| Surname | Name | Contact Info |
|---|---|---|
| Ambrosini Barzaghi | Riccardo | riccardo1.ambrosini@mail.polimi.it |
| Bonalumi | Marco | marco1.bonalumi@mail.polimi.it |
| Careddu | Gianmario | gianmario.careddu@mail.polimi.it |
| Giaccaglia | Pablo | pablo.giaccaglia@mail.polimi.it |
| Zoccheddu | Sara | sara.zoccheddu@mail.polimi.it |
This repository contains the implementation of the project Advertising and Social Influence for the 2021/2022 edition of the Online Learning Applications course at Politecnico di Milano.
In the simulations folders there are 6 runnable files, one for each required step. They all call SimulationHandler, that has a number of settable parameters. The most notable one is plot_regressor_progress, which accepts as parameter the name of one learner to dynamically print the learnt curve. e.g. plot_regressor_progress=BanditNames.GPTS_Learner.name. See learners for the other learners.
Clone and install:
git clone https://github.com/gccianmario/Online-learning-application-projects/
pip install -r requirements.txt- scikit-learn>=1.0.2
- seaborn>=0.10.1
- numpy>=1.21.5
- pandas>=1.4.2
- scipy>=1.7.3
- matplotlib>=3.5.1
- tqdm==4.64.0
- progressbar2==3.37.1