https://github.com/emilemathieu/gaussianprocessbandits
https://github.com/emilemathieu/gaussianprocessbandits
Last synced: 5 months ago
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- Host: GitHub
- URL: https://github.com/emilemathieu/gaussianprocessbandits
- Owner: emilemathieu
- Created: 2017-01-05T16:49:55.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2017-01-06T09:12:31.000Z (over 9 years ago)
- Last Synced: 2025-06-04T19:23:13.295Z (about 1 year ago)
- Language: TeX
- Size: 443 KB
- Stars: 2
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Graphs in ML Project: Gaussian Process Optimization in the Bandit Setting
## Report
The report is the file ```Rapport/report.pdf```. It has been written in Latex and sources are in the folder ```Rapport```.
## Data
Temperature data are in the file ```data/temperature/1h_1month.csv```.
Trafic data are in the file ```data/traffic/san_diego_sb5_filtered_6-11am.csv```.
Trafic data has been gathered by scheduling as a cronjob the python script ```data/traffic/traffic_scraper_san_diego2.py```.
## Code
All project is written in Matlab/Octave (it has not been tested with Octave, but it should be compatible).
To run experiments on synthetic data, run the script ```main_synthetic.m```
For experiments on temperature data, run the script ```main_temperature.m```
Finally, for experiments on trafic data, run the script ```main_trafic.m```