Quickly build Explainable AI dashboards that show the inner workings of so-called « blackbox » machine learning models.

https://github.com/oegedijk/explainerdashboard

GitHub – oegedijk/explainerdashboard: Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
Below a multi-line example, adding a few extra parameters. You can group onehot encoded categorical variables together using the cats parameter. You can either pass a dict specifying a list of onehot cols per categorical feature, or if you encode using e.g. pd.get_dummies(df.Name, prefix=[‘Name’]) (resulting in column names ‘Name_Adam’, ‘Name_Bob’) you can simply pass the prefix ‘Name’:
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