Skip to main content
Join the official 2019 Python Developers SurveyStart the survey!

Inference algorithms for models based on Luce's choice axiom.

Project description

build status code coverage documentation status

choix is a Python library that provides inference algorithms for models based on Luce’s choice axiom. These probabilistic models can be used to explain and predict outcomes of comparisons between items.

  • Pairwise comparisons: when the data consists of comparisons between two items, the model variant is usually referred to as the Bradley-Terry model. It is closely related to the Elo rating system used to rank chess players.
  • Partial rankings: when the data consists of rankings over (a subset of) the items, the model variant is usually referred to as the Plackett-Luce model.
  • Top-1 lists: another variation of the model arises when the data consists of discrete choices, i.e., we observe the selection of one item out of a subset of items.
  • Choices in a network: when the data consists of counts of the number of visits to each node in a network, the model is known as the Network Choice Model.

choix makes it easy to infer model parameters from these different types of data, using a variety of algorithms:

  • Luce Spectral Ranking
  • Minorization-Maximization
  • Rank Centrality
  • Approximate Bayesian inference with expectation propagation

Getting started

To install the latest release directly from PyPI, simply type:

pip install choix

To get started, you might want to explore one of these notebooks:

You can also find more information on the official documentation. In particular, the API reference contains a good summary of the library’s features.

References

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for choix, version 0.3.3
Filename, size File type Python version Upload date Hashes
Filename, size choix-0.3.3.tar.gz (64.0 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page