From 4bddf304f3a7b504dbe12c843d6eee378c6539e6 Mon Sep 17 00:00:00 2001 From: Cesaire Joris Kuete Fouodo Date: Wed, 21 Aug 2024 14:29:15 +0200 Subject: [PATCH] Add cheat sheet --- README.Rmd | 4 +--- README.md | 4 +++- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/README.Rmd b/README.Rmd index 13682e7..5726bab 100644 --- a/README.Rmd +++ b/README.Rmd @@ -46,9 +46,7 @@ knitr::include_graphics("README_files/figure-gfm/fuseMLR_4_blue_bgr.png") The general architecture of `fuseMLR` includes the storage classes `Training`, `Layer`, and `MetaLayer`. `Layer` and `MetaLayer` are stored within a `Training` instance, while `Data`, `Learner`, and `Varselect` (for variable selection) are stored within a `Layer` instance. These components can be used to automatically build and store the `Model` or `MetaModel`. -```{r cheatsheet, echo=FALSE, out.width="70%", out.height="100%"} -knitr::include_graphics("README_files/figure-gfm/fusemlrcheatsheet.png") -``` +Refer to our [cheat sheet](https://github.com/imbs-hl/fuseMLR/blob/master/README_files/figure-gfm/fusemlrcheatsheet.pdf) for a quick overview of classes and functionalities. ### Usage example diff --git a/README.md b/README.md index 439f747..f4694c9 100644 --- a/README.md +++ b/README.md @@ -63,7 +63,9 @@ within a `Training` instance, while `Data`, `Learner`, and `Varselect` components can be used to automatically build and store the `Model` or `MetaModel`. - +Refer to our [cheat +sheet](https://github.com/imbs-hl/fuseMLR/blob/master/README_files/figure-gfm/fusemlrcheatsheet.pdf) +for a quick overview of classes and functionalities. ### Usage example