From a83b279c98b47d89c2925f985ab32eb9ef075364 Mon Sep 17 00:00:00 2001 From: Seth Axen Date: Tue, 19 Mar 2024 18:36:46 +0100 Subject: [PATCH] Note ADTypes support --- docs/src/index.md | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/src/index.md b/docs/src/index.md index 4cc49757..c2469b9e 100644 --- a/docs/src/index.md +++ b/docs/src/index.md @@ -40,6 +40,7 @@ See [Initializing HMC with Pathfinder](@ref) for details. Pathfinder uses several packages for extended functionality: - [Optimization.jl](https://optimization.sciml.ai/stable/): This allows the L-BFGS optimizer to be replaced with any of the many Optimization-compatible optimizers and supports use of callbacks. Note that any changes made to Pathfinder using these features would be experimental. +- [ADTypes.jl](https://sciml.github.io/ADTypes.jl/stable/): Supports specifying the automatic differentiation engine to be used for computing gradient and Hessian, if needed. - [Transducers.jl](https://juliafolds.github.io/Transducers.jl/stable/): parallelization support - [Distributions.jl](https://juliastats.org/Distributions.jl/stable/)/[PDMats.jl](https://github.com/JuliaStats/PDMats.jl): fits can be used anywhere a `Distribution` can be used - [LogDensityProblems.jl](https://www.tamaspapp.eu/LogDensityProblems.jl/stable/): defining the log-density function, gradient, and Hessian