Rails Issues Analysis

Description

This repository provides some basic analysis of the issues of the Ruby on Rail repository: rails/rails. The repository tries to answer the following questions:

• How do the number of issues evolve over time?
• Are there any periods in which we get more issues?
• Is there anyone who reports more issues than others?
• What is the most popular category (label)?
• Performing basic modeling (pre-trained from Huggingface) to predict the labels for the issues using their description.

Setup

• Install all the dependencies

  • First, install the torch and cudatoolkit using the below script

    • For Windows

    pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118

    • For Linux /Mac

      pip3 install torch torchvision torchaudio

  • Then, Install the other requirements, using the below script

  pip install requriements.txt

• create an env.json file in the directory and store the username and password, such as shown as:

  {
    "username": "YOUR_USERNAME",
    "password": "YOUR_PASSWORD"
  }

Code Execution

Now, everything is ready, execute the code in the Jupyter Notebook file, rails_issues_analysis.ipynb