dinf · PyPI

discriminator-based inference for population genetics

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Project description

Dinf is discriminator-based inference for population genetics. It uses a neural network to discriminate between a target dataset and a simulated dataset. Inference is done by finding simulation parameters that produce data closely matching the target dataset. Dinf provides a Python API for creating simulation models, and a CLI for discriminator training and inference.

See the documentation for details. https://racimolab.github.io/dinf/

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This version

0.5.0

Apr 26, 2023

0.4.0

Mar 15, 2023

0.3.0

Aug 8, 2022

0.2.0

Jul 20, 2022

0.1.0

Dec 8, 2021

0.1.0a3 pre-release

Nov 25, 2021

0.1.0a2 pre-release

Nov 25, 2021

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