A library that helps to explain AI models in a really quick & easy way
Project description
Requirements
Python version
- Main supported version : 3.9
- Other supported versions : 3.7 & 3.8
To use the scripts on your computer, please make sure you have one of these versions installed.
Install environment & dependencies
In order to install the current repo you have 2 options:
- Pip install it directly from git inside your prefered repo and use it as a package
Installation as a package
In order to use the current repo as a package you need to run the command below inside your project.
pip install easy-explain
Information about the functionality
easy-explain uses under the hood Captum. Captum aids to comprehend how the data properties impact the model predictions or neuron activations, offering insights on how the model performs. Captum comes together with Pytorch library.
Currently easy-explain is working only for images and only for Pytorch.
You can import the main function of the package 'run_easy_explain' directly as:
from easy_explain.easy_explain import run_easy_explain
For more information about how to begin have a look at the examples notebooks.
How to contribute?
We welcome any suggestions, problem reports, and contributions! For any changes you would like to make to this project, we invite you to submit an issue.
For more information, see CONTRIBUTING
instructions.
Project details
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