Science Score: 26.0%

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Repository

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  • Host: GitHub
  • Owner: diegodimer
  • Language: HTML
  • Default Branch: main
  • Size: 75.7 MB
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Created over 2 years ago · Last pushed about 2 years ago
Metadata Files
Readme Citation

README.md

Evaluating Pre-Training Bias on Severe Acute Respiratory Syndrome Dataset

Description

This is the code used for the paper Evaluating Pre-Training Bias on Severe Acute Respiratory Syndrome Dataset for CMP273- 2023/2

Installation

To set up the project, follow these steps:

  1. Create a virtual environment using Python's venv:

    bash python -m venv env

  2. Activate the virtual environment:

- On Windows:

    ```bash
    .\env\Scripts\activate
    ```

- On macOS and Linux:

    ```bash
    source env/bin/activate
    ```
  1. Install the project dependencies:

    bash pip install -r requirements.txt

The experiment codes are under SRAG/main.py The datasets can be found at https://opendatasus.saude.gov.br/dataset/srag-2021-a-2023 and should be placed under resources/datasets (to be found by the SRAG/data.py code)

Owner

  • Name: Diego Dimer
  • Login: diegodimer
  • Kind: user

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Dependencies

.github/workflows/pylint.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v3 composite
requirements.txt pypi
  • altair ==5.1.2
  • geopandas ==0.13.2
  • numpy ==1.24.2
  • pandas ==2.1.1
  • plotly ==5.18.0
  • pyfunctional ==1.4.3
  • pylint ==3.0.2
  • streamlit ==1.28.2