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Tools for machine learning model validation

Project description

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Probatus

Overview

Probatus is a Python library that standardizes and collects different validation steps to be performed on the models. It focuses on binary classification models to test and measure model robustness.

Installation

In order to install probatus you need to use Python 3.6 or higher.

You can install probatus using pip:

pip install probatus

Alternatively you can fork/clone and run:

git clone https://gitlab.com/ing_rpaa/probatus.git
cd probatus
pip install .

Dependencies

Probatus requires to install:

  • scikit-learn (>= 0.22.2)
  • pandas (>= 0.25)
  • matplotlib (>= 3.1.1)
  • scipy (>= 1.4.0)
  • joblib (>= 0.13.2)
  • tqdm (>= 4.41.0)

For packages required for development, please refer to requirements.txt.

Documentation

Latest documentation can be found here.

Contribution

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

Project details


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Source Distribution

probatus-1.0.1.tar.gz (30.0 kB view hashes)

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