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# Probatus

## Overview

**Probatus** is a python package that helps validate regression & (multiclass) classification models and the data used to develop them. Main features:

- [probatus.interpret](https://ing-bank.github.io/probatus/api/model_interpret.html) provides shap-based model interpretation tools
- [probatus.sample_similarity](https://ing-bank.github.io/probatus/api/sample_similarity.html) to compare two datasets using resemblance modelling, f.e. `train` with out-of-time `test`.
- [probatus.feature_elimination.ShapRFECV](https://ing-bank.github.io/probatus/api/feature_elimination.html) provides cross-validated Recursive Feature Elimination using shap feature importance.

## Installation

```bash
pip install probatus
```

## Documentation

Documentation at [ing-bank.github.io/probatus/](https://ing-bank.github.io/probatus/).

You can also check out blog posts about Probatus:

-  [Open-sourcing ShapRFECV — Improved feature selection powered by SHAP.](https://medium.com/ing-blog/open-sourcing-shaprfecv-improved-feature-selection-powered-by-shap-994fe7861560)
-  [Model Explainability — How to choose the right tool?](https://medium.com/ing-blog/model-explainability-how-to-choose-the-right-tool-6c5eabd1a46a)

## Contributing

To learn more about making a contribution to Probatus, please see [`CONTRIBUTING.md`](CONTRIBUTING.md).


Validation of regression & classifiers and data used to develop them. 

Meet the Socket Team at BlackHat and DEF CON in Las Vegas, Aug 7-8

probatus

Validation of regression & classifiers and data used to develop them

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probatus

Probatus

Overview

Installation

Documentation

Contributing

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