The python library for data valuation

pyDVL collects algorithms for data valuation and influence function computation. For the full list see Methods. It supports out-of-core and distributed computation, as well as local or distributed caching of results.

If you're a first time user of pyDVL, we recommend you to go through Getting started.

• Getting started

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  Steps to install and requirements

• Example gallery

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  Notebooks with worked-out examples of data valuation and influence functions

• Data valuation

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  Basics of data valuation and description of the main algorithms

• Influence Function

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  An introduction to the influence function and its computation with pyDVL

• Supported methods

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  List of all methods implemented with references.

• API Reference

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  Full documentation of the API