From dcb770483460ba891d7d5d90d2a4ec33a13334b5 Mon Sep 17 00:00:00 2001
From: Dean Samuel Schmitz <dean.schmitz@hhu.de>
Date: Wed, 23 Nov 2022 14:53:16 +0000
Subject: [PATCH] Update README.md
---
README.md | 6 ++----
1 file changed, 2 insertions(+), 4 deletions(-)
diff --git a/README.md b/README.md
index 9a59a3c..2f6d369 100644
--- a/README.md
+++ b/README.md
@@ -4,9 +4,7 @@
The Library contains 30 of the Machine Learning Methods from MLpack.
-For example **Linear_SVM**, **KMeans**, **Perceptron**, **Random_Forest**, **Kernel_PCA** ... and more
-
-You can find a full list of the Methods [here](https://gitlab.cs.uni-duesseldorf.de/stups/abschlussarbeiten/prolog-mlpack-libary/-/wikis/Home#prolog-methods).
+For example **Linear_SVM**, **KMeans**, **Perceptron**, **Random_Forest**, **Kernel_PCA** ... and [more](https://gitlab.cs.uni-duesseldorf.de/stups/abschlussarbeiten/prolog-mlpack-libary/-/wikis/Home#prolog-methods)
### Useful Links
@@ -26,7 +24,7 @@ You can find a full list of the Methods [here](https://gitlab.cs.uni-duesseldorf
(Required by the Methods Linear_SVM, LMNN, Logistic_regression and NCA)
5. Change the SPLFR_PATH Variable in the root folder Makefile to your absolute path to the SICStus splfr tool
-6. Run the root folder Makefile using the command: make
+6. Run the root folder Makefile using the command: make (optional if you dont have to change the splfr path and mlpack is installed in the default location)
After that you can use each Method by loading their module with SICStus e.g.
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GitLab