Skip to main content

Calcalating different of averages for DL pooling tasks

Project description

Generalized Average

Creating a set of routines that calcualte different types of averages

The motivation is handling polling problems where we wish to mdofiy max and mean to a wider set of tools

As it compares means , we foucs only on positive data

When you wish to use the package the means are as follow: ('HARMONIC', 0), ('ARITHMETIC', 1), (Geometric ,2),
('LEHMER', 4), ): When we read we set an object and average_type. Then if we define object on fist time the boolean variable is true. There is the value P which is used only for Lehmer (4)

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

generalized_average-0.0.0.4.tar.gz (2.1 kB view details)

Uploaded Source

File details

Details for the file generalized_average-0.0.0.4.tar.gz.

File metadata

  • Download URL: generalized_average-0.0.0.4.tar.gz
  • Upload date:
  • Size: 2.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.12

File hashes

Hashes for generalized_average-0.0.0.4.tar.gz
Algorithm Hash digest
SHA256 03bbcd50d9bb058ddfc40643d671bd2d159add5746fab579547494e9c4f194d0
MD5 869470c225099a76341173ea00f4a452
BLAKE2b-256 246a584a6c9017239c2573d322e52da61cda51d79ad83acc8fbf0badb9627139

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