The python library for data valuation

pyDVL collects algorithms for data valuation and influence function computation. It runs most of them in parallel either locally or in a cluster and supports distributed caching of results.

If you're a first time user of pyDVL, we recommend you to go through the Getting Started and Installing pyDVL guides.

Installation

Steps to install and requirements

Data valuation

Basics of data valuation and description of the main algorithms

Influence Function

An introduction to the influence function and its computation with pyDVL

Browse the API

Full documentation of the API

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Last update: 2023-09-01
Created: 2021-04-01