Skip to main content

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

Project description

tabular-automl

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

Tests Coverage Status

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tabular-automl-0.2.0a1.tar.gz (6.7 kB view details)

Uploaded Source

Built Distribution

tabular_automl-0.2.0a1-py3-none-any.whl (8.6 kB view details)

Uploaded Python 3

File details

Details for the file tabular-automl-0.2.0a1.tar.gz.

File metadata

  • Download URL: tabular-automl-0.2.0a1.tar.gz
  • Upload date:
  • Size: 6.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.7.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.9.6

File hashes

Hashes for tabular-automl-0.2.0a1.tar.gz
Algorithm Hash digest
SHA256 dd940e1bf2859366c10dcc09af01fd77676bc3357f18ed66c6cf5cc003780974
MD5 f97d38320cccc8a887dbb6874ff01eb7
BLAKE2b-256 b8189f9a75c13b519b77de21cf434e22bf857faefb1f71e01176b79477383370

See more details on using hashes here.

File details

Details for the file tabular_automl-0.2.0a1-py3-none-any.whl.

File metadata

  • Download URL: tabular_automl-0.2.0a1-py3-none-any.whl
  • Upload date:
  • Size: 8.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.7.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.9.6

File hashes

Hashes for tabular_automl-0.2.0a1-py3-none-any.whl
Algorithm Hash digest
SHA256 cfdd23e35ea14f02519095909f8a0a0dd90cd794deaf16aa9b34ef42cf8afed7
MD5 1f8de4e52cfc381afc4b6842c05eb9fe
BLAKE2b-256 029b084ebf46971b8c902ee2f3018b119af336db0f1107d70a348e27e66eb155

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page