Interpretability and explainability of data and machine learning models.
The AI Explainability 360 toolkit is an open-source library that supports interpretability and explainability of datasets and machine learning models. The AI Explainability 360 Python package includes a comprehensive set of algorithms that cover different dimensions of explanations along with proxy explainability metrics. Note: Due to the number of required packages for aix360 the best way to install this is in a new environment: conda create -n aix360_env -c https://public.dhe.ibm.com/ibmdl/export/pub/software/server/ibm-ai/conda/ -c defaults -c powerai -c conda-forge aix360 powerai=1.6.2 Replace 'powerai=1.6.2' with 'powerai-cpu=1.6.2' to create the environment without GPU support.
