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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Release files for dinf 0.5.0
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Source distribution (sdist)
| File | Size | Uploaded | |
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| dinf-0.5.0.tar.gz | 353.0 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dinf-0.5.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 417.8 kB
Release files / dinf-0.5.0.tar.gz
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| Size | 353.0 kB |
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Release files / dinf-0.5.0-py3-none-any.whl
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| Size | 64.7 kB |
| Tags | Python 3 |
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