Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/valentingol/ramp-huawei2021
https://github.com/valentingol/ramp-huawei2021
Last synced: 2 days ago
JSON representation
- Host: GitHub
- URL: https://github.com/valentingol/ramp-huawei2021
- Owner: valentingol
- Created: 2021-06-20T14:34:39.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2021-06-26T22:20:50.000Z (over 3 years ago)
- Last Synced: 2024-10-12T16:35:59.650Z (about 1 month ago)
- Language: Python
- Size: 85 KB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Huawei RAMP 2021 GOLDITE PESCE RHIM
Repository for the Huawei RAMP 2021 competition (OAN failure challenge).
Authors: Valentin GOLDITE Florian PESCE Ayoub RHIM## Install dependencies
Run this line in the repository folder:
```bash
pip install -r requirements.txt
```Main package installed are:
- [ramp-workflow](https://github.com/ramp-kits/oan_failure) project
- [oan_failure](https://github.com/ramp-kits/oan_failure) project
- pytorch-cpu (1.9)
- lightgbm
- pandas
- scikit-learn
- matplotlib## Download and prepare data
First download the file **public_data.tar.bz2** from the slack channel *#oan_failure_challenge*
Unzip content in **Huawei2021** folder.
Run prepare data script:
```bash
python data/prepare_data.py
```Moove city_A and city_B folder in the data folder:
```bash
mv city_A city_B data/
```