Tools for machine learning model validation
Project description
Probatus
Overview
Probatus is a Python library that allows to analyse binary classification models as well as the data used to develop them. The main features assess the metric stability and analyse differences between two data samples e.g. shift between train and test splits.
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 .
Documentation
Documentation can be found here.
Contribution
To learn more about making a contribution to probatus, please see CONTRIBUTING.md.
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| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size probatus-1.5.1-py3-none-any.whl (108.9 kB) | File type Wheel | Python version py3 | Upload date | Hashes View |
| Filename, size probatus-1.5.1.tar.gz (1.1 MB) | File type Source | Python version None | Upload date | Hashes View |
