From 713d96d17ea172f2d979113ff97c05486d7eff64 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?David=20M=C3=A9tivier?=
 <46794064+dmetivie@users.noreply.github.com>
Date: Thu, 23 Mar 2023 00:25:46 +0100
Subject: [PATCH] add svg in docs

---
 docs/src/benchmarks.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/src/benchmarks.md b/docs/src/benchmarks.md
index cf7c191..1c6b5bf 100644
--- a/docs/src/benchmarks.md
+++ b/docs/src/benchmarks.md
@@ -20,7 +20,7 @@ You can find the code in [here](https://github.com/dmetivie/ExpectationMaximizat
 
 **Conclusion: this package is about 2 to 10 times faster than Python or R implementations and as about as fast as the dedicated package for GaussianMixturesModel.jl**
 
-![timing_K_2_rudimentary.svg](../../benchmarks/timing_K_2_rudimentary_wo_memory_leak.svg)
+![timing_K_2_rudimentary_wo_memory_leak](https://user-images.githubusercontent.com/46794064/227060680-6027bca0-e0f7-44f2-9365-b8f1c9858e8e.svg)
 
 [^1]: I would have loved that `@btime` with `RCall` and `PyCall` would just [work](https://discourse.julialang.org/t/benchmarking-julia-vs-python-vs-r-with-pycall-and-rcall/37308). 
 I did compare with `R` `microbenchmark` and Python `timeit` (not a pleasing experience).