athrvkk/ANGST

1

stars

170

commits

Jupyter Notebook

primary language

Aug 17, 2024

updated

README

mental-health-comorbitidy-classification

Getting Started

  1. Make sure you have git, python(>=3.8, <3.10), poetry installed. Preferably within a virtual environment.

  2. Install dependencies

cd mental-health-comorbitidy-classification
poetry install
git init
git add .
git commit -m "add: initial commit."

Directory Structure

FileDescription
projectMain directory containing all the code
project/dataData directory containing the train, test and annotation files
project/credsDirectory containing all API access credentials ( aws / open-ai )
project/runsDirectory to keep track of all model runs (train / eval). For each run, we store the best_model, classfication args, eval results, metrics, etc.
project/utilsProgram containing utility functions
project/constantsProgram for accessing costant variables, shared variables or default configs
CHANGELOG.mdTrack changes in the code, datasets, etc.
LICENSEDepending on your usage choose the correct copy, don't keep the default!
pyproject.tomlTrack dependencies here. Also, this means you would be using poetry.
README.mdThis must ring a bell.

Contributors

AmeyHengle

80 commits

athrvkk

74 commits

shantpat

12 commits

sathvik2612

4 commits

athrvkk/ANGST

1

stars

170

commits

Jupyter Notebook

primary language

Aug 17, 2024

updated

README

mental-health-comorbitidy-classification

Getting Started

  1. Make sure you have git, python(>=3.8, <3.10), poetry installed. Preferably within a virtual environment.

  2. Install dependencies

cd mental-health-comorbitidy-classification
poetry install
git init
git add .
git commit -m "add: initial commit."

Directory Structure

FileDescription
projectMain directory containing all the code
project/dataData directory containing the train, test and annotation files
project/credsDirectory containing all API access credentials ( aws / open-ai )
project/runsDirectory to keep track of all model runs (train / eval). For each run, we store the best_model, classfication args, eval results, metrics, etc.
project/utilsProgram containing utility functions
project/constantsProgram for accessing costant variables, shared variables or default configs
CHANGELOG.mdTrack changes in the code, datasets, etc.
LICENSEDepending on your usage choose the correct copy, don't keep the default!
pyproject.tomlTrack dependencies here. Also, this means you would be using poetry.
README.mdThis must ring a bell.

Contributors

AmeyHengle

80 commits

athrvkk

74 commits

shantpat

12 commits

sathvik2612

4 commits

Languages

Jupyter Notebook

95.9%

Python

3.5%