Skip to main content

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

Project description

Lazy Predict

https://img.shields.io/pypi/v/lazypredict.svg https://img.shields.io/travis/shankarpandala/lazypredict.svg Documentation Status Updates

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

Features

  • TODO

History

0.2.1 (2019-11-18)

  • Release of Regression feature.

0.2.0 (2019-11-17)

  • Release of Classification feature.

0.1.0 (2019-11-16)

  • First release on PyPI.

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

lazypredict-0.2.1.tar.gz (13.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

lazypredict-0.2.1-py2.py3-none-any.whl (7.7 kB view details)

Uploaded Python 2Python 3

File details

Details for the file lazypredict-0.2.1.tar.gz.

File metadata

  • Download URL: lazypredict-0.2.1.tar.gz
  • Upload date:
  • Size: 13.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.8.0

File hashes

Hashes for lazypredict-0.2.1.tar.gz
Algorithm Hash digest
SHA256 96b67e11060fa32c84f27bf3ac518b085d416ff4b40e740528661af0c03345d5
MD5 fb27989925bc7ec136e3557633f96b17
BLAKE2b-256 910a85f1be37d58454eaaa041293fdeea39ca31dae1d3e872952650ab6586243

See more details on using hashes here.

File details

Details for the file lazypredict-0.2.1-py2.py3-none-any.whl.

File metadata

  • Download URL: lazypredict-0.2.1-py2.py3-none-any.whl
  • Upload date:
  • Size: 7.7 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.8.0

File hashes

Hashes for lazypredict-0.2.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 58735fc2611b78c2c8e42509f61943075b889779adaecb02b94fa2e7dba3f490
MD5 1e78df62cf3f3a9a2b19b204401270a4
BLAKE2b-256 244465b04d035c8345795f9ef2ed0cd95ea891c0dc6ca76f368d91d32d501f80

See more details on using hashes here.

Supported by

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