Strangeness analysis with Machine Learning

This repository aims to store codes for processing/analyses of derived data inside PWGLF.

Installation and usage:

0. An updated version of O2 software is required

1. Clone this repository in a local machine:

git clone https://github.com/gianniliveraro/ML_Strangeness.git

2. Navigate to the top level of the repository and run:

./src/install_mlenv.sh

this creates an environment (called "ML_Env") with miniconda to run python codes for ML analysis.

3. Log out from your account and log in again.

4. Activate the ML_Env environment with:

     conda activate ML_Env

Structure/organization:

├── Dataset
│   ├── Processed                          <- processed data for ML analysis
│   └── Raw                                <- raw AO2D/DATA files
│
├── Codes                                  <- Basic scripts to perform ML analysis
|
├── src                                    <- Installation info and instructions
│   ├── install_mlenv.sh                   <- script to install ML environment with miniconda
│   └── ML_Env.yml                         <- python packages to be installed 
│
├── Results                                <- directory that saves your ML runs + results
│
└── assets                                 <- media files (images, plots, etc)