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Simple streamlit application to interact with a ML classification model based on PKDD'99 default financial data.

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Tera - Streamlit ML Application

Simple streamlit application to interact with a ML classification model based on PKDD'99 default financial data.

Development Environment

To create the development environment it's recommended to use conda.

Run the following commands to get the environment ready

conda create -n ENVIRONMENT_NAME python=3.8
conda activate ENVIRONMENT_NAME
pip install -r requirements.txt

Creating dataset and model

When running for the first time, dataset should be created and model should be trained with the following commands

python data/build_dataset.py
python model/train.py

Running Locally

To run the streamlit application in your local host use

streamlit run app.py

Application URL

Production: https://default-prediction-app.herokuapp.com/

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Simple streamlit application to interact with a ML classification model based on PKDD'99 default financial data.

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