From ad8b3568b35aceee13778bdf3626c10ad1ed583a Mon Sep 17 00:00:00 2001 From: "Thomas J. Fan" Date: Sat, 2 Mar 2024 12:36:13 -0500 Subject: [PATCH] DOC Fixes links for rendered site --- README.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 7189dd2..ad27435 100644 --- a/README.md +++ b/README.md @@ -14,7 +14,7 @@ pip install bayeux-ml ``` ## Quickstart -We define a model by providing a log density in JAX. This could be defined using a probabilistic programming language (PPL) like [numpyro](/examples/numpyro_and_bayeux), [PyMC](/examples/pymc_and_bayeux), [TFP](/examples/tfp_and_bayeux), distrax, oryx, coix, or directly in JAX. +We define a model by providing a log density in JAX. This could be defined using a probabilistic programming language (PPL) like [numpyro](examples/numpyro_and_bayeux), [PyMC](examples/pymc_and_bayeux), [TFP](examples/tfp_and_bayeux), distrax, oryx, coix, or directly in JAX. ```python import bayeux as bx @@ -35,10 +35,10 @@ surrogate_posterior, loss = normal_density.vi.tfp_factored_surrogate_posterior(s ## Read more -* [Defining models](/inference) -* [Inspecting models](/inspecting) -* [Testing and debugging](/debug_mode) -* Also see `bayeux` integration with [numpyro](/examples/numpyro_and_bayeux), [PyMC](/examples/pymc_and_bayeux), and [TFP](/examples/tfp_and_bayeux)! +* [Defining models](inference) +* [Inspecting models](inspecting) +* [Testing and debugging](debug_mode) +* Also see `bayeux` integration with [numpyro](examples/numpyro_and_bayeux), [PyMC](examples/pymc_and_bayeux), and [TFP](examples/tfp_and_bayeux)! *This is not an officially supported Google product.*