K-Associated Optimal Graph implemented using Python.
All the project dependencies can be found under requirements.txt.
pip install -e kaog
Some examples can be found in the main directory.
The KAOG object only requires a dataset to work, containing also the label for each item. The label column is set as
default to target, but can be changed using ColunaYSingleton().NOME_COLUNA_Y = *NAME*.
If the dataset contains categorical data, the columns must be specified when creating the KAOG object.
More documentation should be added later.