Skip to main content

Multiple Frequency Estimation Under Local Differential Privacy in Python

Project description

Multi-Freq-LDPy: Multiple Frequency Estimation Under Local Differential Privacy in Python

Installation. This package can be easily installed with pip: pip install multi-freq-ldpy

Requirements: numpy numba

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

multi-freq-ldpy-0.1.3.tar.gz (11.7 kB view details)

Uploaded Source

File details

Details for the file multi-freq-ldpy-0.1.3.tar.gz.

File metadata

  • Download URL: multi-freq-ldpy-0.1.3.tar.gz
  • Upload date:
  • Size: 11.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.8

File hashes

Hashes for multi-freq-ldpy-0.1.3.tar.gz
Algorithm Hash digest
SHA256 86d5126955b55b475010478799e1cc9feb02d4bd1402c919797be676b4477219
MD5 ec1da1ff457174d81a1deff426e30cf3
BLAKE2b-256 ec921f87ad9b7891a80adf944a2a5698ea0d8cecb6c41f15aea03072f83949ae

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