ing-bank/probatus

SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.

153

stars

528

commits

Python

primary language

Apr 19, 2025

updated

ing-bank.github.io/probatus

binary-classifiers

data-analysis

data-science

feature-elimination

machine-learning

multi-class-classification

recursive-feature-elimination

regressors

shap

statistics

tree-model

Browse cluster: Python Data Science & Analysis →

README

GitHub contributors

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 provides shap-based model interpretation tools
probatus.sample_similarity to compare two datasets using resemblance modelling, f.e. train with out-of-time test.
probatus.feature_elimination.ShapRFECV provides cross-validated Recursive Feature Elimination using shap feature importance.

Installation

pip install probatus

Documentation

Documentation at ing-bank.github.io/probatus/.

You can also check out blog posts about Probatus:

Contributing

To learn more about making a contribution to Probatus, please see CONTRIBUTING.md.

Contributors

126 commits

89 commits

79 commits

63 commits

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ing-bank/probatus

SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.

153

stars

528

commits

Python

primary language

Apr 19, 2025

updated

ing-bank.github.io/probatus

binary-classifiers

data-analysis

data-science

feature-elimination

machine-learning

multi-class-classification

recursive-feature-elimination

regressors

shap

statistics

tree-model

Browse cluster: Python Data Science & Analysis →

README

GitHub contributors

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 provides shap-based model interpretation tools
probatus.sample_similarity to compare two datasets using resemblance modelling, f.e. train with out-of-time test.
probatus.feature_elimination.ShapRFECV provides cross-validated Recursive Feature Elimination using shap feature importance.

Installation

pip install probatus

Documentation

Documentation at ing-bank.github.io/probatus/.

You can also check out blog posts about Probatus:

Contributing

To learn more about making a contribution to Probatus, please see CONTRIBUTING.md.

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🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent…

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mmschlk/shapiq

Shapley Interactions and Shapley Values for Machine Learning

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shap/shap

A game theoretic approach to explain the output of any machine learning model.

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The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

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Contributors

126 commits

89 commits

79 commits

63 commits

Languages

Python

100.0%