Project description

disperseNN2

disperseNN2 is a machine learning framework for predicting σ, the expected per generation displacement distance between offspring and their parent(s), from genetic variation data. disperseNN2 replaces our previous method, disperseNN, by introducing a novel architecture. For details see our preprint.

For installation and usage instructions, see the docs page.

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0.0.7

Nov 14, 2023

0.0.6

Aug 5, 2023

This version

0.0.5

Aug 4, 2023

0.0.4

Jul 29, 2023

0.0.3

Jul 28, 2023

0.0.2

Jul 25, 2023

0.0.1

Jul 25, 2023

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