groufi 0.0.3

A small library to compute group feature importance

Group feature importance

This release looks at the role of joint feature importance for explainability in instances where features may be highly correlated when providing an output. Specifically, the method operates by regrouping the correlated features and then looking at the group-level impact of imputation. Doing so allows us to consider the impact of a joint permutation of the correlated features.

Examples

Some examples are available in examples

Installation

Installing with pip

This repository is tested on Python 3.9, and Linux systems. It is recommended to install in a virtual environment to keep your system in order. The following command installs the latest version of the library:

pip install groufi

Installing from source

To install groufi from source, you can follow the steps below. First, you will need to install poetry. poetry is used to manage and install the dependencies. If poetry is already installed on your machine, you can skip this step. There are several ways to install poetry so you can use the one that you prefer. You can check the poetry installation by running the following command:

poetry --version

Then, you can clone the git repository:

git clone [e-mail]:BorealisAI/group-feature-importance.git

Then, it is recommended to create a Python 3.8+ virtual environment. This step is optional so you can skip it. To create a virtual environment, you can use the following command:

make conda

It automatically creates a conda virtual environment. When the virtual environment is created, you can activate it with the following command:

conda activate groufi

This example uses conda to create a virtual environment, but you can use other tools or configurations. Then, you should install the required package to use groufi with the following command:

make install

This command will install all the required packages. You can also use this command to update the required packages. This command will check if there is a more recent package available and will install it. Finally, you can test the installation with the following command:

make test

License

This repository is released under the Attribution-NonCommercial-ShareAlike 4.0 International license as found in the LICENSE file.