Skip to main content

A powerful Automated Machine Learning python library.

Project description

docs/logos/logo.png

Documentation Status PyPI version Build Status GitHub Issues codecov License Downloads Python Versions


MLBox is a powerful Automated Machine Learning python library. It provides the following features:

  • Fast reading and distributed data preprocessing/cleaning/formatting

  • Highly robust feature selection and leak detection

  • Accurate hyper-parameter optimization in high-dimensional space

  • State-of-the art predictive models for classification and regression (Deep Learning, Stacking, LightGBM,…)

  • Prediction with models interpretation

For more details, please refer to the official documentation


How to Contribute

MLBox has been developed and used by many active community members. Your help is very valuable to make it better for everyone.

  • Check out call for contributions to see what can be improved, or open an issue if you want something.

  • Contribute to the tests to make it more reliable.

  • Contribute to the documents to make it clearer for everyone.

  • Contribute to the examples to share your experience with other users.

  • Open issue if you met problems during development.

For more details, please refer to CONTRIBUTING.

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

mlbox-0.8.5.tar.gz (31.7 kB view details)

Uploaded Source

Built Distributions

mlbox-0.8.5-py3.7.egg (98.4 kB view details)

Uploaded Source

mlbox-0.8.5-py3.6.egg (98.3 kB view details)

Uploaded Source

mlbox-0.8.5-py3.5.egg (99.7 kB view details)

Uploaded Source

File details

Details for the file mlbox-0.8.5.tar.gz.

File metadata

  • Download URL: mlbox-0.8.5.tar.gz
  • Upload date:
  • Size: 31.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.5.6

File hashes

Hashes for mlbox-0.8.5.tar.gz
Algorithm Hash digest
SHA256 678a6487ad0ab45a1cc79f85e3059c059c3afb7613f101d0621771934d665a81
MD5 d31707926eaf729a844cb8a2d0708c25
BLAKE2b-256 7a266236ca21e762067fbb7a6cd388fc9812380af88ae007ca42da9ef6384ed8

See more details on using hashes here.

File details

Details for the file mlbox-0.8.5-py3.7.egg.

File metadata

  • Download URL: mlbox-0.8.5-py3.7.egg
  • Upload date:
  • Size: 98.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.1

File hashes

Hashes for mlbox-0.8.5-py3.7.egg
Algorithm Hash digest
SHA256 b2db43214296943d722f863a896efef3cad80b855e2be3265ff16fab8d8256e8
MD5 e8455e1fb527f778d19ff78ad3060d8d
BLAKE2b-256 a14c71bc0014b40d2689d9d4fbf8aee30bc3e64e41741b081cdd2538c49a2640

See more details on using hashes here.

File details

Details for the file mlbox-0.8.5-py3.6.egg.

File metadata

  • Download URL: mlbox-0.8.5-py3.6.egg
  • Upload date:
  • Size: 98.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.6.7

File hashes

Hashes for mlbox-0.8.5-py3.6.egg
Algorithm Hash digest
SHA256 8253808c24f84b81a5cd2b43e2119b22982365168dab77be0873e2e32ccae6a7
MD5 8cc2778b2363c76217522a36c6b452e2
BLAKE2b-256 9d7a2dc375c3748b0956d7dd6c1acfadfad5ef46d61507c6d91fc0a9ec265352

See more details on using hashes here.

File details

Details for the file mlbox-0.8.5-py3.5.egg.

File metadata

  • Download URL: mlbox-0.8.5-py3.5.egg
  • Upload date:
  • Size: 99.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.5.6

File hashes

Hashes for mlbox-0.8.5-py3.5.egg
Algorithm Hash digest
SHA256 b0423291dc1b38a9c2f9cf8a35e23b401ab9b0370553dc323739aa7a94dec8af
MD5 281c6842ac0b4eb4ec364624de34e0c0
BLAKE2b-256 4a7c7aca84e90894ab764fab79a8d871efc304322f30ac190c72156b59c3a5b2

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