v0.6.0

v0.6.0 (2021-07-08)

Full Changelog

Added

• New feature AnchorText now supports sampling according to masked language models via the transformers library. See docs and the example for using the new functionality.
• Breaking change due to the new masked language model sampling for AnchorText the public API for the constructor has changed. See docs for a full description of the new API.
• AnchorTabular now supports one-hot encoded categorical variables in addition to the default ordinal/label encoded representation of categorical variables.
• IntegratedGradients changes to allow explaining a wider variety of models. In particular, a new forward_kwargs argument to explain allows passing additional arguments to the model and attribute_to_layer_inputs flag to allow calculating attributions with respect to layer input instead of output if set to True. The API and capabilities now track more closely to the captum.ai PyTorch implementation.
• Example of using IntegratedGradients to explain transformer models.
• Python 3.9 support.

Fixed

• IntegratedGradients - fix the path definition for attributions calculated with respect to an internal layer. Previously the paths were defined in terms of the inputs and baselines, now they are correctly defined in terms of the corresponding layer input/output.