Tool to make a visualisatio of feature importances comparation for two data models. Creation was initiated on Visualizing Machine Learning 3: cowork/minihackathon by idea of Przemysław Biecek.
Usage: Main function is hidden in the app.py file by the name: two_model_feature_importance_app Run iris_example and then titanic_example to see the visualisations, and inspect their code for an implementation.
To do list:
- make it a package
- check behaviour of the more featured-heavy dataset
- implement interface to work with more feature importances method.