vaasu2002 / Fake-News-Detecting-Training-Pipeline

This pipeline aims to address this issue by providing an efficient and automated way to update the models with the latest fake news data.

Fake-News-Detecting-Training-Pipeline

This project aims to create a pipeline for retraining Natural Language Processing (NLP) models on new data to ensure that they continue to perform well over time. Deployed machine learning models are often static and can become outdated if they are not updated with new data. This pipeline aims to address this issue by providing an efficient and automated way to update the models with the latest data.

Installation

1) Creating conda environment

conda create -p env python==3.9 -y

2) Activing conda environment

source activate ./env

3) Installing all dependencies

pip install -r requirements.txt

Contributing

We welcome contributions from the community! To contribute to this project, please follow these steps:

Fork this repository. Create a new branch with your changes. Submit a pull request with your changes. We will review your changes and merge them if they meet our criteria.

License

This project is licensed under the MIT License. See the LICENSE file for more information.