Identify how features influence the output of the model.
Get insights into your model behavior and ensure your model is fair & robust.
Dive deeper into your model by comparing model performance across different cohorts/subsets within your data.
Interpret complex relations between your variables and the model prediction.
Identify which direction the variable is influencing the final prediction.
Generate rules and examples based reasoning to provide easy-to-understand insights.
Use counterfactuals, surrogate decision rules & similar profile to summarize model behavior.
ExplainX is a model agnostic library so that you will never have any customization or integration issues.
Simply plug in any AI model that you use with a single line of code.