Install the explainX library by calling the
$pip install explainx function in your Jupyter notebook.
Import our library and initiate the main function. Pass in your test dataset, machine learning model and the name of the model.
Insights are delivered in easy-to-navigate graphs and cross-tabs so you can easily draw insights that can help you build trustworthy and unbiased AI solutions.
Explain the unexplainable
Easily understand every single prediction made by your AI model and spot errors.
Democratize your findings
Easily generate reports and share your findings with your team.
Human-AI working together
Ensure human oversight to enable compliance with industry and government regulations