KnAC is a toolk for expert knowledge extension with a usage of automatic clustering algorithms. It allows to refine expert-based labeling with splits and merges recommendations of expert labeling augmented with explanations. The explanations were formulated as rules and therefore can be easily interpreted incorporated with expert knowledge.
The overall workflow for KnAC is presented in Figure below:
Some of the packages used in KnAC anre not available in conda, hence the following code should set up all of the requirements in virtual environment:
conda create --name knac python=3.8
conda activate knac
conda install pip
pip install -r requirements.txt
After that run jupyter lab and anvigate to examples direcotry to run notebooks.