From 5d3c2bef16b47272dbd1d09c14ea0f7e7a2daf38 Mon Sep 17 00:00:00 2001 From: Alejandro Moreo Date: Mon, 5 Oct 2026 14:46:51 +0200 Subject: [PATCH] histnet and gmnet manuals update --- docs/source/manuals/methods.md | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/docs/source/manuals/methods.md b/docs/source/manuals/methods.md index 26fea42..dcab373 100644 --- a/docs/source/manuals/methods.md +++ b/docs/source/manuals/methods.md @@ -907,7 +907,8 @@ estim_prevalence = model.predict(dataset.test.X) ### 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: [_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 -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: [_Pérez-Mon, O., del Coz, J.J., & González, P. (2026).