A low code, low-cost AutoML solution for tabular data.
Project description
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
- 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
- Run the container
$ docker run -dp 8000:8000 tabular-automl:latest
- Visit localhost:8000 in your browser
- Select a task type and upload your data
- 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.
-
Install the package from PyPI
# using pip $ pip install tabular-automl # using pipenv $ pipenv install tabular-automl --skip-lock
-
View example usage in the following Kaggle notebook:
https://www.kaggle.com/harisonmwangi/tabular-automl/
License
The project is licensed under the MIT license.
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