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v0.4 : Faster VAE-based method for CFs, Pytorch and Tensorflow 2.x support
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@amit-sharma amit-sharma released this 22 Sep 06:31
v0.4
d520940

Here's the latest stable version.

  • DiCE now supports Pytorch, Tensorflow 1.x and 2.
  • Includes a Variational AutoEncoder-based method to generate counterfactual examples, based on https://arxiv.org/abs/1912.03277. This method is much faster--try it out!
  • Support for private data, when only aggregate training data statistics are available to generate counterfactuals
  • Updated and faster post-hoc sparsity enhancer module for counterfactuals
  • Includes bug fixes for DiCE and tests for most DiCE functionalities.
  • More notebooks and detailed docs at http://interpret.ml/DiCE/

Big thanks to @raam93 for leading the updates, and to @divyat09 for adding the VAE method.

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