NaiveBayesViz

Interactive Streamlit Visualisation for a Naive Bayes Classfier

Usage instructions

1. From the sidebar, select a csv file to get started
2. Also select a probability estimate
3. Wait for the classifier to finish training fitting onto the data
4. Once training in complete, you can explore the calculated probabilities
5. Use the form generated to predict classes for unseen examples

Dev Environment Setup

1. Clone this repo
2. Make sure you have pipenv installed
3. Setup a venv and install dependencies pipenv install
4. Start streamlit with the venv pipenv run streamlit run app.py