Quick Start

This guide explains how to quick install and run the application, to obtain our result.

Clone the project

First, you have to clone the project in the directory you want by copying the following cell.

$ git clone https://github.com/AI-Studi05/DatAnalyzer.git

Create the environment

Once the project is cloned, go at the root of the project “DatAnalyzer” to set-up the virtual environment. You can do it quickly by running the command:

$ make welcome

This command will install and activate the virtual environment on your local machine.

Install the package

When the environment is installed and activate, we can download the packages by running:

$pipenv install

For your reference, the paper tables are repeated below, so you can check the reproducibility of our solution. Check that the environment is activate.

Running the app

All the result

From here, the result can be quickly re-generated by running the following command:

$python DatAnalyzer/main.py

Specific Result

In case you want specific result you can specify arguments when running the scripts. There are 4 arguments:

  • protocols :Random_State1; Random_State_2; Random_State_3

  • model : Linear_Regression; Decision_Tree_Classifier

  • dataset : House; White_wine; Red_wine

  • scaling : max_scaling, z-normalisation, polynomial_features

In case there is no specification, it will run for all. Exemple:

$python DatAnalyzer/main.py --protocol Linear_Regression --dataset House