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mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
In the MLJAR AutoML (https://github.com/mljar/mljar-supervised) you have mode Explain which is designed to explain data with ML. With this mode you will get a lot of explanations for your data: SHAP plots, decision tree visualization, decision rules in text format, feature importance. If you run the AutoML in Compete mode the Golden Features will be searched and constructed, maybe you will find some new features that have meaning for the business. In case of any questions, I'm happy to help!
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