Skip to main content

A package to calculate and find the best similarity between binary data features

Project description

GitHub Documentation Status

Measurenary

Measurenary is a Python library for computing your suitable similarity matrix from your binary data.

Installation

To use Measurenary, first install it using pip:

   (.venv) $ pip install measurenary

Get started

To get started, you can import the library and use the AgglomerativeBestMeasure or PairBestMeasure class:

   import measurenary

   # Instatntiate a Measurenary object
   aggbs = measurenary.AgglomerativeBestMeasure()
   
   # Call the fit function
   aggbs.fit(X)

   # Print out the result
   print(aggbs.get_result())

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

measurenary-1.0.1.tar.gz (13.9 kB view details)

Uploaded Source

Built Distribution

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

measurenary-1.0.1-py3-none-any.whl (15.1 kB view details)

Uploaded Python 3

File details

Details for the file measurenary-1.0.1.tar.gz.

File metadata

  • Download URL: measurenary-1.0.1.tar.gz
  • Upload date:
  • Size: 13.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for measurenary-1.0.1.tar.gz
Algorithm Hash digest
SHA256 8a1deeb69d4c875985bb1a26edad564909f8bb2c2934912c64aba6f99325eed4
MD5 f36c29efca5aaccbf3206c439e814190
BLAKE2b-256 9d579bbb05cbaf1514ef78e87be71dae612166813fcebe90fc34880262fecda9

See more details on using hashes here.

File details

Details for the file measurenary-1.0.1-py3-none-any.whl.

File metadata

  • Download URL: measurenary-1.0.1-py3-none-any.whl
  • Upload date:
  • Size: 15.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for measurenary-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 1ce9f3caa15c2c87d21de98dd819a7c7c9daa373038c988c066276f785f0f94d
MD5 36bfcc9625660048e64ed30eef2d061e
BLAKE2b-256 6d1dadcf1ef34cdfd12e7cd93c5c3457bb38aaf93a9517a7799709aa3c1a96eb

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