Skip to main content

This is a Python package designed for modeling and analyzing treatment effects to optimize user segmentation and uplift strategies.

Project description

The author of this package has not provided a project description

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

UpliftSegmentation-0.2.tar.gz (8.3 kB view details)

Uploaded Source

Built Distribution

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

UpliftSegmentation-0.2-py3-none-any.whl (8.4 kB view details)

Uploaded Python 3

File details

Details for the file UpliftSegmentation-0.2.tar.gz.

File metadata

  • Download URL: UpliftSegmentation-0.2.tar.gz
  • Upload date:
  • Size: 8.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.14

File hashes

Hashes for UpliftSegmentation-0.2.tar.gz
Algorithm Hash digest
SHA256 d0ac50386439f99b87cb4c320845cfd8d103729b2fba485697bf12ac3d9ceb96
MD5 d68d8cbc5a01a3dce090d977f538f585
BLAKE2b-256 8ec71ed2469907da70988db4d22d15315b934a31c86ebd83f7bd63b312bf660e

See more details on using hashes here.

File details

Details for the file UpliftSegmentation-0.2-py3-none-any.whl.

File metadata

File hashes

Hashes for UpliftSegmentation-0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 869f5fb5e8bbcef07cdc774faf4caa6cf0a7409a03e819789b6c2dc7b4d7cc20
MD5 579cc8ee19d28290ead79483111a33f5
BLAKE2b-256 ad8e0f12d24fa768feed6c2d67829085928a8bb5b0d113ce0de4b3e09ca0e956

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