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histnet and gmnet manuals update

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Alejandro Moreo Fernandez 2026-10-05 14:46:51 +02:00
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docs/source/manuals/methods.md
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@ -907,7 +907,8 @@ estim_prevalence = model.predict(dataset.test.X)
### HistNetQ ### HistNetQ
QuaPy offers an implementation of HistNetQ, a deep learning model based on a differentiable QuaPy offers an implementation of HistNetQ (based on the [original implementation](https://github.com/pglez82/histnetq)),
a deep learning model based on a differentiable
histogram representation, presented in: histogram representation, presented in:
[_Pérez-Mon, O., Moreo, A., del Coz, J.J., & González, P. (2025). [_Pérez-Mon, O., Moreo, A., del Coz, J.J., & González, P. (2025).
@ -936,7 +937,8 @@ method; see the API documentation for further details.
### GMNet ### GMNet
QuaPy offers an implementation of GMNet, a deep learning model that represents each instance of a QuaPy offers an implementation of GMNet (based on the [original implementation](https://github.com/AICGijon/gmnet)),
a deep learning model that represents each instance of a
bag by its likelihood under one or more learned mixtures of Gaussians, presented in: bag by its likelihood under one or more learned mixtures of Gaussians, presented in:
[_Pérez-Mon, O., del Coz, J.J., & González, P. (2026). [_Pérez-Mon, O., del Coz, J.J., & González, P. (2026).