PatternNet, PatternAttribution, LRP, DeepTaylor, Input, Random.
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* Pattern computer.
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[badge-breaking]: https://img.shields.io/badge/BREAKING-red.svg
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[badge-deprecation]: https://img.shields.io/badge/deprecation-orange.svg
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[badge-feature]: https://img.shields.io/badge/feature-green.svg
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[badge-enhancement]: https://img.shields.io/badge/enhancement-blue.svg
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[badge-bugfix]: https://img.shields.io/badge/bugfix-purple.svg
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[badge-security]: https://img.shields.io/badge/security-black.svg
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[badge-experimental]: https://img.shields.io/badge/experimental-lightgrey.svg
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[badge-maintenance]: https://img.shields.io/badge/maintenance-gray.svg
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[badge-docs]: https://img.shields.io/badge/docs-orange.svg

pyproject.toml

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[tool.poetry]
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name = "innvestigate"
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version = "2.0.1"
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version = "2.0.2"
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description = "A toolbox to innvestigate neural networks' predictions."
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classifiers = [
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"License :: OSI Approved :: BSD License",

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