harisonmg/tabular-automl

A low code, low-cost AutoML solution for tabular data.

tabular-automl

A low code, low-cost AutoML solution for tabular data.

Installation and usage

tabular-automl is available as a Python package, as well as a web application in a docker container.

Using the web application

1. Pull the container from one of the supported registries

   # docker hub
   $ docker pull harisonmg/tabular-automl:latest
   
   # GitHub packages
   $ docker pull ghcr.io/harisonmg/tabular-automl:latest
   

2. Run the container
   $ docker run -dp 8000:8000 tabular-automl:latest
3. Visit localhost:8000 in your browser
4. Select a task type and upload your data
5. Wait for a few minutes and you'll get a trained model as well as sample predictions

Using the Python package

This assumes you have basic knowledge of Python.

1. Install the package from PyPI

   # using pip
   $ pip install tabular-automl
   
   # using pipenv
   $ pipenv install tabular-automl --skip-lock
   

2. View example usage in the following Kaggle notebook:
   https://www.kaggle.com/harisonmwangi/tabular-automl/

License

The project is licensed under the MIT license.