From bcc15c5baba2ed87ca17b6c4a413abdf8eba889e Mon Sep 17 00:00:00 2001
From: Daniel Autenrieth <daniel.autenrieth97@gmx.de>
Date: Tue, 29 Nov 2022 17:14:23 +0100
Subject: [PATCH] Update README.md
---
README.md | 12 ++++++------
1 file changed, 6 insertions(+), 6 deletions(-)
diff --git a/README.md b/README.md
index 1eba657..9c78eb8 100644
--- a/README.md
+++ b/README.md
@@ -4,19 +4,19 @@ This repository contains the first draft of the programming part for the master
## Installation
-To interpret the included Python code, the OGB library is required. Follow the instructions on the official homepage:
+To interpret the included Python code, the OGB library is required. Follow the instructions on the official homepage:<br />
https://ogb.stanford.edu/docs/home/
-To follow the complete process libFM is necessary. The software can be easily cloned from the following repository:
+To follow the complete process libFM is necessary. The software can be easily cloned from the following repository:<br />
https://github.com/srendle/libfm
Use the following folder structure:
- ├──MasterThesisProposal
+ ├── MasterThesisProposal
│ ├── libfm
│ │ ├── libfm.exe
- │ │ ├── Generated data files
- │ │ ├── Prediction file (after execution)
+ │ │ ├── Generated data files (move here after python execution)
+ │ │ ├── Prediction file (after libfm execution)
│ ├── Python
│ │ ├── DataPrePro & Evaluation
@@ -25,7 +25,7 @@ Use the following folder structure:
Start the downloaded Python file and follow the instructions. The first time you run it, the dataset is downloaded and a folder is created for it. After creating the data files you have to run libFM. To do this, copy your generated data into the libFM folder. A more detailed description of how to start the program and how it works can be found in the ReadMe of the libFM repository. The program will then generate a prediction file based on your files. After this file appears in the libFM folder you can run the Python file and look at the evaluation metrics.
-> At the moment the number of examples are limited. If you want to change the value, do it in the following line:
+>At the moment the number of examples are limited. If you want to change the value, do it in the following line:
```python
if index >= 200000:
break
--
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